Is it stock, search, or checkout? Bicycle has the cause before you ask.
When site conversion drops on a category or listing page, Bicycle ranks the cause: a stocked-out hero SKU, a search relevance gap, or checkout friction. It recommends the fix to the right owner before the revenue leaks further.
A dashboard shows conversion dropped. A chatbot answers what you type. Bicycle has the ranked cause and the recommended fix before you open a ticket.
No credit card required
Ranked #1 by impact. Est. exposure $42k. It found you, before you opened a dashboard.
You own site conversion, yet the "why did the page move?" answer waits in someone else's queue.
Same number, two operating models. One sends you to a ticket and a dashboard. The other brings the answer, the why, and the next step to you.
One governed system, six capabilities behind every answer.
Six capabilities, set up once and run continuously. Business teams move faster, the data team keeps governance, everyone trusts the number. Pick one to go deeper.
Rapid activation on your stack
You wait for the analytics project to finish. You want a working operating view tied to the KPIs you own, not a blank dashboard canvas.
What Bicycle does
Skip the blank canvas. Relevant KPIs, starter alerts, and prompts are populated for your role.
Speak your language. The system arrives configured for your business, not the database schema.
Use it from day one. The starter agent is reviewable and live in days, not a six-month rollout.
In practice
Open your merchandising home on day one. Site conversion, add-to-cart, search exit, and stockouts are already monitored, ranked by impact.
Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.
Your part of the loop is three moves: know what changed, understand why, act on it.
Know what changed before the review, down to where it moved.
Understand why site conversion dropped before you ask.
Act on it, scoped and routed to the team that owns the fix.
Your morning brief starts with the first pass done.
Site conversion dropped on the Apparel category page on mobile ahead of a campaign. Bicycle has already checked where it moved, ranked the likely causes, attached the evidence, and kept the definition governed. You review the move, check the evidence, recommend the fix to inventory, search, or pricing, and reuse it on the next drop.
Different teams own different metrics. Bicycle keeps the investigation governed.
You own site conversion. Move to the retail teams around category margin, the recurring investigation, pipeline trust, app funnels, and revenue performance, all on the same loop.
See it on your numbers.
Start with one recurring metric you own: why site conversion or add-to-cart moved. Bicycle watches the governed KPI, ranks likely causes across stock, search, page, and checkout, and hands you a reviewable first pass, before the campaign.
No credit card required · analyst-reviewed · governed from day one