Balancing Ad & Organic Sales on Amazon

Junglr
15 Aug 202312:44

Summary

TLDRThe video script discusses a follow-up question from a newsletter on ad sales percentage and its implications for Amazon sellers. It clarifies the difference between business reports and ad data, highlighting the challenges of calculating ad sales on multi-variation listings. The speaker emphasizes the importance of ad sales percentage as a barometer for assessing ad campaign health and provides insights on optimizing ad spend based on sales dependency on ads. The summary also touches on the potential issue of cannibalization of organic sales by ads and the significance of organic ranking in product market fit.

Takeaways

  • πŸ“’ The speaker has a newsletter that is exclusive and not published elsewhere, with a link provided in the description to subscribe.
  • πŸ’Œ The speaker appreciates follow-up responses to the newsletter, which allows for deeper discussions on topics like ad campaign analysis.
  • πŸ” There's a distinction between data from business reports and ad data, which is important for understanding the nuances of ad performance and organic sales.
  • 🧩 Calculating ad sale percentage on a child item level in multivariation listings can be misleading due to differences in sales attribution between ads and business reports.
  • πŸ”‘ Sessions and clicks data do not align perfectly because sessions are counted per shopper within a 24-hour window, while clicks are counted per ad interaction.
  • πŸ“ˆ Ad sale percentage is a critical metric, calculated by dividing total ad sales by total sales, to gauge reliance on ads for driving sales.
  • 🚫 High ad sale percentages might indicate a product-market fit issue if not accompanied by strong organic rankings and visibility.
  • πŸ€” The speaker suggests rolling up ad sale percentages to the parent ASIN level to smooth out discrepancies and get a clearer picture of ad performance.
  • πŸ›’ A high ad sale percentage can affect decisions on ad spend adjustments, as significant decreases in ad spend could impact total sales volume.
  • πŸ“Š The ad sale percentage provides context for optimizing total A Cost metrics, helping to strategize incremental adjustments to ad spend.
  • πŸ’‘ The speaker discusses the potential for ad sales to cannibalize organic sales, suggesting that if organic visibility is high, testing a reduction in ad spend might be warranted.

Q & A

  • What is the purpose of calculating ad sale percentage in an Amazon ad campaign?

    -The ad sale percentage helps you understand how reliant your total sales are on ads. It’s calculated by dividing your ad sales by your total sales. This metric can be crucial in assessing whether your ad strategy is too aggressive, not aggressive enough, or balanced, and how this impacts the overall health of your campaigns.

  • Why might there be discrepancies between sessions reported in business reports and clicks in ad data?

    -Sessions and clicks may not line up because sessions are counted as a single shopper's activity within a 24-hour period, while clicks are counted every time a shopper clicks on an ad. This can result in multiple clicks being recorded for a single session, leading to discrepancies between the two metrics.

  • How can ad sale percentage be problematic when dealing with multi-variation listings?

    -Ad sale percentage can be misleading in multi-variation listings because sales and clicks might not align across variations. For instance, one variation might get all the ad clicks but no sales, leading to a high ad sale percentage, while another variation gets the actual sales. This can distort your understanding of which variation is truly driving sales.

  • What is the difference between how business reports and ad data attribute sales?

    -Business reports attribute sales to the specific product that was purchased, while ad data attributes sales to the last clicked ad, regardless of whether that exact product was purchased. This can lead to differences in how sales are reported between the two data sources, especially in multi-variation listings.

  • Why is it important to roll up ad data to the parent ASIN level in multi-variation listings?

    -Rolling up ad data to the parent ASIN level smooths out the discrepancies that can occur when analyzing individual child ASINs. It provides a more accurate picture of the overall performance of the listing, accounting for all variations rather than focusing on potentially misleading data from a single variation.

  • How can ad sale percentage inform decisions about ad spend optimization?

    -Ad sale percentage can guide decisions on whether to increase, decrease, or maintain ad spend. If a high percentage of sales comes from ads, reducing ad spend too quickly could significantly impact total sales. Conversely, if organic ranking is strong, there might be room to reduce ad spend without hurting sales.

  • What is meant by 'cannibalizing organic sales' in the context of Amazon ads?

    -Cannibalizing organic sales refers to a scenario where an ad is clicked even though the shopper would have made the purchase organically (without the ad). This can lead to ads being credited with sales that would have occurred anyway, inflating the ad's impact and potentially increasing costs unnecessarily.

  • What should you consider if you have a high ad sale percentage but low organic visibility?

    -If you have a high ad sale percentage and low organic visibility, it may indicate a product-market fit issue, meaning that your product struggles with organic ranking and relies heavily on ads for sales. In this case, focusing on improving organic ranking through SEO and other strategies might be necessary.

  • Why might lowering ad spend not always result in improved profitability?

    -Lowering ad spend might not improve profitability if a significant portion of your sales is driven by ads. Reducing ad spend without a strategic approach could lead to a sharp decline in total sales, negatively affecting overall profitability. It's essential to consider the ad sale percentage and how reliant your sales are on ads before making changes.

  • How can context help in interpreting ad sale percentage and making strategic decisions?

    -Context is key in interpreting ad sale percentage. For example, understanding your organic ranking and visibility alongside your ad sale percentage can help determine whether ads are truly necessary for driving sales or if they are merely supplementing organic sales. This broader understanding allows for more informed decisions about ad strategy and spend.

Outlines

00:00

πŸ“° Newsletter Follow-Up: Understanding Ad Sales Percentage

The speaker discusses a follow-up question received in response to a newsletter, emphasizing the importance of the newsletter as a unique content source. They delve into the complexities of calculating ad sales percentage on a child item level, especially in multivariation listings, and highlight the potential issues that can arise from discrepancies between business reports and ad data. The speaker clarifies the difference between sessions and clicks in the context of Amazon's ad model and the challenges in assessing the impact of ads on organic sales. The goal is to provide a broader understanding of how ad sale percentage can be used as a metric to evaluate the health and aggressiveness of ad campaigns.

05:02

πŸ” Deep Dive into Ad Sales Attribution and Multivariation Listings

This paragraph explores the nuances of ad sales attribution, particularly in the context of multivariation listings. The speaker explains how sales can be attributed to different variations of a product in ads versus the actual sales recorded in business reports, which can lead to skewed ad sale percentages. They discuss the 'last click' model of sales attribution and its implications for assessing the performance of different product variations in ads. The speaker suggests rolling up the data to the parent ASIN level to get a more accurate picture of ad performance and to avoid the pitfalls of analyzing at the child ASIN level. The paragraph also touches on the strategic use of ad sale percentage in identifying which product variations perform best in ads.

10:04

πŸ“‰ Utilizing Ad Sale Percentage for Strategic Ad Spend Management

The final paragraph focuses on the practical application of ad sale percentage as a tool for managing ad spend and sales strategy. The speaker illustrates how a high ad sale percentage can indicate a heavy reliance on ads for driving sales, which is crucial for understanding the impact of any changes to ad spend on overall sales volume. They provide an example of a brand that needed to lower its ad spend and total A Cos but had to do so strategically due to the high percentage of sales driven by ads. The paragraph concludes with a discussion on the potential for ad cannibalization of organic sales and the importance of organic ranking and visibility in the context of ad performance and profitability.

Mindmap

Keywords

πŸ’‘Ad Sale Percentage

Ad Sale Percentage refers to the proportion of total sales that are attributed to paid advertisements. In the video, this concept is central to understanding how reliant a business is on ads to drive sales. The speaker explains that a high ad sale percentage may indicate that a significant portion of sales is dependent on ads, which could be problematic if ad spending needs to be reduced for profitability.

πŸ’‘Multivariation Listing

A Multivariation Listing is an Amazon product listing that includes multiple variations of a product, such as different colors or sizes. The video highlights the complexities of calculating ad sale percentages at the child item level within such listings, where discrepancies can arise between ad sales and total sales attributions, potentially leading to misleading data.

πŸ’‘Sessions

Sessions refer to the number of individual shoppers who visit a product listing on Amazon within a 24-hour period. In the video, sessions are contrasted with clicks in ad data, where a session counts as one visit per shopper, while clicks can be multiple per session. This distinction is important for understanding discrepancies between business reports and ad performance data.

πŸ’‘Clicks

Clicks are the number of times shoppers click on an ad, leading them to a product listing. Unlike sessions, which count unique visitors, clicks can occur multiple times from the same shopper. The video discusses how this can create differences in data when analyzing ad performance, as clicks might not always correspond directly with sessions.

πŸ’‘Business Reports

Business Reports on Amazon provide detailed data on sales, sessions, and other metrics. In the video, the speaker contrasts data from business reports with ad data, explaining that business reports count sessions differently from ad clicks, leading to potential discrepancies when assessing the effectiveness of ad campaigns.

πŸ’‘Sales Attribution

Sales Attribution refers to how sales are credited to different marketing activities, such as ads. The video explains the concept of last-click attribution, where the last ad clicked by a shopper before making a purchase gets credited for the sale. This method can cause discrepancies, especially in multivariation listings, where the sale might be attributed to a different product variation than the one most engaged with through ads.

πŸ’‘Total ACoS

Total Advertising Cost of Sales (Total ACoS) is a metric that represents the percentage of total sales spent on advertising. In the video, Total ACoS is discussed in the context of overall profitability and ad spend optimization. The speaker advises using the ad sale percentage to contextualize and strategically adjust ad spend to manage Total ACoS effectively.

πŸ’‘Organic Sales

Organic Sales are sales that occur without the influence of paid advertisements, typically through organic search results or direct traffic. The video discusses the relationship between organic sales and ad sales, noting concerns about ad sales potentially 'cannibalizing' organic sales, where customers might click on ads even when they would have purchased the product organically.

πŸ’‘Traffic Source Performance

Traffic Source Performance refers to analyzing where traffic to a product listing is coming from, whether organic, direct, or through ads. The video mentions this concept in the context of determining if a business is being too aggressive or not aggressive enough with its ad spend, using ad sale percentage as a tool to assess the impact of ads on overall traffic and sales performance.

πŸ’‘Cannibalization

Cannibalization in the context of advertising refers to the situation where paid ads may be taking sales away from organic sources, rather than adding new sales. The video addresses this concern by discussing how a high ad sale percentage could indicate that ads are potentially cannibalizing organic sales, especially if the product already has strong organic rankings.

Highlights

The newsletter content is exclusive and not published elsewhere.

Ad sale percentage can provide crucial context when assessing the health of ad campaigns.

Business reports and ad data differences can impact the accuracy of traffic source analysis.

Understanding sessions and clicks: Sessions are unique shoppers within a 24-hour window, while clicks represent every time an ad is clicked.

The last-click model in ads can lead to discrepancies between sessions and clicks, affecting sales attribution.

Calculating ad sale percentage on a child item level in multi-variation listings can be problematic.

Rolling up ad sale data to the parent ASIN level can smooth out discrepancies and provide more accurate insights.

Ad sale percentage helps identify how reliant a product is on ads to drive sales.

Ad sale percentage is calculated by dividing total ad sales by total sales.

A high ad sale percentage could indicate a heavy reliance on ads, which may be an issue for profitability.

Contextualizing ad sale percentage with total ACoS can guide strategic decisions in ad spend reduction.

High ad sale percentage with high organic ranking may suggest potential cannibalization of organic sales.

A combination of high ad sale percentage and poor organic ranking could indicate a product-market fit issue.

The orange color variation in ads performed well, but the black variation had the highest sales in business reports.

Strategic optimization of ad spend is crucial when a brand is highly dependent on ads for sales.

Transcripts

play00:00

a video to this a follow-up question

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that I got in response to a newsletter

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that was sent out this uh today Tuesday

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uh so if you're unaware by the way we

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have a newsletter that goes out I don't

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publish this content anywhere else if

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you want to get on that list feel free

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to use the link down in the description

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um but I got this question by the way I

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love getting a follow-up responses to

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our newsletter it allows me to add

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contacts now in all honesty I could have

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just created a very short uh email

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response to this one however

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um I did want to give some context on

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different data points between the

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business reports as well as the ad data

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why calculating uh your organic or your

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ad sale percentage on a child item level

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if it's a multivariation listing could

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be problematic as well as some broader

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context as to how we use ad sale

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percentage as sort of a barometer when

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it comes to assessing the health of your

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ad campaigns being if you're being too

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aggressive or not aggressive enough

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because there's three numbers that we

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use sort of as barometers to really

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gauge the impact of the ads on the

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organic as well as just the total sales

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performance okay

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so first up I'm going to give some

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context on the data differences so

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essentially this question I uh one of

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the three points in this newsletter was

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like analyzing traffic Source

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performance and like determining if you

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are maybe being too not aggressive

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enough in your ads or if you're being

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too aggressive with your ads uh ad sell

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percentage can definitely add contacts

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to that and again I'm going to get that

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to that in the end when I talk about

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um how we use ad sale percentage in

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context because context is key here

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um but the question was uh some of the

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wording was kind of insinuated that we

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had figured out a way to assess

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um the actual traffic sources

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um meaning not only how much sales is

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coming from

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um organic versus total sales

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but

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um how much like the actual traffic is

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coming to so I did want to get into the

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differences in the data sources being

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the business reports and then the

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um your ad data and that's going to kind

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of flow into the next point on why

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calculating ad sale percentage on an

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individual child Asin and multivariation

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listings is going to kind of be

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problematic so when understanding

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sessions and understanding clicks please

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know that these two numbers are not

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going to line up specifically oftentimes

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people will go into their account and

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they will um sort of like assess or

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assess you know the number of clicks

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they're getting and they'll look at the

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sessions they're like this isn't

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possible given the total sales volume

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and all of these kind of things

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um and then they would be correct

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because sessions

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are calculated inside of the business

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reports as an individual Shopper within

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a 24-hour window meaning if one specific

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Shopper will navigate to the listing and

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visit your page more than once in a

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24-hour period that will only be counted

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as a single session where in um your

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Amazon ads or you're like in a cost per

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click model you're charged for every

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time a shopper clicks on an ad and it's

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possible for a shopper to click on more

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than one ad just depending on how things

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are going as far as the sales

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attribution

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um or the ads are calculated it's like a

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last click model being like the last ad

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that got the click is going to be the

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one that's attributing the sale to it

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however it could potentially be the same

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job we're clicking around a couple times

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and that is entirely possible

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um and so for that reason your sessions

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meaning the traffic

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um that is coming to your listing again

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one single person within a 24 hour

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period is counted as a session and your

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clicks are not going to line up that's

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just kind of the name of the game

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there's not really a really good way to

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assess this I'm currently trying to dig

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into some data points to see if it's

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even possible to assess but really

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there's no real honest way to assess it

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um that is going to be a hundred percent

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accurate okay

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now this flows into our second thing on

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how calculating ad sale percentage so if

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you're not aware ad sale I call AD sale

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percentage some people call like the

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ratio of ads to organic it's essentially

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taking your total sales subtracting your

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ad sales and then saying or not

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subtracting uh taking your total ad

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sales dividing it by your total sales

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and that brings you a percentage

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what percentage of my total sales are

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coming from my ads right and this could

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be very helpful because if you're highly

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dependent on ad sales to drive you know

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total sales for a product that could be

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an issue now

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um how that calculation Works comes down

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to the sales attribution differences for

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the ads versus your organic or your

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total sales so in your ads whatever

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product received the click sponsor

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products it could be

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um the same product within like say a

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listing and sponsored Brands

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um it says any products that are

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contained with on are sold underneath

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that brand name I have a whole video on

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um kind of like what's the true a cost

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of your sponsor brand ads which by the

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way if you have

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um licensed products that's going to be

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a really really important video for you

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to watch but I digress and so

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um we get kind of you can see how this

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potentially has discrepancies so if a

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sale is attributed to say one variation

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because it's in the ads and then when

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it's in the business reports a business

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report is not going to report a sale

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that didn't actually happen on a

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specific product so in that case what

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you can end up doing is have one product

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that's getting all the ad sale

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attributions and then the other product

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is getting all of the uh total sale

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attributions the business reports is the

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ones that's actually been purchased and

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where that can kind of create issues in

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multi-variation listings is say one of

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them is getting all of the ad sale

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attribution but zero of the total sales

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volume you're going to see a hundred

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percent add sale percentage on there so

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it's like oh my gosh 100 of my sales are

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coming from ads well essentially there's

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like no sales whatsoever so that could

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be kind of confusing

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um and then in other ways you would say

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like oh there's no ad sales on this

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product meaning this is not the one

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that's getting the click in the ads but

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but it's getting all of the sales inside

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of the business reports because that's

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the one that people are actually

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purchasing and so if you're doing it on

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this granular level when it comes again

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this is only multi-variation listings if

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you have a single product listing it's

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not going to matter

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um so what we will do to kind of

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mitigate this is we roll it up to the

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parent Nations we essentially look at

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all of the spend and all of the uh sales

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that are for a parent Asin and then we

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kind of can navigate it that way and

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that Smooths out the lumps pretty much

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you can get some you know really good

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numbers now this is not really I know

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there's some people who say like oh why

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would I not

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um you know like the attribution models

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are kind of weird I really don't have a

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problem with it

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because what I've seen uh in the past is

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even if we have a bestseller so uh the

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example I use all the time is that we

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had a multi-variation listing with a

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whole bunch of colors that we were

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advertising the orange one is the one

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that performed phenomenally in the ads

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it got the most clicks it got the most

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engagement

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um we're actually getting lower cost per

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clicks because the engagement was so

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high but then essentially everyone

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bought the black one and if you looked

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in the business reports it seems like

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the black one was the best performing

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variation when we swapped in the ads for

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the black one to be the advertised

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product it didn't perform as well so you

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will end up with times where

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um one of the like other color

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variations sort of acts like a funnel

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and in those cases it makes complete

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sense for Amazon to report the sales

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that way because it helps you identify

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what actually performs best in ads when

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it comes to like an ad analysis uh sort

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of thing you want to make sure that like

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you're actually looking at what's

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performing best and so it makes total

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sense it's just something that you

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should be aware of when it comes to

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optimizing

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um and calculating this ad sale

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attribution okay so that's my little

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Spiel on that now the very last thing I

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want to talk about is how you can

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actually use

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um this ad sale percentage number and

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what it tells us in context so as I said

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before ad sale percentage is simply your

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ad sales divided by your total sales

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again you can do this on an account

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level you can do this on a parent Asian

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level you can do this on a child

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variation level if you want I would

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still recommend doing it on a parent

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level in an account like overall account

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level

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um

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and so what this tells you is this tells

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you how Reliant you are on ads to drive

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sales and this can be highly important

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to contextualize things like your a

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cause as well as especially your total a

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cost metrics so we've had accounts

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before where

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um we might be like I was Consulting on

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some Brands where they were really

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looking to optimize

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um their total a cosmetrics they really

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needed to bring this number down and

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while looking at the a cost and the

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total a cost in isolation and then

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simply looking at the total sales volume

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and identifying like we need to bring

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this number down in essence all you can

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really do from an ads perspective if

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you're looking to lower total a cost

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numbers is going to be lowering your ad

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spent however using the ad sale

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percentage gives you context as to how

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quickly or how incrementally and slowly

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you should be lowering your ad spend so

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in this particular case the brain brand

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was very adamant that they needed to

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lower the ad spend but when looking at

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the ad sale percentage 75 to 80 percent

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of their total sales were driven through

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ads in this case if we significantly

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decrease the ad spend more likely than

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not we're going to have a significant

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decrease on the total sales volume as

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well now oftentimes for profitability we

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really still have to bring the total a

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cost down so I get it it's not that we

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have to just say oh well that's the way

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it is and there's nothing we can do

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about it you definitely need to start

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optimizing but again given the context

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of the ad sale percentage it's pretty

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obvious that we needed to be very very

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strategic with where how and when we

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were going to start bringing down the

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um total ad spend volume now

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there is some debate as to whether like

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a very high odd sale percentage is going

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to mean that you are as it's called

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cannibalizing your organic sales meaning

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um someone sees you organic and then

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sees your ad and then clicks the ad and

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then the ad is attributed to the sale

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where if you didn't have the ad on the

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page they still would have purchased

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there's not a really cut and dry answer

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to this the one other piece of context

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that you can look at is if I have a high

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ad sale percentage meaning a lot of my

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sales are attributed to my ads and I

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have a high total a cost number do I

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have good organic ranking so I have very

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high organic ranking and very high

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organic visibility then it might be

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worth testing bringing down my ad spend

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maybe again you still want to be

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strategic here but it could be that

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there's cannibalization happening

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however if you have a high total a cost

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number and you have a high add steel

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percentage number and you don't have a

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good organic ranking or good organic or

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visibility then it's most likely a

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product Market fit issue meaning you're

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struggling with rankings and that's why

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those numbers add sale percentage total

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a costs and consequently profitability

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aren't very good so

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um again really really think uh this

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commenter for following up with this

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question I hope this has given you a lot

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of context and as always if you want to

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be getting these uh exclusive

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newsletters and potentially having

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follow-up questions of your own uh feel

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free to check the description for the

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link to sign up for the newsletter

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