MEMBACA DATA IKLAN META, Facebok dan Instagram Ads

Summary

The video script discusses how to analyze data from completed or ongoing ads on Facebook. It explains selecting performance metrics, checking ad levels, and customizing data matrices. The speaker shares insights on ad objectives like leads, conversions, and interactions, and provides tips on optimizing ad performance and budget.

Takeaways

• 😀 The speaker, Indra, is sharing how to read data from ads that have run or finished.
• 🔍 There are several matrices available from Facebook to analyze ad performance, including traffic, sales, delivery, and more.
• 📈 The default matrix shows performance metrics like budget and reach.
• 📊 Detailed ad data can be accessed at the 'Ads' level, allowing users to see data from the start to the end of an ad campaign.
• 🗓️ The speaker demonstrates how to select a time range for data analysis, such as from March 11 to May 28.
• 💰 The speaker's ad campaign resulted in conversions, with a focus on interaction objectives like leads or conversions.
• 🎯 The speaker discusses the strategy of targeting the highest volume audience for their ads, which involves setting the highest bid format.
• 📈 The speaker's ad campaign had a total of 467 website visitors, with varying reach depending on the ad.
• 💳 The cost per successful action (e.g., a lead or conversion) is a key metric, with the speaker's campaign costing around 3000 per lead.
• 💬 The speaker also discusses custom matrices and how they can be adjusted to suit specific ad objectives, such as impressions, click-through rate (CTR), and cost per mille (CPM).
• 🌐 The speaker mentions the importance of targeting the right audience and location, as it can significantly impact ad performance and cost.

Q & A

What is the main topic discussed in the video?

The main topic discussed in the video is how to read data from an advertisement that has been running or has already ended.

Why is it important to analyze ad data?

Analyzing ad data is important to understand the performance of the ads, such as reach, engagement, and conversions, which can help in optimizing future campaigns.

What are the different matrices available for analyzing ad data on Facebook?

Different matrices available for analyzing ad data on Facebook include performance, traffic, sales, delivery, and financial settings.

What is the default matrix used for analyzing ad data?

The default matrix used for analyzing ad data is performance, which includes budget, reach, and other default metrics provided by Facebook.

How can you view detailed ad data at the Ads level?

To view detailed ad data at the Ads level, you can click on the specific ad and check the data from the beginning of the ad campaign to its end.

What is the significance of the 'conversions' metric in ad data?

The 'conversions' metric in ad data signifies the number of successful outcomes, such as leads or sales, that result from the ad campaign.

What does the 'impressions' metric represent in ad data?

The 'impressions' metric in ad data represents how often the ad is displayed to users, indicating the ad's visibility and reach.

How can you customize the matrix for ad data analysis?

You can customize the matrix for ad data analysis by clicking on the custom section and selecting specific metrics that are relevant to your campaign objectives.

What is the 'click-through rate' (CTR) and why is it important?

The 'click-through rate' (CTR) is the ratio of users who click on a specific link to the total number of users who view a page, ad, or email. It is important as it measures the effectiveness of an ad in driving traffic to a website.

How does the budget affect the reach and performance of an ad campaign?

The budget directly affects the reach and performance of an ad campaign. A higher budget allows the ad to be shown to a larger audience, potentially increasing impressions, clicks, and conversions.

What are some of the objectives that can be set for an ad campaign, and how do they affect the ad data?

Some objectives that can be set for an ad campaign include interactions (likes, shares, comments), leads (website visits or contact form submissions), and app installs. These objectives affect the ad data by focusing on different metrics, such as engagement rates for interactions or conversion rates for leads.