Radar grades your ads from the last 30 days and shows you which ones to scale and which to iterate on. The grading model is trained on over $12 billion of ad spend.
How Radar grades your ads
Each ad gets a letter grade for:
Hook: does it stop people scrolling?
Retention: do people keep watching?
Click-through rate: do people click?
Conversion: does it hit your goal?
Each ad also gets an overall grade.
For example, if an ad gets a B for hook and retention but a D for click-through and conversion, the click-through and conversion are what to work on.
Static ads are only graded on click-through and conversion, because hook and retention apply to video. Radar grades each ad separately, so a video running in two different ads gets two sets of grades.
The tabs
Winners: your strongest ads. Scale these.
High iteration potential: ads that are close to being winners, where one area such as the hook or conversion is holding them back. These are usually the best ones to work on next.
Iteration candidates: ads with good early signs but not enough spend yet to be sure.
Setting it up
The first time you open Radar, you set the benchmarks it grades against:
Timeframe: 30 days is a good starting point.
Conversion metric: ROAS, CPA, or a custom metric such as cost per trial (see Custom Metrics).
Your goal: the target for that metric, for example the most you want to pay per purchase.
Radar grades your existing ads and updates as you launch new ones. You'll find it under Analytics → Radar. It works with Meta and TikTok, and needs a connected ad account with ads and conversion data (see How to connect your ad account).
Getting a recommendation
Open an ad and click Scale under the recommendation. Radar writes a recommendation with new angles and hooks for the same audience.
For a video, it writes a brief. This takes a minute or two because it analyses every frame.
For a static, it takes you to generate new versions with the changes applied (see Generate image ads with Raya).
It also shows reference ads from the library with a format, hook or editing style worth trying. These won't always be from your industry.
When you're ready, you can launch the new ad straight to Meta (see How to launch ads). Your last few recommendations are saved in Radar.
You can also ask Raya about any ad in your own words, or set up an automation to send your winners and iteration ideas to Slack each week (see Automate your reports with Raya).
Credits
Grading is included. Recommendations use credits, and you'll see the cost when you hover before running one. See Understand and manage AI credits.
Radar is empty
Usually either your ad account is still syncing (check the "synced … ago" note at the top), or there are no winners in your timeframe yet. Wait for the sync or widen the timeframe. If it still looks wrong, see Radar not loading or crashing or message us.