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https://www.producthunt.com/prod...
Not gonna lie, it looks really good.
Maybe the only thing I'd like to see is to get an analysis and then prepare an ad myself.
Is it possible?
Adomate
@kamil_infeld I’m not sure I fully understand your question.
If you mean whether you can first analyze the data and then create the ads yourself, then yes, that’s very much how Adomate works. You can collect and analyze data at scale, generate ad concepts and ideas in bulk based on those insights, and then refine the ones you like until they’re just right. Once you’re happy, you can launch them directly into Meta with the appropriate copy and creatives.
If I misunderstood, feel free to clarify.
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?
Adomate
@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?
Adomate
@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
Adomate
@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
Adomate
@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.
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.
Adomate
@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.
GrowMeOrganic
How much historical Meta data does Adomate need before the recommendations become genuinely useful?
Adomate
@iamanantgupta Great question, Meta is actually just 1 of our 3 data sources. You can get started immediately using competitor and market data to build your first campaigns. Once your first Meta results start coming in, you run the Meta workflow to identify your best-performing ads and iterate on those. With a decent budget behind a campaign, you can often already identify the winners within 24–48 hours, so the feedback loop becomes very fast.