Launching today
Adomate
Turn data into winning ads. At scale.
928 followers
Turn data into winning ads. At scale.
928 followers
With Adomate you create ads from data, at scale. Take data from your Meta ad account, the ad library and reviews from Trustpilot and Amazon. Build creative research workflows that create branded ad concepts, the way you want. Fully traceable to their original data trigger, no blackbox.
Fedica
Adomate
@hamza_afzal_butt Every interaction with newly created content is captured on the backend, so the system can learn from the feedback users provide, think of it like swiping left or right on Tinder. Users can also access the brand brain directly, which contains all the visual style elements of the brand.
Congrats on launching! We spend way too long digging through customer reviews to find angles for ads, so pulling Trustpilot and Amazon feedback into the same workspace as ad performance sounds really handy. How does it work for smaller brands that only have a handful of reviews and a modest ad account to learn from?
Adomate
@doganakbulut Hi Dogan, every brand needs to start somewhere! That's why we allow users to draw on proven ads from more established brands. On top of that, competitor reviews can also serve as a data source, think of it as leveraging the frustrations customers express about your competitors and positioning yourself as the better alternative.
Walkable
Love the product and the team. From my previous launch, I met with Ozan (he is in Adomate team) and he showed me the demo of the Adomate. The most interesting part they are generate creatives by learning from your competitors. I'm planning to use it for my e-commerce business. Hopefully, in near future I can use for my apps too :)
Adomate
@metehan_caliskan Thank you for your input. Initial focus is on DTC and Saas, but apps are definitely a field we further want to explore!
@s_logghe Love the transparency around the no black box approach. I'm curious how do you balance AI suggestions with preserving each brands unique voice especially when using competitor and review data?
Adomate
@vishnu_kant_07 Hi Vishnu, great question. For every brand, we create a "brand brain" that captures its specific tone of voice, visual style, and product features. Users can then choose how closely they want the generated ads to follow their own brand versus staying closer to the original.
Have you seen users discover any surprising creative angles from customer reviews that they probably wouldn't have tested otherwise?
Adomate
@ill_robyn Hi Ill, yes, definitely. We have a template that scans thousands of reviews to find "Golden Nuggets": phrases that use authentic consumer language and are funny, relatable, and genuine: true advertising gold.
I am thinkin this could help brands scale creative production without losing consistency. What reporting features help users understand which research sources influence successful ads the most?
Adomate
@darly_selbyHi Darly, typically a mix of sources performs best. Iterating on your proven winners is a solid strategy, but it doesn't bring much fresh thinking into your creative process. Consumer reviews and proven ads from other brands help increase creative diversity. And drawing inspiration from winning concepts in other industries has proven to be both highly effective and genuinely refreshing. We pull performance stats directly from the Meta ad Manager.
@s_logghe You mention agencies managing creative across multiple accounts as one of your target users. For those teams, is there hard isolation between client brand brains, so one client's reviews, competitor set, and performance data can never surface in another client's generated concepts?
Adomate
@clement_avq Yes, 100%. None of this information is shared across brands. What agencies can replicate is the workflow itself, the process of researching data and turning those insights into new creative concepts.