StoreMaven

Open the dashboard, pick a page, and start shaping what people see before they install. Begin by importing current performance for your Apple App Store and Google Play listings, then set a primary outcome—tap‑to‑install rate, first‑time open, or paid subscriber uplift. Run an in‑browser audit with the Chrome extension to capture what’s live today (icons, screenshots, video, copy, ratings) and who you’re competing against. Annotate known events—ad bursts, featuring, seasonality—so results aren’t misread. From there, build a testing roadmap: which elements to tackle first, which markets to include, and what hypotheses to prove. Convert that plan into a precise creative brief with specs, aspect ratios, character limits, and references drawn from current category trends. Share it with design or slot it into your content workflow.

Build experiments without touching code. Use the visual editor to swap an icon, reorder screenshots, test new captions, or update promotional text. Run A/B or multivariate sets, set traffic splits, and add guardrails so a weak variant doesn’t take too much volume. Create distinct experiences for people arriving from Search versus those browsing categories, and segment by country, device, language, or cohort. Schedule start/stop times, let the platform estimate sample size, and auto‑stop when statistical significance is reached. Layer in quick polls to capture the “why,” or a lightweight form to collect beta signups. Review heatmaps to see attention patterns across the gallery. Funnel breakdowns show where interest drops—from impression to page view to install—so you know whether to refine messaging, creative, or targeting.

Before launch, pressure‑test your concept. Spin up simulated store pages to compare names, value props, and visual directions while development is still underway. Validate which promise resonates, what style earns the tap, and which first screenshot drives the most scrolls. Route winners into an exportable brief for Figma or your ticketing system, attach learnings, and assign owners. Target early trials to priority locales, keep holdouts to gauge true lift, and roll out in waves while monitoring deltas in real time. You can mirror traffic sources (Search, Browse, ad referrals) to ensure the variant that wins in testing also wins in the wild.

After release, keep momentum. Track competitor listing changes with the extension, tag shifts in their icons or video hooks, and trigger responsive tests as soon as they move. Localize with intent: detect markets with weak engagement, adapt creative order and copy per locale, and preview each catalog as global users will see it. Maintain an organic growth plan by reviewing query‑level performance, understanding how browse exposure differs from search intent, and prioritizing backlog items tied to measurable lift. Weekly summaries and CSV exports make it easy to update stakeholders or send data to BI. Every experiment stores its hypothesis, outcome, and impact, so marketers, designers, and product managers can reuse what works and skip what doesn’t.