Find the search revenue leaks before they compound.
Bicycle watches revenue per search, price coverage, click yield, feed quality, bid revenue, and impression share across the routes, markets, and suppliers that matter. When a number moves, it explains the likely cause and recommends the next action to the team that can fix it.
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- 1Partner feed coverage dropped on the route's two largest suppliershigh
- 2Bid rate cut on this route at the last optimisation runcontributing
- 3Traffic mix shifted toward lower-intent queriescontributing
A dashboard shows the revenue per search drop. Bicycle finishes the investigation and recommends the fix.
Start with a single revenue KPI critical to your business.
Bicycle comes with metasearch industry intelligence already inside. Pick one Bicycle-recommended KPI and watch it run: the KPI it watches, the causes it checks, the action it recommends to the owner, and what it keeps.
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A dashboard shows the drop. It never finishes the investigation.
Revenue per search falls. The manual chase begins.
The dashboard shows the drop. The team still checks feed status, bid data, coverage reports, and click logs by hand, across five tools and four people.
- Partnerships checks supplier feed status manually
- Engineering checks feed ingestion logs
- Commercial checks bid rate reports
- Analytics pulls route and market cuts
- Teams argue over coverage vs bids vs traffic
Bicycle starts the investigation the moment revenue per search falls.
It detects the revenue gap, ranks the coverage and bid causes, tests feed and commercial factors in parallel, attaches the evidence, and routes the escalation to the supplier contact with the next step.
- Detect the movement, ranked by impact
- Test business and technical causes together
- Attach the evidence, rule out the rest
- Route the safe action to the owner
- Learn the accepted cause for next time
Trained on the KPIs, patterns, and root causes of travel.
Six capabilities, set up once and run continuously. Business teams move faster, analysts keep governance, everyone trusts the number. Pick one to go deeper.
Multi-factor cause analysis
"What caused this?" turns into a three-day Slack thread across data, product, ops, and engineering, and the answer still arrives without evidence.
What Bicycle does
Open the cause summary. Ranked business and technical causes. The likely driver is named, with confidence and impact.
See the evidence. Logs, deploys, pricing changes, supplier behavior, and search relevance, with the data attached.
Know what was ruled out. The negative findings close the debate before it starts.
What it looks like for your team
Each drop is broken down by provider-error type, route, and revenue-weighted impact, so commercial knows whether it is a carrier, channel, or regional issue.
Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.
Business teams need answers fast. Analysts ensure conclusions are trustworthy.
Same governed intelligence underneath. The travel agent for the teams who own the number, the controls for the team who owns the data.
See what changed, why, and what is safe to do.
The move finds you, ranked by revenue impact, with the cause and the next step attached. No dashboard hunt, no three-day ticket.
Govern the definitions, evidence, and safe actions.
Analysts review first-pass causes instead of rebuilding them. Leaders give the business self-service inside one governed boundary.
The agentic analytics layer on top of your stack.
Your stack stays the system of record. Bicycle turns travel signals into alerts, triage, stories, dashboards, chat, and governed actions on top of it. No rip-and-replace.
Frames the question, orchestrates the investigation, writes the story, recommends the next step. It reasons.
Detects movement, ranks drivers, computes confidence, forecasts. The numbers are calculated, not generated.
And the rest of what you run: supplier feeds · bid data · search logs · click streams · price index · Slack
Bicycle runs on top of your existing systems. The metasearch pack supplies the starting KPIs, causes, stories, and action paths.
Start with one KPI in your metasearch stack.
Bring one revenue-critical KPI, connect a trusted source, and watch Bicycle turn a prompt plus your data into a metasearch analytics agent. Zero to a working agent in about 15 minutes.
Grow into the full product when your team is ready.
Test ride Bicycle on a metasearch KPI.
Bring one search revenue or supplier metric that matters. We will show how Bicycle detects the move, explains the cause, and recommends the next step on top of the stack you already run.
No credit card required