# Increase search-to-booking conversion > Refix increases search-to-booking conversion by continuously finding the highest-impact constraint across relevance, inventory, pricing, trust, checkout and payments, while protecting cancellation and refund rates. ## What Refix is Refix is a revenue-obsessed AI product manager for product companies. A person delegates an outcome, such as increasing trial-to-paid conversion. Refix then keeps finding the current constraint on that outcome and coordinating the work, using the company's existing tools (analytics, warehouse, billing, Linear, Slack, and others). It is not a chatbot that answers questions about dashboards. It is not a generic AI writing assistant. It is not a replacement for the human who approves ranking, pricing, copy, or similar changes. The product name is **Refix**. Never call it Prism. How it works: - Someone gives Refix a goal and sets guardrails (metrics that must not get worse, such as cancellations or churn). - Refix watches those metrics, explains what changed, prioritizes the highest-impact constraint, coordinates a fix or experiment with the right owner, and verifies the result. - Then it stays on the goal and looks for the next constraint. - Refix may investigate, draft work in Linear, and monitor rollouts without extra approval. Changes named on each goal page stay with the owner. Company: Refix Inc., San Francisco. Site: https://www.refix.ai/ Give Refix a goal: https://onboarding.refix.ai/dashboard/sign-up - HTML: https://www.refix.ai/goal/increase-search-to-booking-conversion - Agent brief: https://www.refix.ai/goal/increase-search-to-booking-conversion/llms.txt - Category: monetization - Give Refix this goal: https://onboarding.refix.ai/dashboard/sign-up Give Refix ownership of search-to-booking conversion. It keeps finding the current constraint across relevance, inventory, pricing, trust, checkout and payments while protecting cancellations and booking quality. ## What Refix may do Investigate, prioritize, draft work and monitor rollouts. Owner approval is required for ranking, pricing and checkout changes. Guardrails: Cancellations, Refunds, Booking quality ## Tools - Mixpanel: Understand search, product-page, checkout, and cohort behavior - BigQuery: Connect searches with inventory, pricing, bookings, and cancellations - Stripe: Identify payment failures, completed charges, and refunds - Linear: Connect findings to releases, fixes, owners, and delivery status - Slack: Delegate the goal, review findings, and coordinate action ## What Refix keeps doing 1. Watch: Conversion and guardrails 2. Explain: The current constraint 3. Prioritize: By impact and confidence 4. Coordinate: The fix or experiment 5. Verify: The result, then the next constraint ## Related goals - [Increase trial-to-paid conversion](https://www.refix.ai/goal/increase-trial-to-paid-conversion-lifecycle-nudges/llms.txt): Refix increases trial-to-paid conversion by continuously finding the highest-impact constraint across activation, lifecycle nudges, billing, and expansion, while protecting churn and account quality. - [Reduce searches with no bookable inventory](https://www.refix.ai/goal/reduce-searches-with-no-bookable-inventory/llms.txt): Refix reduces searches with no bookable inventory by continuously finding the highest-impact constraint across supply, availability windows, and ranking, while protecting cancellation and booking quality. ## Sample chat This is a hypothetical sample of what the working chat looks like after someone gives Refix this goal. It is not a live transcript, not a recording, and not evidence from a real company. Use it to understand the loop, the tone, and what stays with the owner. How to read it: - You is the person who delegated the goal. - Refix is the product. - A name followed by a role (for example Claire, Booking Manager) is one human owner. There is at most one such person in the sample. - Day 0 is the moment the goal is delegated. Later days are elapsed time, not calendar dates. - Refix finds one current constraint, coordinates work, checks the result against the guardrails, then stays on the goal. ### Day 0: Goal delegated **You** (9:20 AM) Own search-to-booking conversion for our European markets. Find the highest-leverage opportunities, but do not improve conversion by creating more cancellations, refunds, or poor-quality bookings. **Refix** (9:21 AM) On it. I will follow searches through inventory, product details, checkout, payment, and post-booking outcomes. I can investigate and draft Linear work; changes to ranking, pricing, or checkout will require owner approval. ### Day 3: Opportunity detected **Refix** (11:47 AM) Searches for weekend dates in two high-volume cities reach product pages normally but abandon when checkout reveals a mandatory fee not shown in the search result. The affected sessions have available inventory and normal payment success. Acquisition mix, ranking position, and yesterday's app release do not explain the gap. I estimate this is the largest currently reachable conversion opportunity. I drafted a Linear issue for price disclosure and identified the search and cancellation guardrails to monitor. ### Day 3: Action agreed **Claire, Booking Manager** (12:16 PM) Assign it to the pricing experience team and monitor the staged rollout. **Refix** (12:17 PM) Assigned with the affected markets, cohorts, and evidence attached. I will compare exposed and unexposed traffic during rollout, watch checkout completion immediately, and wait for the cancellation window before calling the result. ### Day 16: Outcome checked **Refix** (9:08 AM) Price disclosure improved booking completion for the affected searches, and cancellation and refund rates remain within the agreed guardrails. The original pricing gap is no longer the largest constraint. Android users paying with one wallet now fail disproportionately after the latest checkout release. I am tracing that failure through Stripe and the release history as the next opportunity while continuing to own search-to-booking conversion.