This article will walk you through how you can use ROI Hunter to complement your Conversions API (CAPI) setup by adding additional signals from Google Analytics and other sources.
Beyond that, we’ll go over several SKU-level and ad-level tactics that can be employed once these additional signals are connected, along with links to success stories and more in-depth information.
Automatic tracking is a sustainable method for connecting the revenue you received with the campaign/spend that brought it. It works on the individual ad level based on the ad’s URL parameters.
For step-by-step instructions about automatic tracking and about setting up manual tracking, check out this article in our help centre.
Import business data like margins, sell-through rate, and return rate into ROI Hunter. By combining these additional signals with the product-level performance data collected by ROI Hunter, it’s possible to run campaigns that automatically exclude unprofitable items, automatically exclude highly returned items, and more.
For step-by-step instructions connecting your business data, check out this article in our help section.
Now you can use Google intent data (impressions) to promote your product on Meta right when customers are looking for them.
We tried this strategy with Life Style Sports, showing customers the items with the top impressions from the past week per their Google Shopping account, and increased their return on ad spend (ROAS) on Facebook by a staggering 515%.
Learn more about Trending Products here.
Now you can use transaction data from your Google Analytics alongside your Meta ad spend data to avoid promoting products when they have a poor ROAS. This data is updated as performance changes, so as soon as the product return is worth the cost of promoting it, it automatically starts being placed again
We implemented this strategy for Kuntokauppa, creating a benchmark of products that were:
Products that didn’t match this filter were excluded from promotion, and their budget was moved behind the products that did fit. Their ROAS increased by 130% compared to business as usual campaigns.
Learn more about Poor Performers here.
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Learn more about Hidden Gems here.
Understand your performance better with everything in one place. Within ROI Hunter you can compare data from Google Analytics, Meta, and your own business sources side-by-side and make ad adjustments.
You can use the added signals to create custom automatic rules for your promotions. Set a rule to add budget to a campaign if it achieves a return on ad spend (ROAS) = > 4, and decrease the budget when ROAS is < 4.
Or set a rule to send notifications to your marketing team when a campaign drops beneath a certain ROAS, achieves a certain revenue, hits a certain CTR, etc. Design the rules that work best for your business.
Learn more about automatic rules here.
By adding additional signals from Google and other sources, you’re able to do more than just target your customers more accurately. You’re also able to explore new cross-channel use cases, like informing Meta campaigns with Google data, or using business data such as margin to exclude unprofitable products from promotion.
Beyond that, using a tool like ROI Hunter to add these signals enables you to compare your data sources on one screen, and even build and launch your campaigns from the same platform.
Check out our e-book to learn more about how you can optimise your revenue and profitability with ROI Hunter.