Data-driven marketing tools
Let the data decide for you.
Data-driven marketing — give your AI a superpower.
AI can write the copy in seconds, but it can't tell you what's actually true about your market. SemmelTech turns public market and ad data into the evidence that tells your AI-assisted campaigns what to do next — before you spend the budget, not after.
Our philosophy
We think most marketing software oversells what AI can promise and undersells what data can prove. Every claim on this site traces back to a published study, not a stat we invented to sound impressive. If a number can't be checked, it doesn't go on the page — and the same rule applies to every tool we build.
Generic content doesn't just blend in — it underperforms. When Italy temporarily banned ChatGPT in 2023, small businesses' social posts got measurably more distinct, and averaged about 3.5% more likes, even though they were shorter and posted less often. Sameness isn't a cosmetic problem. It's an engagement problem, and it's the one most AI tools won't tell you you're creating.
Repeat exposure kills ad performance
Relative click-through likelihood by number of times someone has seen the same ad.
Times the same person has seen the ad
Modeled from Meta's published decay formula, click likelihood ∝ (exposures + 1)−0.43, indexed to first view = 100%. Source: Analytics at Meta, “Creative Fatigue”.
Generative AI makes competitors' content converge
How much more similar small businesses' marketing content became once ChatGPT access returned, by dimension.
Similarity to competitors' content, by dimension
From a 2025 natural experiment during Italy's nationwide ChatGPT ban. Source: Liu, Wang & Yang, “Generative AI and Content Homogenization,” SSRN working paper.
85% of marketers now use AI writing tools in their content process, per a CoSchedule survey of 1,005 marketing professionals — so the convergence in the charts above isn't a fringe risk, it's the default outcome of how most teams already work. That's the gap SemmelTech's flagship diagnostic closes: a convergence score showing how similar your ad creative is to what's currently running in your category, pulled from public ad transparency libraries, before you spend budget finding out the hard way.
Who this is for
We're for teams that want to understand their market before they act — teams that believe marketing decisions should start with evidence:
- Understand what the market actually responds to
- Know what's already being done — and where the gaps are
- Use data to guide what gets created, tested, and invested in
- Understand why performance changes, rather than just watching the numbers
- Turn what you learn into better decisions over time
We're not for teams whose goal is simply to produce more content. If your strategy is to publish at scale, chase trends, and hope something sticks, we're probably not for you.
For people who check
The charts above link to the paper behind them. We write for marketers who'd go verify a claim themselves.
Public data, not guesswork
Convergence scores come from public ad transparency libraries — not an internal model's opinion of what “good” creative looks like.
Built one tool at a time
Shipped when it's ready, not padded with a roadmap.