Dayparting 101: Timing Your Amazon PPC Ads for Maximum Effect

Orange Klik
15 Feb 202447:12

Summary

TLDRIn this informative session, RTO Java from PPC Ninja shares valuable insights on mastering the timing of Amazon PPC ads through a strategy called day parting. By analyzing data and adjusting ad schedules, sellers can target customers during peak purchasing times, potentially improving conversion rates and reducing costs. The discussion highlights the importance of understanding the best hours for ad placement, the challenges of bid adjustments, and the benefits of campaign pausing. The session also touches on Amazon's own bid automation features and emphasizes the impact of day parting on organic rankings.

Takeaways

  • ๐Ÿ“ˆ Day parting is a strategy to control when Amazon ads appear to target customers during times they're most likely to purchase.
  • ๐Ÿ› ๏ธ RTO Java from PPC Ninja shares tips on using day parting effectively to improve ad performance and efficiency.
  • ๐Ÿ•’ Budgets in Amazon ads reset at midnight, leading to higher CPCs in the early morning hours and potentially wasted ad spend.
  • ๐Ÿ“Š Conversion rates and ACoS vary throughout the day and week, with some hours being more profitable than others for ad spend.
  • ๐Ÿ”ง Download and analyze hourly data from Amazon's Sponsored Products reports to identify best and worst hours for ad performance.
  • ๐ŸŒก๏ธ Use heat maps to visualize data and determine optimal hours for ad spend based on conversion rates and costs.
  • ๐Ÿšซ Bid adjustments can affect ad placement, potentially leading to worse performance if not managed correctly.
  • โธ Campaign pausing can be an effective way to stop ad spend during low-performing hours, but may result in lower overall sales.
  • ๐Ÿ”„ Amazon's own bid automation features are limited and may not be as effective as manual strategies for day parting.
  • ๐Ÿ“… European-based Amazon sellers can meet experts like RTO Java in person at events like the European C-Commerce Conference.

Q & A

  • What is the main focus of the session with RTO Java from PPC Ninja?

    -The session focuses on mastering the timing of Amazon PPC ads through a strategy called day parting, aiming to target customers during periods when they are most likely to make a purchase.

  • What is day parting in advertising?

    -Day parting is the practice of controlling when your ads appear to target customers during specific time periods of the day when they are most receptive and likely to engage with your ads.

  • How does PPC Ninja assist Amazon sellers with their advertising?

    -PPC Ninja provides both software and services to help Amazon sellers optimize their PPC campaigns. They offer a self-service platform for users to benefit from PPC optimization and also provide professional services to manage accounts for sellers who need more direct assistance.

  • What are the two schools of thought regarding running ads during off-peak hours?

    -One school of thought suggests that even if ads are shown during off-peak hours, interested customers will engage, making it worthwhile. The other school believes that running ads during hours when conversion rates are low, such as late nights or weekends, is inefficient and a waste of budget.

  • How can sellers identify the best hours for their PPC ads?

    -Sellers can access hourly data from Amazon's sponsored product advertising reports to analyze performance metrics like conversion rates and ACoS (Average Cost of Sale) at different times of the day and week. This data can be compiled and visualized to determine optimal ad scheduling.

  • What is the impact of budget settings on day parting efforts?

    -Budget settings can be challenging for day parting because Amazon may not strictly adhere to the set budgets, potentially spending more or less than planned. To better control day parting, sellers can adjust their base bids and use Amazon's schedule-based bidding options or campaign pausing techniques.

  • What are the potential drawbacks of using bid adjustments for day parting?

    -Using bid adjustments can inadvertently change the placement of ads. Lowering bids might result in ads appearing in less favorable placements, potentially leading to lower conversion rates and poorer performance outcomes.

  • How does campaign pausing work in the context of day parting?

    -Campaign pausing involves manually turning off campaigns during hours when performance is typically low. This method allows sellers to concentrate their ad spend during peak hours, potentially improving overall campaign efficiency and conversion rates.

  • What is the significance of conversion rates in relation to organic ranking on Amazon?

    -Conversion rates are a key factor in determining organic rankings on Amazon. By improving conversion rates through effective day parting, sellers can potentially enhance their product's organic search ranking.

  • What are some common mistakes sellers make with day parting strategies?

    -Common mistakes include relying solely on bid adjustments without considering placement changes and expecting precise budget control with Amazon's default settings. Sellers should also be cautious about using third-party software that might conflict with manual day parting adjustments.

  • How can sellers avoid the pitfalls associated with day parting?

    -Sellers should thoroughly analyze their ad performance data, understand the potential impact of bid adjustments on ad placements, and consider using campaign pausing or Amazon's schedule-based bidding options for more control. Additionally, adjusting the budget flexibility setting to a lower percentage can provide more control over ad spend.

Outlines

00:00

๐Ÿ“… Introduction to Day Parting Strategy

The video begins with an introduction to the day parting strategy for optimizing Amazon PPC ads. The guest, RTO Java from PPC Ninja, discusses the importance of controlling ad timings to target customers during periods of high purchase likelihood. RTO shares insights on how to use day parting to improve ad efficiency and avoid wasting budget during less productive hours.

05:01

๐Ÿ•’ Understanding Day Parting

This section delves into the concept of day parting, explaining its origins in traditional media advertising and its application in the digital space. Day parting involves targeting ads to consumers during specific hours when they are most receptive. The discussion highlights the importance of aligning ad scheduling with customer behavior patterns to enhance ad effectiveness and mentions the challenges of applying day parting in Amazon's dynamic advertising environment.

10:02

๐Ÿ“Š Analyzing Performance Data

The speaker presents a detailed analysis of ad performance data, including conversion rates and ACoS (Average Cost of Sale) across different times of the day and week. The data reveals patterns that can guide advertisers on when to allocate their budget more effectively. The segment emphasizes the value of collecting and analyzing hourly data from Amazon's sponsored product reports to make informed decisions on ad scheduling.

15:05

๐Ÿ› ๏ธ Implementing Day Parting Strategies

This part discusses various methods to implement day parting on Amazon, including bid adjustments, budget adjustments, and campaign pausing. The speaker cautions against relying solely on Amazon's default bid adjustments and suggests more precise control through campaign pausing or manual bid adjustments. The segment also touches on the limitations of Amazon's bid automation features and the need for careful management of campaigns.

20:05

๐Ÿ”„ Amazon's Schedule-Based Bidding

The speaker critiques Amazon's schedule-based bidding feature, highlighting its limitations and potential for confusion when used alongside optimization software. The discussion suggests that while Amazon's attempt to support day parting is appreciated, the current implementation is not fully reliable and requires significant manual management, especially when dealing with numerous campaigns.

25:06

๐Ÿ“‰ Results and Insights from Day Parting

The speaker shares the positive outcomes of implementing day parting strategies, including significant reductions in ACoS and improved performance across the week. The segment emphasizes the importance of testing and adjusting day parting strategies based on data analysis. The speaker also addresses concerns about potential loss of sales due to campaign pausing and offers advice on how to balance this with overall ad performance improvement.

30:06

โฐ Handling Hourly Data from Amazon

The speaker advises caution when reacting to Amazon's hourly performance data due to potential inaccuracies and attribution delays. The segment stresses the importance of using historical data to identify patterns and make informed decisions rather than relying solely on real-time data. The speaker also shares opinions on the limitations of Amazon's marketing stream data and the need for specialized software to effectively utilize this data.

35:08

๐Ÿค Engaging with the Community and Upcoming Events

The video concludes with an invitation for viewers to engage with the speaker and the host on LinkedIn and via email for further discussions on day parting. The host also promotes an upcoming European-based Amazonๅ–ๅฎถไผš่ฎฎ where the speaker will be a featured expert, offering opportunities for sellers to learn and network with industry professionals.

Mindmap

Keywords

๐Ÿ’กDay Parting

Day parting is a strategy that involves controlling when Amazon ads appear to target customers during the time period when they are most likely to make a purchase. It's about optimizing ad spend by focusing on the hours of the day and days of the week when potential customers are most receptive to advertising. In the context of the video, day parting is used to improve the efficiency of PPC (Pay Per Click) advertising on Amazon, ensuring ads are shown during the times that yield the best results in terms of conversion rates and cost-effectiveness.

๐Ÿ’กAmazon PPC Ads

Amazon PPC (Pay Per Click) Ads are a form of advertising where advertisers pay a fee each time their ad is clicked. It's a critical component of Amazon's advertising platform, allowing sellers to promote their products and increase visibility. In the video, the focus is on optimizing these PPC ads through day parting strategies to ensure that ads are shown at the most opportune times to potential buyers, thereby maximizing the return on ad spend.

๐Ÿ’กConversion Rate

Conversion rate is a metric that measures the effectiveness of a marketing campaign by calculating the percentage of clicks that result in a desired action, such as a purchase or a sign-up. It is a key performance indicator (KPI) used to assess the success of advertising efforts. In the video, conversion rate is discussed as a critical factor in determining the best times to show ads, with the goal of increasing the number of conversions during high-performing hours.

๐Ÿ’กACoS (Advertising Cost of Sales)

ACoS, or Advertising Cost of Sales, is a metric used in Amazon advertising to measure the efficiency of ad spend by dividing the cost of advertising by the revenue generated from sales that can be attributed to the ads. A lower ACoS indicates a more cost-effective advertising campaign. In the context of the video, ACoS is used to evaluate the performance of ads at different times of the day and week, helping to inform day parting strategies.

๐Ÿ’กBudget Adjustments

Budget adjustments refer to the practice of altering the allocated budget for advertising campaigns based on performance or strategic objectives. In the context of Amazon PPC ads, budget adjustments can be used as a day parting tactic by increasing the budget during high-performing hours and decreasing it during less effective hours. However, the video notes that Amazon may not strictly adhere to these adjustments, which can complicate efforts to control ad spend.

๐Ÿ’กBid Adjustments

Bid adjustments are changes made to the maximum amount an advertiser is willing to pay for each click on their ad. This can be used as a day parting strategy to increase bids during peak hours when conversion rates are high and decrease bids during off-peak hours. However, the video cautions that lowering bids may impact ad placement, potentially leading to lower conversion rates if the ad appears in less favorable positions.

๐Ÿ’กCampaign Pausing

Campaign pausing is the act of temporarily halting an advertising campaign to stop ads from being shown during specific times when they are unlikely to be effective. This strategy is used in day parting to avoid wasting budget on hours when conversion rates are low. In the video, campaign pausing is presented as a viable option for achieving day parting, allowing advertisers to focus their budget on the hours that yield the best results.

๐Ÿ’กPPC Ninja

PPC Ninja is a software and service provider specializing in Amazon ads optimization. They offer a platform used by hundreds of users to optimize their PPC campaigns and also provide professional services to manage Amazon ad accounts for clients. In the video, RTO Java, the CEO of PPC Ninja, shares insights and tips on day parting strategies for Amazon PPC ads.

๐Ÿ’กAmazon Marketing Stream

Amazon Marketing Stream is a feature that provides real-time data on advertising performance, including clicks, sales, and other metrics. It allows advertisers to monitor their campaigns on an hourly basis. However, the video script cautions that relying solely on this real-time data can be misleading due to attribution delays and the lack of a broader data context.

๐Ÿ’กEuropean Amazon Sellers

European Amazon Sellers refers to individuals or businesses that sell products on Amazon marketplaces targeted at customers in Europe. These sellers need to consider the unique characteristics of the European market, including different buying patterns, languages, and regulations. The video mentions an upcoming event, the European C-Conference, which is designed to help experienced sellers in Europe grow their businesses further.

Highlights

Day parting is a strategy that allows you to control when your Amazon ads appear to target customers during periods when they're most likely to make a purchase.

RTO Java from PPC Ninja shares valuable tips on day parting strategy for optimizing Amazon ads.

PPC Ninja is a software and service provider specializing in Amazon ads, offering both a self-service platform and professional account management.

Day parting can help you get more from the same budget by targeting customers during hours of the day when they are most receptive to advertising.

Traditional media used day parting to control the hour of the day when ads were shown for maximum impact.

Amazon's Sponsored Products Advertising reports provide hourly data that can be used to analyze the performance of your ads.

Bid adjustments can change the placement of your ads, potentially leading to worse performance if not managed correctly.

Amazon's budget adjustments are not precisely followed, which can complicate efforts to achieve effective day parting through budget control.

Campaign pausing is a method of day parting that involves manually pausing campaigns during hours when they are unlikely to yield good results.

Amazon's own bid automation or bid adjustment by day has limitations and may not be the most reliable solution for day parting.

Improving conversion rates through day parting can also enhance organic rankings, as conversion rate is a key signal for organic ranking.

Day parting strategies should be based on your own product data rather than general market trends.

To implement day parting, you need to download hourly performance data from Amazon's Sponsored Products Advertising reports and analyze it.

Heat maps can be created using data from Amazon's reports to visually identify the best and worst hours for ad performance.

Software solutions like PPC Ninja's can automate campaign pausing, making day parting more manageable for advertisers.

Day parting can help you stretch your advertising budget further by focusing spend on the hours that yield the best results.

Amazon's default setting allows for budgets to increase by 100%, but this can be adjusted to 25% in the account settings for better control.

RTO Java emphasizes the importance of testing day parting strategies step by step to avoid overwhelming changes and to measure results effectively.

Transcripts

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in this session we will be talking about

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how you can Master the timing of your

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Amazon bpc ads to Target your customers

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in the best possible way this strategy

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is called day parting and it allows you

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to control when your Amazon ads appear

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to Target your customers during the time

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period when they're most likely to make

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a purchase and today my guest will be

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RTO Java from BBC ninja who has some

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great tips uh to share with you about

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this strategy so let's welcome her here

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today with me hio how are you doing hey

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leet I'm doing good thank you so much

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for having

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me very great uh you have been to our

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channel before for webinars and also for

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uh other video recordings and your

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videos are always very very popular

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because you go straight to the point you

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share what you know so others could

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basically use the same strategies right

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yeah thank you so much for saying that

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yeah I try to do that as much as I can

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so yeah appreciate it okay so as always

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you know uh we usually start with the

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introduction because because uh today as

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well we might have people here watching

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us live uh who are not so familiar with

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your background in Amazon space so could

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you shortly introduce yourself and let

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us know what PPC ninja is also doing to

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help Amazon sellers yeah absolutely um

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yeah so I have been in the e-commerce

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space uh for about 10 years uh or so I

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used to uh be an Etsy seller and uh

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that's when I kind of uh you know got

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into e-commerce and uh learned about

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advertising and uh marketing and

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uh I'm an engineer by background so this

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was like a completely different type of

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uh Venture for me uh but then you know

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fast forward to today I'm basically so

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deep into PPC uh I've been the CEO of

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PPC ninja since

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2019 uh and uh we are a software and

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service provider for Amazon ads and so

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uh we have a self platform which uh you

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know hundreds of uh users uh are using

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to get uh you know lots of benefits from

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their bpc optimization and then we also

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have the services side where we actually

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go in and manage your account for you uh

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because you know there's so much to

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learn with BBC and it's hard to keep up

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with all the changes and you know all

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the new things that Amazon uh throws at

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us so uh we're we're Professional

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Organization uh that specializes in uh

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Amazon

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advertising okay sounds good uh that's

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why uh yeah you have been uh recording a

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lot of different types of PPC videos as

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well and usually of course one of the

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main questions sellers have about ppcs

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like how can I get more from the same

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for the same budget or how can I stop

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wasting my money and use it more

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efficiently so they parting is

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definitely one strategy uh they can use

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to do it um so how we will do today Ru

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has prepared some slides for us uh to go

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more into the details but if you're

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watching us live and you have any

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questions for her regarding this

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strategy leave them in the chat box

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because we're gonna come back to those

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questions uh soon uh and then Rich will

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also answer and of course if you you

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like what she's sharing and and you

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enjoy this webinar don't forget to like

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this video and also subscribe to our

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orang YouTube channel because uh then

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you will see more webinars like this in

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the future so um yeah RTO I think you

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can um share your screen with us and we

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can go uh straight to the presentation

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yep uh let me do that right now

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okay okay uh do you see my screen

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uh yes perfect okay awesome um all right

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so yeah we're going to be uh doing a

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little bit of a deep dive into tap

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parting and I know this is uh a very

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like uh interesting topic for a lot of

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people uh it's also a little bit of a

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controversial topic because uh you know

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there's two schools of thought one that

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says hey um you know even if your ads

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are showing you know in the middle of

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the night and if someone is uh

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seeing your ad and clicking on it they

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probably want to buy it uh and therefore

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it's okay uh to kind of allow that uh

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you know customer uh to explore your ads

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and explore your brand um but then

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there's the other school of thought

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which says uh hey um you know in those

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hours of night like middle of the night

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or uh let's say some brands that don't

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sell really well on Saturdays and

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Sundays um you know why should we run ad

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uh at a higher uh CPC when it doesn't

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make sense uh these Shoppers are not

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likely to convert as well as Shoppers in

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other hours of the day so there's that

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kind of controversy and people have like

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different opinions about this uh but

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what I'm planning to do here is to show

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you like just the whole um you know

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range of opportunities we have with uh

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day parting and then you can choose what

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works uh the best for for you okay so uh

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before I get into all those details let

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me just talk a little bit about what is

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day parting so that you know anybody who

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doesn't really understand it or

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understand the historical reason for day

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parting uh you know this will become uh

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hopefully clarifying for you so day

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parting is this idea that you know there

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are certain Shoppers that you can reach

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at certain hours of the day when they

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are most receptive to seeing your ad so

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let me translate that into the TV world

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right so uh let's say you're having

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breakfast in the morning you're watching

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your morning shows or whatever um and

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then you're served and add for something

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that is to do with your cereal you know

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yummy cereal or sugar-free cereal or

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something like that um it's likely to

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register much better than if you talk

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about let's say wine for example so it

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would be like wrong targeting if you're

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talking about wine like for thing in the

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morning like the best wines to have and

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stuff like that so there's a time for

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everything while you know it's quite

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possible that someone is so into wine

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that they'll say okay I'll take that ad

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in the morning first thing in the

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morning but you get what I'm saying

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there's a certain hour of Day when

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people are more in tune with the ad

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shown and so that's how traditionally

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day parying was done it was basically

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done by uh TV channels and uh media

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channels controlling the hour of day

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when they felt and ad was going to be

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the most impactful right now there's

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nothing wrong with running Those ads in

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other times of the day it's just that

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you won't get the same kind of result

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you may not get uh the same attention

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you may not get the same um you know in

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Amazon's world the same CPC you might

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get uh a worse CPC in those hours and

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that's why you want to be mindful of

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what hour of the day is best suited for

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your products now hour of day is one

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thing but then there's also uh day of

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week some brands are mostly business

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focused Brands and their customers are

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shopping between Monday and Friday and

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Saturdays and Sundays tend to be the

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slow days you know people are maybe

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looking at ads but they're not in the

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mode uh where they might you know shop

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right away maybe they register your

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brand and maybe come back to it later

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but that's just a maybe you know they

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may not right that you know that makes

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the ad a little bit less effective uh

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because you're betting on someone taking

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action um based on their memory of of

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you or if let's say you're a brand that

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is very memorable then maybe uh it might

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serve as like a continuous reminder that

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hey Coke is something uh that you want

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to enjoy but that's not the case for

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business buyers Saturday Sunday is the

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other day when they're not looking at uh

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work related stuff so again for those

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sorts of Brands you know being uh a

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little bit more conservative with your

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ad spend on the weekends uh might give

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you that extra budget that you can and

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then channel to those hours of the day

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and week that you can get a little bit

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better result right so your dollar can

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be stretched further right when you

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repurpose that that same dollars that

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you're spending on the Saturday and

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Sunday if you use that same money and

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use it during the week you're likely to

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get much better results so it's just a

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matter of like thinking about like when

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do I want to spend this money should I

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really spend like three or four dollars

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per click during the weekend or should I

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spend just two or three doar click

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during the weekday and you know get

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better results okay so that's generally

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the idea of

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departing uh now in Amazon's world day

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parting takes on another flavor and

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that's basically the uh these two things

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that are that you're seeing on the

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screen number one that budgets get reset

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at 12: midnight so you know while in the

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traditional world there's no such

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concept of budgets getting like reset at

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a particular time they're just uh

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slotting their ads in into the best time

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of the the day that they think their

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Shopper is uh available mentally but

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when budgets get reset what tends to

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happen is that at those hours of

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midnight you know Amazon will start

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showing your ads and at higher cpcs so

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you tend to have like higher cpc's in

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the middle of the night uh for some

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reason because they want to spend and

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then a lot of people report this that

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you know by 8:00 a.m. in the morning

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their budget is already consumed you

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know so that's unfortunate because you

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know nobody really bought they saw ad

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but they clicked around they weren't

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really in the the mode for buying and so

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you've wasted your money by spending

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maybe double of what you would spend

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during the day uh and get the advantage

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of more clicks with the same amount of

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money so that's basically the Amazon uh

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kind of twist on day parting and so

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therefore it becomes important for us to

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be mindful of like when we should be

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spending our our

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money now I want to show you some uh

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examples

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uh of like uh perform performance at

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different hours of the day so here is a

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conversion rate uh chart uh between 12:

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a.m. and then um 12 midnight so the

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whole 24hour cycle uh as you can see

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here for for this brand it shows uh that

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between 4:00 a.m. and about 1: p.m. you

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had like elevated conversion rate and

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then after that the conversion rate

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itself started to drop off uh same thing

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in the morning it was slowly picking up

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like from 12 a.m. uh through 4 a. the

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conversion rate was slowly inching up

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but then it you know drops up pretty

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sharply after 1pm so what does this tell

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us conversion rate basically means the

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uh the formula is uh orders divided by

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clicks right so the amount of orders

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that you can get for the same number of

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clicks that's higher in this uh middle

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band right so you can stretch your your

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money a little bit further because you

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you need fewer clicks to to make the

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same amount of sales right and so you're

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able to kind of optimize if if you can

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optimize for the best conversion rate

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hours that actually uh lets you stretch

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your dollar

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further now here's another view of the

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24-hour window which is um AC cost right

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we're looking at AC cost being the worst

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between 12:00 a.m. and 4:00 a.m. and

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then being the best during these hours

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in the middle of the day and then again

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creeping up to becoming really really

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bad so so again like I said if you can

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channel the amount of money you're

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spending in these off hours and bring

play11:34

them over to the middle of the day then

play11:37

you uh can you know stretch your dollar

play11:40

further now here's one for day of week

play11:43

so conversion rate on day of week uh

play11:46

Sundays here and Saturdays are below the

play11:48

average line here so again it shows that

play11:51

for for this uh example I'm showing the

play11:54

conversion rates aren't that great on

play11:56

weekends so again you can make some

play11:58

adjustments

play11:59

uh and then again I'm going to look at

play12:01

the day of week AC cost and you can see

play12:03

clearly that a cost tends to be above 20

play12:06

20% uh which is the average through the

play12:08

week and it's even touching about 40% on

play12:12

the weekends so again these are all

play12:15

potential uh savings opportunities and

play12:17

we're going to look at how we can do

play12:20

that uh you know the example I'm showing

play12:23

here is basically saying that hey if we

play12:25

could uh cut out the spend that were uh

play12:28

utilizing on these uh weekends like

play12:30

Saturday and Sunday uh and then move

play12:33

that over to the rest of the week then

play12:35

you would basically essentially save

play12:37

this money and use it uh where it does

play12:40

uh you know much

play12:42

better now before we uh jump to any

play12:45

conclusions about what time of day is

play12:48

best for us we've actually got to dig

play12:50

into the data to search for it and uh

play12:53

and actually know for ourselves you know

play12:55

what are the worst and best hours of the

play12:58

day and the week

play12:59

so to do that it's very uh uh convenient

play13:03

uh now actually because Amazon has

play13:05

started providing hourly data uh which

play13:08

you can access uh from your sponsored

play13:11

product um advertising reports so if you

play13:14

go into sponsored products and then you

play13:16

go into campaigns that's the only report

play13:19

that has uh hourly data so you've got a

play13:21

select campaign not keyword not search

play13:23

term it has to be the campaigns report

play13:25

so you pick up your campaigns report and

play13:27

then automatically this time unit um uh

play13:31

selection will show up and now you can

play13:33

pick hourly so at the moment they're

play13:37

giving you only last 14 days of data and

play13:39

you can look back 30 days that's

play13:41

basically what it is so I would

play13:43

recommend everybody to just uh start

play13:46

downloading these reports like every 14

play13:48

days looking back 30 days so that you

play13:50

can get enough data to kind of make your

play13:53

conclusions because one of the problems

play13:56

with uh acting on less data is that you

play13:58

might might make the wrong decision

play14:00

right so it's always good to have data

play14:02

sufficiency and for that reason you

play14:04

might need to get get more um Windows of

play14:07

time uh to examine and to stitch

play14:10

together and then you have substantial

play14:12

data and then you can draw your

play14:13

conclusion like you know in statistics

play14:16

they say that you need at least 30 data

play14:18

points before you can make a sample size

play14:20

that is reliable for extrapolation so if

play14:23

you want to do extrapolation and not

play14:25

just do like one-offs uh you know oneoff

play14:28

based decision then you have to have

play14:30

data that is uh collected over time and

play14:32

stitched together so that you can say

play14:34

with certainty that yes this is my

play14:36

pattern and then patterns are things

play14:38

that you can actually rely on because

play14:40

they tend to repeat right when you look

play14:42

at your data you'll see oh you know with

play14:45

certainty you can say that between this

play14:46

hour and this hour uh over time I've

play14:49

noticed that I do better or this hour to

play14:52

this hour I don't do as good so that's

play14:54

the idea of getting this report

play14:56

downloaded next what you want want to do

play14:59

with that report is you want to plot it

play15:01

like this in the form of a heat map now

play15:04

this was done very simply with uh Google

play15:07

Sheets you can uh create some pivots uh

play15:10

you can even ask Chad GPD for help uh to

play15:13

come up with the formulas um chat

play15:16

GPT version for the paid version uh can

play15:20

also actually do a lot of this stuff for

play15:22

you if you just upload your um uh your

play15:25

downloaded file and just say hey I want

play15:27

to create a heat map uh that shows me

play15:30

Monday through uh Sunday and hours of

play15:33

day what formulas should I use so you

play15:35

should be able to create that fairly

play15:36

easily with your with your uh with help

play15:38

from chat GPT on your own uh but anyway

play15:41

we created this uh with uh some

play15:43

Automation and stuff now this actually

play15:46

shows me um uh the hours of day where uh

play15:50

the uh spend is sparse uh and these are

play15:53

the hours of day that uh you know middle

play15:56

of the day middle of the night sorry uh

play15:58

and this is just the spend chart but we

play16:00

actually do this for spend for sales for

play16:04

conversion rate uh and for a cost and

play16:06

then we compare all of those and see

play16:09

what are the times that we don't want to

play16:12

spend because it's um wasted uh it's

play16:16

kind of not converting as well or a cost

play16:18

is poor cpcs are high uh so you can make

play16:21

all those different uh heat Maps uh and

play16:23

then come to your conclusions about uh

play16:26

what hours of day you want to tackle

play16:29

now I would say if you're not uh

play16:31

comfortable with losing sales because

play16:33

you have very low sear uh let's say very

play16:36

very low uh sales velocity and you don't

play16:39

want to do any of this that's fine uh

play16:42

and maybe you can start with you know

play16:44

just a very small band uh you don't have

play16:46

to kind of say precisely that between 12

play16:50

midnight and 5 you know I'm going to

play16:53

block these hours off uh you can even

play16:55

just say hey my worst two hours in the

play16:58

day are

play16:59

12:00 a.m. to 2: a.m. for example so you

play17:03

don't have to kind of be extremely

play17:06

aggressive about it you can start small

play17:07

and see the results measure them and

play17:10

then figure out what you want to do with

play17:11

with that data right so don't be afraid

play17:14

to experiment maybe just for an hour uh

play17:16

and see what

play17:18

happens now there's a few different ways

play17:21

to achieve day parting and I'm going to

play17:22

explain uh those three ways and um

play17:27

there's no right or wrong answer but we

play17:28

do have uh some suggestions and some

play17:31

recommendations for uh you know what

play17:34

kind of uh optimization to do for

play17:36

achieving day parting so the first one

play17:39

which a lot of people talk about is Bid

play17:41

adjustments so the idea here is that in

play17:44

the best hours of the day you keep your

play17:47

bids higher and in the worst hour hours

play17:50

of the day you lower your bids like you

play17:52

bring them down quite a bit now there is

play17:56

uh some pros and cons to doing that I'll

play17:57

just come to that in a second let me

play17:59

talk about the next one so the next way

play18:01

that people are talking about achieving

play18:03

day parting is by making budget

play18:05

adjustments uh extremely hard to do

play18:07

because um you know Amazon budgets are

play18:10

set at the the day level uh and really

play18:13

by hour hourly uh adjustments you're

play18:17

just going to be approximate about it

play18:19

like I don't think it's easy for anybody

play18:21

to kind of do it um

play18:24

precisely um and uh also I'll explain

play18:27

the reason why it's not so easy and then

play18:30

the third method is to basically pause

play18:33

your campaigns in those hours when

play18:35

you're not likely to get a good result

play18:38

right so now let's dive into the uh kind

play18:41

of uh challenges with each of these

play18:44

methods so with bid adjustment let's say

play18:47

you try to do bid adjustments um let's

play18:50

say you lower your bid because it's

play18:52

really you know the the worst times of

play18:54

the day you youd really bring your bids

play18:57

down uh what what happens with bringing

play18:59

your bids down is that it impacts your

play19:02

placement uh so as you know there's

play19:04

three placements there's top of search

play19:06

there's uh product pages and there's

play19:08

rest of search those are the three

play19:10

typical placements on Amazon there's

play19:12

also off of Amazon but let's not bring

play19:14

that in let's just talk about these

play19:16

three placements so what happens is that

play19:19

each placement tends to be aligned with

play19:23

the bid band uh so like if you're

play19:26

bidding super high let's say you're

play19:27

bidding $3 to $4 per click um it tends

play19:31

to be more aligned with showing up uh

play19:33

substantially more on the top of search

play19:36

uh versus any other placement and on the

play19:39

other hand uh if you have a low bid

play19:41

let's say 40 cents 50 cents something

play19:43

like that uh you know that seems to

play19:45

never win top of search it seems to be

play19:48

more aligned with uh you know some of

play19:50

the other placements like rest of search

play19:52

or product pages so what do you achieve

play19:55

by lowering your bids uh it can actually

play19:57

have the effect of switching a placement

play20:00

instead of improving the result right so

play20:03

if your placement has switched from top

play20:05

of search which let's say had a high

play20:07

conversion rate and your product pages

play20:09

let's say had a poor conversion rate

play20:11

well now what you've done is you've

play20:13

promoted a high converting um keyword

play20:16

into a very low converting keyword on

play20:18

the placement that gives you um enough

play20:22

Impressions and enough clicks uh but you

play20:25

know given the the low bit it gives you

play20:27

enough Impressions and clicks but the

play20:29

performance there isn't great so your

play20:31

goal was to improve the performance and

play20:33

now you ended up making it worse because

play20:36

it's showing up in a in the wrong

play20:37

placement so that's just a challenge

play20:40

because I wish Amazon gave us three

play20:42

different bids for three different

play20:43

placements but they don't they just give

play20:45

us one bid and then we have to control

play20:47

you know how those things show up uh so

play20:49

that's basically the the challenge with

play20:51

the bid adjustment now as you guys know

play20:54

Amazon has also come out with their own

play20:57

uh bid automation or bid adjustment by

play20:59

day and I'm going to talk about that in

play21:01

the next slide uh and so that is also

play21:03

another option under bid adjustment but

play21:06

also has a little bit of challenges so

play21:08

I'm just uh going to defer that to the

play21:10

next slide next let's let's talk about

play21:13

budget

play21:14

adjustments so the challenge with budget

play21:17

adjustments is that uh it's not exactly

play21:19

followed by Amazon uh any kind of budget

play21:22

gaps uh you're setting today uh are

play21:25

subject to some Le leeway like your not

play21:28

exactly spending the same amount that

play21:30

you're uh you're budgeting so let's say

play21:33

your budget is um uh $40 a day right uh

play21:39

Amazon can actually change uh that

play21:42

amount from 40 to 80 uh and spend more

play21:45

on one day and make up on some other

play21:48

days well that doesn't give us uh you

play21:50

know control because that's up to Amazon

play21:53

like how they distribute the budget

play21:55

across the month to make a you know to

play21:57

make sure that they stay within the

play21:58

total you know 30 times whatever your

play22:01

daily budget was uh that again is up to

play22:04

Amazon and they might uh who knows they

play22:06

might um you know use more of your

play22:09

budget on the days when you don't want

play22:10

it to use more of your budget like a

play22:12

Saturday or a Sunday or any other day of

play22:15

the week depending on your business type

play22:17

uh so then how do you control that right

play22:19

you can't control it now like I said the

play22:22

budget can actually go from 40 to 80

play22:24

because by default there's a setting in

play22:26

your account settings with in uh

play22:28

sponsored ads uh that allows them to

play22:32

increase the budget by 100% And that's

play22:35

the default setting by the way so if you

play22:36

guys haven't noticed it I would

play22:38

recommend that you go there and change

play22:40

that to 25% they only give you two

play22:42

options one is 100% the other one is 25%

play22:46

so let's say your 100 your sorry let's

play22:48

say your budget is $100 with the 25%

play22:52

option your budget will only go up to

play22:55

125 uh but if it's set to the default

play22:58

your budget can actually go up to $200

play23:01

so that's the reason why because this is

play23:04

not precisely followed by Amazon it

play23:06

becomes a little bit messy to try to

play23:08

achieve uh Dearing through budget

play23:11

adjustments now the third option is

play23:14

campaign pausing in those worst hours of

play23:17

day when or week when you're not seeing

play23:20

good results now this does the job

play23:22

however yes there's a chance that uh you

play23:25

will have lower sales because those

play23:27

worst are hours were also bringing in

play23:29

some sales even though it was like one

play23:30

or two sales in the middle of the night

play23:32

but they were at like 200% a cost or

play23:34

whatever so yes you will lose sales but

play23:37

then would you rather lose those sales

play23:39

and use that money to uh you know have

play23:42

better sales in a different time of day

play23:44

or you still want that sale uh that's up

play23:47

to you uh it really depends on your

play23:49

business it really depends on what phase

play23:52

uh whether you're desperate for any

play23:54

movement uh or you have some sort of

play23:56

stability and now you're just just

play23:58

looking to fine-tune that and optimize

play24:00

that so uh like I would say uh for us

play24:04

campaign pausing has been uh great uh

play24:06

it's actually help helped to do the job

play24:09

like we've been able to cut back on our

play24:12

uh spending in the worst hours and uh

play24:15

literally challeng channel that uh

play24:17

amount to the best hours and um you know

play24:21

it really does uh

play24:23

great now let me show you Amazon's uh

play24:26

you know version of the schedule based

play24:29

uh biddings okay so where can you find

play24:31

this uh you want to go inside your

play24:34

campaign settings and within your

play24:36

campaign settings you will see campaign

play24:39

bedding strategy right here and uh this

play24:42

has two options one is uh rule-based

play24:46

bidding and the other one is uh other

play24:49

bidding strategies with scheduled rules

play24:52

um I would recommend uh not setting the

play24:55

root based bidding because that's uh

play24:58

it's kind of uh up to Amazon to change

play25:01

your beds throughout the day I mean this

play25:02

is not really uh like an hourly uh

play25:05

bidding strategy it's just uh overall

play25:07

Amazon uh gets to pick whatever time of

play25:10

day or night or whatever bids to keep

play25:13

your um campaign performance within a a

play25:17

given draas Target uh now they don't

play25:21

really do a good job on the downside

play25:23

they might say okay to get you um you

play25:26

know uh like a a better uh Ras uh they

play25:29

might just you know increase your uh

play25:33

budgets uh and increase your bids in a

play25:36

certain way um but they won't bring it

play25:38

down right so that's a little clunky so

play25:40

I I I would recommend not going there

play25:42

yet till they improve their uh logic but

play25:45

if you go here in the other bidding

play25:47

strategies you have to pick either down

play25:49

only or up and down or fixed that's up

play25:52

to you like based on I mean that's a

play25:54

whole another discussion about which of

play25:56

these you should be using

play25:58

but let's say you CH you chose down only

play26:00

right and then you have this add-on

play26:03

which is with scheduled rules so how

play26:05

does this work you basically click on

play26:07

ADD schedule

play26:08

Rule and then you start uh you know set

play26:12

a start date um and then you say uh

play26:16

recurrence is daily and then hours of

play26:19

day you can choose a start and end time

play26:21

for when uh this rule based bidding will

play26:25

kick in or schedule based bidding will

play26:28

kick in now you can uh tell Amazon to

play26:31

make a bit adjustment by a certain

play26:33

percentage like let's say 20% and then

play26:36

you want to give some name to it like

play26:38

midday increase by 20% now the downside

play26:42

to doing this method is that Amazon only

play26:47

has the ability to increase your bids by

play26:52

whatever percentage you specify here

play26:53

they don't have the ability to decrease

play26:56

your bids in the worst hours

play26:58

so then how do you manage this well the

play27:00

only way to manage this would be to

play27:02

lower your bids down across the board

play27:05

like all of the keywords in that

play27:06

campaign you'll first have to lower your

play27:09

bids and then apply a bid adjustment for

play27:13

a given time window that's basically how

play27:16

the setup will

play27:18

work now there's another challenge with

play27:20

this um you know apart from The

play27:23

Challenge of not being able to do

play27:24

negative uh bid adjustment the other

play27:26

challenge is is that let's say you want

play27:28

to combine this with some sort of uh

play27:31

software like let's say you have an

play27:33

optimization software running well

play27:35

that's going to get pretty confused and

play27:37

it is going to not be able to work

play27:40

together with this so you'll have to

play27:41

pick either this or that because

play27:44

otherwise if you if you're going to do

play27:46

both uh that's going to be confusing

play27:48

you're going to get mixed results and

play27:50

all kinds of results right uh so that

play27:53

that makes it pretty much like a manual

play27:55

thing then if you're using sub sort of

play27:57

automation you can no longer use that

play28:00

and now you have to do everything

play28:02

through these rules and it can get

play28:03

pretty cumbersome because you know if

play28:05

you have 100 campaigns well then now you

play28:07

have to manage these schedules for all

play28:10

those 100 campaigns manually right

play28:12

there's no really good way of doing it

play28:14

and another challenge is that if you

play28:16

lower your base bid to comply with this

play28:19

uh raised bid during the best hours well

play28:22

then there's a chance that that bid

play28:25

becomes so low that it doesn't even give

play28:27

you Impressions you know this doesn't

play28:29

even kick in at all because the bid has

play28:31

gone down to 10 cents or something you

play28:33

know it's like applying one of those

play28:35

900% modifiers on on the 10 cent bit it

play28:38

never worked right so that those things

play28:40

don't really work so you've got to have

play28:41

like some sort of like reasonable base

play28:44

bid uh in order to apply like a

play28:47

reasonable bid adjustment it can't be

play28:49

you know super precise or super targeted

play28:52

because it can uh vary and and you'll

play28:54

have to do a lot of like manual uh

play28:57

management of all of these different um

play29:00

you know C campaigns so for that reason

play29:03

I think that uh while Amazon did a you

play29:07

know it made an attempt to try and

play29:09

support the idea of um de poding uh you

play29:12

know their solution is still like half

play29:15

baked it's still not like ready to uh to

play29:18

be used reliably uh but I'd be

play29:20

interested to see if anybody has tried

play29:22

it and has seen like good results and

play29:24

maybe you have an sop that's you know

play29:26

fantastic and that's kind of given you

play29:29

the ability to do this at scale um but

play29:32

in any case like I mentioned earlier the

play29:34

option that we uh picked was uh this one

play29:38

the campaign pausing option and uh you

play29:40

know even within our software we have

play29:42

been testing the campaign pausing option

play29:45

so basically uh it's that heat map that

play29:48

you uh download from Amazon uh you

play29:51

basically translate that into uh you

play29:53

know our system and then just Mark all

play29:56

of the the hours of day that you want

play29:59

your campaigns to run or want the

play30:01

campaigns to be off and then we also

play30:03

have another layer of uh participating

play30:06

campaign because sometimes you want

play30:07

certain campaigns to be excluded from

play30:09

any kind of pausing you want them to run

play30:11

all day all day and night uh for example

play30:14

a branded campaign like you want always

play30:16

to be found and so you don't really care

play30:18

if the Branded campaign is achieving its

play30:20

goal uh throughout the night day

play30:22

whatever um and you're managing that

play30:25

through setting campaign level Target AC

play30:27

well then you can exclude that from uh

play30:30

the campaign pausing uh rules and then

play30:33

just uh let them run uh all day uh all

play30:36

week now let me show you some of the

play30:39

results uh based on the you know what we

play30:41

did so we typically started uh actually

play30:44

we started uh running uh departing

play30:47

around November uh and uh this is the

play30:50

before and after in terms of like uh

play30:52

just pure e cost right I'm just

play30:54

measuring pure e cost so if you can see

play30:56

here in this first case uh there was an

play30:59

average of 20% a cost throughout the

play31:02

week and then on the weekends it was

play31:04

like touching

play31:05

40% now we kind of uh did pretty

play31:09

aggressive day parting on the weekends

play31:11

to get rid of like the spend on these

play31:13

days um and then we also shaved off some

play31:17

of the hours that we had the worst

play31:19

performance during the week and these

play31:21

other the results so as you can see the

play31:23

entire account has come down below 20%

play31:27

so you're seeing every day that we're

play31:29

doing better than we were before plus if

play31:31

you notice the weekends performance is

play31:34

also you know uh so much better like

play31:37

it's actually closer to the 20% even

play31:39

lower than the 20% Mark that uh I showed

play31:43

you uh you know actually right here uh

play31:45

that was happening prior to us running

play31:48

uh these U the this test so we've done

play31:51

it for a bunch of uh clients now and

play31:53

we're seeing good results uh and uh

play31:56

that's basic basically my kind of uh

play31:59

recommendation uh to try do uh campaign

play32:01

pausing uh start with downloading your

play32:04

report from Amazon finding out the worst

play32:07

hours of the day blocking those off and

play32:09

then testing it you can you can test

play32:11

with like a very small window of of

play32:13

pausing so that you don't boil the ocean

play32:16

right we don't want to like kind of go

play32:17

all in or or or not let's do it like

play32:20

step by step and see how it can improve

play32:23

your overall performance um I guess

play32:26

there's one last thing to mention uh

play32:28

before we uh uh wrap up uh which is uh

play32:31

you know the hourly data that comes from

play32:34

uh Amazon I I also have an opinion about

play32:36

that that I'd like to share now of

play32:38

course these opinions do evolve over

play32:40

time and I'm talking to a lot of people

play32:42

to try and you know uh you know see what

play32:46

the the best kind of uh combination of

play32:48

strategies might be but let me talk

play32:51

about the hourly data that comes from uh

play32:54

Amazon marketing stream which gives you

play32:56

like you know after every hour it'll

play32:59

tell you hey in the previous hour you

play33:01

you had like 45 clicks and no sales or

play33:04

whatever so it's telling you uh in

play33:06

almost like a real time uh on a real

play33:09

time basis it's telling you what

play33:11

happened in the previous hour or let's

play33:13

say the previous hour had a very high a

play33:16

cost or whatever now that is actually

play33:19

very unreliable data only because

play33:22

attribution delays happen all the time

play33:25

so if you're trying to uh um react too

play33:28

soon uh you might have trouble because

play33:32

uh you know those hours or that hourly

play33:35

data is going to just make it very hard

play33:38

for you to make the right judgment first

play33:40

because the U data will be insufficient

play33:43

you don't have like days and days and

play33:45

days and weeks and months of data to to

play33:47

detect a pattern you're just reacting to

play33:49

just one hours of data one hour hours

play33:52

worth of data which is just the opposite

play33:54

of the statistical sanity of having

play33:58

enough data to make a decision you're

play33:59

basically saying I'm just going to do it

play34:01

on one hour's worth that's actually um

play34:05

uh quite dangerous unless we pair it

play34:07

with something else unless we also say

play34:09

hey we're going to look at the hourly

play34:11

data and we're going to look at

play34:12

historical data that still makes sense

play34:15

because then you can say okay this is in

play34:17

line with our historical but you can't

play34:20

do that manually you need you know some

play34:23

special super special software and I I

play34:25

know that that can get a little

play34:27

challenging uh so uh anyway so those

play34:30

were my thoughts on the hourly data as

play34:32

well still not a very reliable way uh

play34:35

unless you pair it with the historical

play34:36

way in which case you might as well use

play34:38

the historical way that uh I recommended

play34:40

uh through campaign pausing you don't

play34:42

really need anything fancier than that

play34:45

uh to come to those almost same

play34:47

conclusions about which hours of day you

play34:50

should be prioritizing so yeah that that

play34:52

brings me to the end um I mean if

play34:55

there's any questions um available on uh

play34:59

this email address and I'm also uh

play35:01

active on LinkedIn so if you have any

play35:03

questions want to uh have a chat uh feel

play35:05

free to reach out and I'll would be

play35:08

happy to engage um and have any further

play35:10

conversations around uh day

play35:12

parting thank you so much Ru uh was

play35:15

super interesting to hear you uh or

play35:17

listen to you and learn from you

play35:19

regarding to the tap parting and I have

play35:20

to admit I took my phone for a second so

play35:23

I wasn't looking at the screen and your

play35:25

presentation and I had to open the video

play35:26

and I had to like it because the way how

play35:29

you were explaining the day parting

play35:30

strategy so effortlessly and and in a

play35:32

such a good way that it's actually easy

play35:34

to understand and follow along uh that's

play35:36

really a skill and we also got already

play35:39

comments saying that's very useful so

play35:41

far in the middle of the presentation so

play35:43

uh thank you so much uh so a few things

play35:46

now uh if you're watching us live right

play35:48

now and you really enjoyed what Ru was

play35:50

explaining as well just as I did and you

play35:52

didn't yet like this video then please

play35:54

do that and support us and R as well uh

play35:57

so we could bring more videos like this

play35:58

uh to you in the future and as R

play36:01

mentioned in the very end um you usually

play36:03

go to events and talk with a lot of

play36:05

Sellers and other experts and that's

play36:07

kind of the good way how to stay on top

play36:09

of everything and before we go to a few

play36:12

very good questions which we received

play36:13

from the live audience I wanted to

play36:15

actually highlight that uh

play36:17

european-based Amazon sellers you have a

play36:19

chance to uh meet Ru very soon in person

play36:22

in Europe and also us pay sellers if

play36:25

you're interested in learning more how

play36:26

to sell better uh on the European

play36:28

marketplaces then uh there's something

play36:30

for you as well so let me just take one

play36:32

minute to share my screen um so I want

play36:35

to introduce you the European c

play36:37

conference which is our main event which

play36:40

we organize in Europe uh with the orange

play36:42

click team it takes place in brague

play36:44

Czech Republic uh from March 13 to 16th

play36:48

and this event is all about helping

play36:51

experienced and established sell sellers

play36:53

to uh grow even further uh to go beyond

play36:56

the first Millions uh which you have

play36:58

already uh achieved and just a quick

play37:01

overview of the event uh it's uh it

play37:03

lasts around uh three four days so we

play37:06

start with the VIP day on the March 13th

play37:09

where RTO is also actually one of the

play37:12

VIP experts meaning she will be leading

play37:14

uh small Master M sessions with the most

play37:16

experienced uh sellers attending the

play37:19

event and then on March 14th and 15 uh

play37:22

this is when the main event magic takes

play37:24

place uh this means basically two days

play37:26

is full of very actionable presentations

play37:29

from different speakers uh just like R

play37:31

and others um I'm going to introduce

play37:33

some others uh in a second as well and

play37:35

then we're gonna um finish the event

play37:38

with an advanced Workshop this year it's

play37:41

held by Chris rowlings and it's called

play37:44

um the brand transformation Workshop

play37:46

which means you will go into all of the

play37:49

growth strategies uh needed to grow your

play37:51

business further and as you can see uh R

play37:54

is here dim Jordan will be here from

play37:56

carpon 6 Tomy rabinovic leio and many

play37:59

many other uh sellers experts from

play38:03

Europe from us and from Canada as well

play38:05

so uh hopefully uh you're gonna join us

play38:08

as well and actually uh R it will be

play38:10

your first time at our event right yes

play38:13

yes I am so excited uh like I haven't

play38:16

been to Europe since gosh I was a kid so

play38:19

I'm really excited to you know come to

play38:21

Prague and uh you know be at your event

play38:24

uh I wanted to come last year hon but

play38:27

something didn't work out like so I'm so

play38:29

glad it's going to happen this time so

play38:31

yeah definitely if you want to learn

play38:33

more from R to 10 join us because you're

play38:35

actually going to present very

play38:36

interesting topic about also data and

play38:39

how to build data pipelines to uh even

play38:42

more connect all of the different data

play38:43

points you can get out of Amazon right

play38:45

now so definitely wor to come even just

play38:47

for uh your presentation but okay uh

play38:50

let's go to the questions then uh so

play38:53

let's go over uh where do you find the

play38:56

chart or the information for time um of

play38:59

day spend or day of a week spend yeah so

play39:02

I think it'll be best if I share my

play39:04

screen uh because I do have a slide

play39:06

there uh okay so I'll share my screen

play39:10

um so it's this one

play39:13

here and go full screen as well if you

play39:16

can yeah perect yeah yeah so friend

play39:19

basically you want to go into your

play39:21

advertising reports uh and then you want

play39:24

to pick sponsored products and then

play39:27

after that you want to pick campaign um

play39:29

and then this will show up and then you

play39:31

click on hourly uh and then you pick the

play39:33

last 14 days of data uh so that's

play39:37

basically how you can download it once

play39:39

you download it I would recommend uh

play39:41

collecting at least you know three sets

play39:45

of data like so after 14 days you do it

play39:47

again and then you do it again then you

play39:49

have enough data you Stitch that all

play39:50

together into one jumbo um you know uh

play39:53

report and then you use Google sheet

play39:56

sheets or Excel whatever you prefer and

play39:59

then translate that information into a

play40:01

chart like this you can do this through

play40:03

uh like pivot tables or through certain

play40:06

formulas uh and you can also ask chat

play40:08

gbd to help you with those formulas and

play40:11

build a heat map like this so this is

play40:14

the way to find out what's the best and

play40:16

worst hours uh you can also uh create

play40:19

these heat maps for different um

play40:22

different attributes like you can do it

play40:23

for Eos you can do it for uh version

play40:26

rate for cpcs because all of that data

play40:30

is right in that hourly report that you

play40:33

download from Amazon all of that

play40:34

information is already there okay so uh

play40:38

just to then follow up with a question

play40:40

from Joseph so uh he says hi from New

play40:43

York where can I see how my PPC

play40:45

conversion is doing by hour is there a

play40:47

report for that so I understand you get

play40:49

the same information from there yeah

play40:51

exactly so it's the same information

play40:53

Joseph uh it's just that you you will

play40:55

need to add a conversion rate column uh

play40:58

because Amazon does not generally

play41:00

provide conversion rate in their report

play41:02

they do provide it for certain reports

play41:03

but the campaign report you will have to

play41:05

create a calculated uh column that's

play41:08

basically orders divided by clicks and

play41:11

that's your conversion rate so you can

play41:13

plot that in the heat map and that's how

play41:15

you can get conversion rate by hour of

play41:18

day okay very good thank you so much um

play41:22

so Fran is also asking can you preset

play41:24

campaign pausing

play41:27

so you need uh software for that that's

play41:29

what I was sharing earlier that that's

play41:31

what uh our PPC ninja software is uh

play41:34

currently testing we haven't rolled it

play41:35

out to everybody yet but we've got a

play41:37

bunch of uh brands that are testing it

play41:39

out U so you do need uh some sort of

play41:42

software to go in every hour and turn

play41:45

off those campaigns that you've selected

play41:47

right you can also uh choose which

play41:49

campaigns won't participate in day

play41:52

parting so that they can run all day all

play41:54

all night you know so you do you do need

play41:57

software for

play41:58

that okay so Fran is saying also thank

play42:01

you for all of the answers you are

play42:03

providing and so another question from

play42:05

Abdul uh does day parting affect uh

play42:08

organic

play42:09

ranks so the number one uh signal for

play42:12

organic ranking is conversion rate so if

play42:15

you improve your day parting uh results

play42:19

uh you know by improving your overall

play42:21

conversion rate which it will improve in

play42:23

this with this method because you you're

play42:25

not going to you you won't have the

play42:27

worst hours of the day when the

play42:28

conversion rate is poor impacting your

play42:32

uh overall day conversion rate and so

play42:34

that will in theory it should improve

play42:36

your organic ranking as well so that's

play42:38

actually a really good point that you

play42:40

mentioned Abdul uh because uh I hadn't

play42:44

added that to my slid so yeah that's a

play42:46

great point that the the added benefit

play42:48

of doing deting is that you improve your

play42:50

overall conversion rate which then

play42:52

improves your organic ranking MH okay

play42:56

thank you so um can you see any of this

play42:59

Trends or information before uh I launch

play43:02

a new product or somebody launches a new

play43:05

product no uh it is very specific to

play43:08

each product and um in fact you this is

play43:12

not something that's published or if you

play43:15

want just a general idea of like uh what

play43:19

the the trends are You' probably have to

play43:21

look at some of the um you know some of

play43:23

the bigger players in the market who

play43:25

published certain reports but I wouldn't

play43:27

trust that either you know I would I

play43:29

would use our own data to figure out how

play43:33

it can help us you know so your product

play43:35

might be um very different from anybody

play43:39

else's so I I wouldn't recommend going

play43:41

after like General Trends

play43:44

um but uh yeah 14 days of data is all

play43:48

you need actually to start seeing some

play43:49

information and then you just uh layer

play43:51

on that MH okay thank you so um

play43:56

can you share um some or or any mistake

play43:59

sellers make regarding uh this strategy

play44:02

but uh sellers could actually avoid if

play44:04

they know about it in

play44:07

advance yeah so yeah I think uh you know

play44:10

some of the examples I shared with um

play44:13

you know trying to do it uh you know

play44:15

trying to do um day parting by just

play44:18

using bid adjustments uh that could

play44:21

change the placement uh in which your

play44:24

your keywords are showing up so instead

play44:26

of showing up at the top of search where

play44:28

you want it to actually show up it might

play44:31

start showing up at the product pages or

play44:33

rest of search placements and that way

play44:35

it could end up being uh the opposite

play44:38

you know of what you wanted to achieve

play44:39

right instead of improving the

play44:40

performance you might end up uh you know

play44:43

worsening it so just be aware of like

play44:46

using those other strategies um and then

play44:49

I also shared about budgets if you if

play44:51

you're trying to use budgets as a way of

play44:54

controlling uh day parting again that

play44:56

could be off because Amazon doesn't

play44:58

really stick to their budget gaps they

play45:00

can actually go above they can actually

play45:03

double the budgets in real time uh

play45:06

because they have the leverage to do

play45:07

that uh there's a setting inside of your

play45:10

uh campaign uh manager if you go in

play45:13

there and look at the setting you can

play45:14

find out whether Amazon has the uh right

play45:18

to do 100% more of your budget or 25%

play45:21

more I would say set that to 25%

play45:24

regardless as soon as possible

play45:26

MH okay cool well thank you so much Ru

play45:30

for yeah for the presentation and also

play45:32

for answering uh all of the uh comments

play45:35

so uh again if you didn't like the video

play45:37

yet but really enjoyed what we were

play45:39

discussing today here about day partying

play45:41

then definitely like this video and also

play45:43

subscribe to our Orange Creek YouTube

play45:45

channel to see more videos and web

play45:47

webinars like this in the future and

play45:49

again um if you're watching us from

play45:52

Europe you're experienced Amazon Seller

play45:54

you have a chance to meet R to in person

play45:55

in March in brague Czech Republic so uh

play45:58

from the video description below you

play45:59

will also uh get the website of the

play46:01

event so you can learn more about how

play46:03

the event Works who are the speakers and

play46:06

how you could join us as well um and

play46:08

also if you're a US based seller and

play46:10

you're already selling on European

play46:11

market places or would like to expand to

play46:14

Europe uh anytime soon this event is a

play46:16

very good place where it to be because

play46:18

there will be around 200 200 people from

play46:20

40 different countries all across from

play46:22

Europe and there's like no better place

play46:25

uh to learn about expansion to Europe

play46:28

than this event so yeah R I'm very

play46:30

looking forward to see you in person as

play46:32

well and thanks again for to day and see

play46:34

you soon then thank you so much l see

play46:36

you soon take care bye

play46:39

guys and now I would like to invite you

play46:42

to watch a video I recently recorded

play46:44

about European conference where where

play46:46

I'm walking over how the event works why

play46:49

it's important to be there if you want

play46:51

to uh network with other Sellers and

play46:53

what's actually the real benefits of

play46:55

being being together with experiened

play46:57

sellers for a couple of days in a row so

play46:59

you could establish very important

play47:01

relationships which would help to scale

play47:03

your business beyond the first

play47:11

Millions

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Related Tags
Amazon AdvertisingDay Parting StrategyPPC OptimizationE-commerce GrowthConversion RateBudget ManagementPPC NinjaWebinar InsightsEuropean SellersMarketing Automation