Observed Signal · Oct 12, 2026 · Other · Source: Toms Marketing Ideas · Impact: 1/5 · Sentiment: Positive
AI Text Box Loses to Simple Sign-Up Buttons in A/B Test
A newsletter article describes an A/B test by forms.app, a form builder with 4 million users. The test, shown to 25,000 new visitors, compared three homepage variants: an AI text box for describing a form, sign-up buttons (Google, Apple, email), and a single 'Create a form for free' button. The sign-up buttons converted at 15.15%, the 'Create a form' button at 9.60%, and the AI text box at only 5.74%. The AI box also performed worst on other metrics, with 84% of viewers clicking nothing. The author emphasizes that requiring users to think or type before value is a barrier, recommending moving such questions after signup, adding clickable example buttons, or asking for easily pasteable inputs like a URL. The article also mentions Microsoft Clarity as a tool for observing user behavior.
The article provides actionable insights on CRO for SaaS homepages, but it is a newsletter piece with limited new information for the AdTech industry.
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Key Takeaways & Evidence Grounding
- forms.app A/B test on 25,000 new visitors showed sign-up buttons converted at 15.15%, 'Create a form' button at 9.60%, and AI text box at 5.74%.
- The AI text box had the lowest engagement with 84% of viewers clicking nothing.
- The 'Create a form' button attracted fewer sign-ups but more active users (3.63% vs 3.23%) and more buyers (0.176% vs 0.102%).
- The article recommends avoiding asking users to describe needs before signup and suggests moving such questions after signup.
- forms.app now adds example buttons under its AI text box to reduce friction.
Connected Companies & Entities
2 Entities mapped“Gumloop is a sponsor offering AI agents for marketing automation.”
“Bolt is mentioned as an example of a platform that uses example buttons under its AI prompt.”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Email A/B Test 'Winners' Can Be Misleading
A MarTech contributor warns that declared winners from email A/B tests can be misleading because results are context-dependent. Short test windows, audience variability, shifting inbox context (timing, seasonality, competing messages) and reliance on a single primary metric (e.g., opens or clicks) can produce winners that hurt long-term commercial outcomes. The article gives an example where a higher click-through subject line drove less qualified traffic, lowering conversion rate, average order value and revenue per recipient. It recommends hypothesis-driven testing, multi-variable experiments, evaluating downstream metrics (revenue, AOV, repeat behavior), and building a body of learning rather than treating single-test winners as definitive truths. Published on MarTech (owned by Semrush) on 2026-05-06.
Prompt-Only Empty States Hurt AI Product Retention
Adi Leviim argues that modern AI products have replaced decades of empty-state UX design with a single centered prompt box and suggestion chips, which increases first-session drop-off. Drawing on A/B tests and anonymized analytics from a Chrome extension he co‑built, Leviim reports roughly 70% of new installs never return for a second session; versions that showed worked examples or pre-populated artifacts materially outperformed blank-prompt variants. The essay traces this failure to abandoned HCI principles (signifiers, recognition over recall, scaffolding) and recommends four properties for a deliberately designed AI empty state: show a worked example, offer a starting verb, expose model limits, and enable action before the first prompt. The author discloses commercial interest in extensions that fill AI UX gaps.
Five AI Blind Spots That Hurt Conversions
The article argues that generative AI improves writing speed and quality but misses core drivers of human decision-making. It lists five common AI mistakes—focusing on understanding not decisions, reducing words not cognitive load, offering choices instead of guidance, valuing persuasion over genuine trust, and optimizing individual assets rather than long-term memory—and contends that behavioral science, not better prompts, remains marketing’s biggest competitive advantage. The piece uses real-world examples (Booking.com, Amazon, Apple, Chewy, Patagonia) to illustrate behavioral principles like social proof, processing fluency, choice overload, the effort heuristic, and the peak-end rule. Published on 2026-08-10 on MarTech (owned by Semrush).
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