TUTORIAL

Exploring the Paid Ads View

Last Updated: 16.11.2023

Welcome to the Paid Ads View, a powerful tool designed for performance marketing specialists. This view offers you a deep understanding of your campaigns, Adgroups, and Ads' impact on the customer journey. It empowers you to compare different attribution settings and gain insights into the products your campaigns are selling.

This view comprises the following components:

Deep Dive Table

The Deep Dive Table is at the heart of this view, allowing you to customize and analyze your data. Here's what you can do:

Customize first and second column

The first column is the primary dimension. Modify it to analyze data based on Market, Channel, Campaign, Campaign ID, and more. By default, it's set to campaign, but you can change it at any time.. You can add an extra column using the secondary dimension. Adding it creates rows for all possible combinations between the primary and secondary dimensions, enabling in-depth analysis. By default its on platform but you can also customize it.

Drill Downs and Drill Ups

Dive deeper into your data by clicking on the arrow. For instance, if your primary dimension is a Google campaign, clicking the arrow will take you to associated Adgroups. Further clicks lead you to Ads. To move up a level, simply click on the breadcrumb trail.

Customize KPIs

Drag and drop your preferred Key Performance Indicators (KPIs), including unique ones like new orders and cost of acquisition, or standard metrics like sessions and conversion rate. You can also freeze important columns as "Sticky Columns."

Expand Table

Want a full-screen view of your data? Click the expand button for an immersive experience.

Filter Rows

Use filters to focus on specific campaigns or apply special filters like on platforms. Filters impact your table's totals, enabling customized analysis.

Bookmarking

The bookmarking icon allows you to freeze rows for easy comparison of multiple rows from the Deep Dive Table.

Attribution Comparison

This is the perfect addition to the Deep Dive Table. While the revenue in the Deep Dive Table depends on the attribution model you've selected as your preference, the Attribution Comparison feature allows you to compare different options across your favorite KPIs.

Lifetime Click & Impression

Have you ever wondered what the maximum impact your campaign can have when you don't consider any other channels? This attribution setting has no limit on cookie length. This means that if your campaign had a touchpoint 300 days ago and it converted yesterday, the campaign will receive full credit for the conversion. We understand that this may not be ideal for budget optimization since conversions should be distributed among all channels that have an impact. However, it is very useful for evaluating whether the campaign actually makes sense or not.

Use Case
If your Return on Ad Spend (ROAS) is below 1 under this attribution setting, it's likely that this campaign is not profitable. Unless you have a very high customer lifetime value or the campaign has a significant branding effect, we recommend optimizing your ad groups and ads to improve the ROAS.
First Click, Assisted Click, and Last Click

We understand that there are often doubts about the role of your campaigns in the customer journey. Do your upper-funnel campaigns generate the first touchpoints that ultimately lead to conversions, or are they more mid-funnel? With these three attribution options, you can compare and determine if your customer journeys lean more toward one end. It's important to note that one-touchpoint journeys are counted as both first and last click. Typically, assisted clicks have a significant share, especially in long customer journeys, where there's a higher likelihood of being in the middle rather than at the beginning or end.

Use Case
If you're unsure whether to stop a campaign with a poor ROAS, you can identify if this campaign is particularly effective in generating new customers in the first touchpoint attribution model. Creating the first touchpoint that leads to a new customer is valuable and should be considered when deciding whether to continue or not a campaign or ad.
AI Kickbite Attribution

We utilize behavioral signals such as the depth of the funnel, the quality of the touchpoint, and the total length of the customer journey to evaluate the importance of each touchpoint. We simulate the behavior of each customer in their buying stage: touch, tell, sell. The result is a reliable measurement of all your marketing channels that aligns with your shop's revenue. This is our recommended attribution model for your day-to-day optimization decisions. For more details, please review our article about attribution.

Maximizing Your ROI with AI Attribution Models in Kickbite
Understanding how Kickbite AIĀ Attribution works
Use Case
If your webshop's business model involves a significant split between new and returning customers, allocate your media budget to the acquisition channels with the lowest cost of acquisition. Apply the same strategy at the campaign, ad group, and ad levels. This way, your budget will be used most efficiently to acquire new customers at the lowest cost.
Click on the definitions icon to access more details about each attribution setting.

Trend Chart

The trend chart is responsive to the Deep Dive Table's totals. Choose your desired KPIs and display data on daily, weekly, or monthly levels based on your date picker selections.

Worksets

Customize your view and save it as a Workset, making it easy to access your favourite views quickly. For more details, please review our article about Worksets.

Boost Efficiency with Kickbite Worksets

Products Sold

Wonder if the Ads you create for a product result in actual purchases of that product? The Products view lets you verify this. Select a campaign, channel, or Ad from the Deep Dive Table to see which products are sold. You can switch between revenue and items sold and verify the percentage bought by new customers.

FAQs

Where does the revenue from channels and campaigns come from?

Your choice of AI attribution model impacts revenue-related KPIs in this view, including Revenue, Orders, ROAS, AOV, CPO, and CAC. The revenue you see in Kickbite is the result of our cookie-less tracking and machine learning attribution model. We do not use data from Google Analytics.

How are KPIs calculated on the dashboard? Is there a glossary?

For detailed explanations and definitions of KPIs, please refer to our Glossary.

Why are the costs on the Kickbite dashboard not completely accurate?

I am sure that we have all accounts connected and every ad group has the correct tracking template, why is Kickbite still reporting less costs for some campaigns?

Why is Facebook reporting more link clicks compared to Kickbite sessions?

Usually, there are 10-15% fewer sessions compared to link clicks. Some users may click on ads accidentally without visiting the website, or they may leave quickly without opening website pages. Additionally, some ads may lack a Deep Link to Website as a Destination, causing Facebook to charge for clicks on images and videos not tracked by Kickbite.

I do not see any Bing (Google) campaigns on the dashboard. What is the issue?

First, ensure that all accounts are connected. If they are, the issue may be incorrect tracking templates. Check the tracking template components, such as kb=ga_sb_{campaignid}_{adgroupid}. If a Google template (kb=ga..) is used for a Bing campaign (kb=bn..), Bing campaigns may appear as 'notset.' Tracking templates are implemented at the campaign level, so check for templates at lower levels, such as adgroups or ads.