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.
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The traceability angle is what caught my eye here. Most ad tools spit out concepts with zero explanation, so seeing exactly which review line or competitor ad triggered a suggestion is the part creative teams will actually care about. Does the attribution work in reverse too, meaning can I start from one specific Trustpilot review and ask it to generate concepts from just that?
@adamkamaneh Yes, that’s possible. Every data point (review, competitor ad, etc.) can be used as a starting point for generating concepts from just that. We wanted marketers to stay in control, not hand everything over to a black box.
This looks useful. How do you check the ads before they go live and make sure they do not include anything misleading?
@liana_preston Hi Liana, all ads are reviewed and selected within the platform, nothing goes live without explicit human approval. We operate with a human-in-the-loop approach. The platform also allows users to edit designs directly if anything is off or needs correcting.
the traceability pitch is what sold me too, but I'm curious about the agency case specifically. if I'm running Adomate across multiple client accounts, is the review/competitor data and brand brain fully siloed per workspace, or is there any shared learning happening under the hood that could let one client's insights bleed into another client's concepts
@galdayan 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.
@s_logghe good, that's the answer I was hoping for. the workflow-not-the-data distinction is basically the whole value prop for agencies then - you're selling them a faster brain, not handing them someone else's homework.
the traceability and spend-data answers above cover picking winners, but what about the fatigue side - if the engine keeps spinning variants off the same proven winner, how do you stop Meta from showing near-identical creative to the same audience over and over. is pushing for stylistic variance built in, or is that still on the strategist to catch before it burns out an audience
@omri_ben_shoham1 A user will typically set up multiple workflows, some creating variants from their winners, others drawing on proven ads from other brands, or pulling in customer reviews. This variety of data sources alone already provides a meaningful level of creative diversity to combat ad fatigue. On top of that, we offer more than 25 built-in templates that are all visually distinct, making it easy for strategists to diversify their output. Strategists can also build their own templates directly in the platform.
Hi! Congrats on the launch!
It's a very interesting way to generate ads. I was wondering if there is an Ads Library integration available or not. Sometimes we would require Ad inspirations right? Wondering how you are thinking about that part of the workflow
@gsvprharsha Hi Prharsha, yes we directly integrate with the Meta ads library. It's one of 3 sources currently available in the platform, next to your own meta ad account and customer reviews from Trustpilot and Amazon.
@s_logghe That's cool! Will give it a try!
What I really like about it is that it brings data from top performing ads. Simplifies it for my product and learns from the Meta campaign performance. This is an analysis that could take hours for marketers.
@firat_berber Hi Firat. Exactly, and most marketers don't have hours to spend. That's why we have repeatable workflows and templates that let you do the setup once, and repeat forever.
Congrats on the launch! The customer review analysis caught my attention. Have users found insights there that they weren't already aware of?
@reda_roqai_chaoui Hi Reda, yes. One of our templates searches for "Golden Nuggets" by analyzing thousands of reviews. This surfaces a wealth of new insights and customer statements. It's not always a completely new insight per se, what makes it so valuable for advertising is the way customers naturally articulate the problem or solution in their own words.