Keep the H1 ('Apps and Software Integrations') for SEO purposes. Immediately below it, replace '1 - 22 of 9388 apps by most popular' with a two-line subheadline: 'Connect the tools your team already uses. Build automations that run while you sleep — no code required.' Move the '9,388 apps available' count to a smaller label below or within the search bar as a supporting detail, not the first thing users read.

Concreteness Effect — outcome-framed copy ('automations that run while you sleep') activates the motivational system rather than the classification system. BJ Fogg Behavior Model (B=MAP) — front-loading motivation before the user engages with the catalog increases the effort users are willing to invest in browsing.

Directional: Concreteness Effect research suggests 20-40% improvement in engagement when outcome framing replaces feature labeling. Magnitude depends on traffic composition (cold vs. warm). A/B test recommended.

Remove or relocate the 'Enterprise Grade' scrolling ticker from the hero. Replace it with a horizontal strip of 4-6 use-case routing buttons positioned below the search bar: 'Automate Marketing', 'Connect my CRM', 'Build HR workflows', 'Sync my data tools', 'Automate customer support', 'I'm a developer.' Each button pre-filters the catalog for the relevant use case. Keep Enterprise Grade content — but move it to the Enterprise landing page or a dedicated compliance section in the footer, not prime hero real estate.

Self-Referencing Effect — explicit use-case routing allows users to immediately signal which category they belong to, creating a self-sorting mechanism that makes the catalog personally relevant. Social Identity Theory (Tajfel & Turner) — removing the enterprise-only signal from the hero reduces counter-signaling for the SMB majority while preserving the information for the users who need it.

Directional: Self-Referencing Effect research suggests that personalized routing improves engagement depth. Removing enterprise counter-signals reduces identity friction for the PLG majority. Combined effect estimated at 10-20% improvement in browse-to-signup conversion for non-enterprise visitors, but requires A/B test to confirm.

For the top 50-100 most popular apps, add a second line below the current generic description that surfaces 1-2 popular automation use cases. Example transformation: Google Sheets — current: 'Create, edit, and share spreadsheets wherever you are...' → add: 'Popular: Auto-log form submissions → Sheets | Sync HubSpot contacts → Sheets.' This can be surfaced as a small secondary text line or on hover. Prioritize apps that pair most frequently in Zapier's activation data.

Narrative Transportation — users who can mentally simulate a specific automation scenario (seeing their own workflow reflected in an example) are more likely to click through and activate. Concreteness Effect — specific automation pairs ('form submissions → Sheets') are more motivating than generic platform descriptions. Social Proof (Cialdini) — 'Popular' framing signals that real users are already doing this.

Directional: Narrative Transportation and Concreteness Effect research both support that specific scenario examples improve click-through vs. generic descriptions. Magnitude in a catalog context estimated at 15-25% improvement in app card click-through for cards with use-case examples vs. generic descriptions. A/B test recommended.

Add a compact trust bar immediately below the search field — before the category tiles — showing 6-8 recognizable logos from the homepage trust set (e.g., Airbnb, Meta, Lowe's, Samsung, Mastercard, HP) with a single line: 'Trusted by 2M+ businesses worldwide.' Use small, grayscale logos to keep visual weight minimal. This mirrors the homepage treatment and ensures cold-traffic visitors to /apps receive the same social proof context.

Social Proof (Cialdini) — recognizable enterprise logos create legitimacy signal for all visitor types, not just enterprise buyers. Authority Principle — logos from Fortune 500 companies signal that the platform is enterprise-vetted, which reduces perceived risk for SMB buyers evaluating whether to invest time in setup.

Directional: Social Proof (Cialdini) research suggests 5-15% improvement in sign-up conversion when recognized brand logos are present near the conversion point. Magnitude depends on share of cold-traffic visits to /apps. A/B test recommended.

When a user selects a category filter (e.g., 'Marketing > Email Newsletters'), update the subheadline below the H1 from 'Apps by most popular' to 'Showing 1-22 of 47 Email Newsletter apps, by most popular.' Update the 'Load more' button label to 'Load more (25 remaining)' or 'Load 22 more apps.' This closes the Zeigarnik loop and gives users a completion signal when browsing filtered categories.

Zeigarnik Effect — users form an open cognitive loop when they begin browsing a filtered set without knowing how many items remain. Providing a count closes the loop and allows users to make a deliberate decision ('I'll see all 47' vs. 'I've seen enough'). Decision Fatigue (Baumeister) — knowing the scope of remaining options reduces the exhaustion of open-ended browsing.

Directional: Zeigarnik Effect research suggests that completion signals reduce open-loop anxiety and improve task completion rates. In a catalog context, result count display typically improves satisfaction and reduces premature exit from filtered browsing. Low confidence on magnitude — requires instrumented A/B test.