Agentic analytics · for digital & product analytics teams

Release, campaign, or device?
Bicycle has the ranked cause before you ask.

When checkout drops on one device, Bicycle ranks whether it's the campaign, the device, or a broken release, exactly where it moved.

Cursor multiplied what one engineer could do. Bicycle does the same for your analysts.

Start for free Explore your playbook

No credit card required

app.bicycle.ai checkout · use-case agentAgent live
Detect Explain Review
The operating model is breaking

The force multiplier for your product analysts.

Faster onboarding, fewer repeat investigations, and decisions backed by evidence, with your team governing every definition, answer, and action.

Without Bicycle With Bicycle
repeat
The same funnel questions come back to your queue every sprint
Checkout completion slips on a device, add-to-cart dips, a step leaks, and you re-cut the data, rebuild the drivers, and reassemble the evidence from zero.
reuse
You build each investigation once, then reuse it
Tune the driver tree once; Bicycle reruns it every time the funnel moves, with the evidence already attached.
sprawl
Every new device, channel, and release adds more to model
More funnel steps, more KPI definitions, more dashboards, more ad-hoc "why did this step leak?" asks landing on your queue.
one model
New funnels inherit one governed model
New devices, channels, and releases inherit approved KPIs, patterns, and cause paths instead of starting from a blank cut.
shadow
PM and marketing ops build shadow analytics while they wait
Side spreadsheets and ad-hoc queries on completion and funnel steps, with no lineage, no review, no shared definition.
self-serve
PM and marketing ops self-serve inside guardrails
They get answers with lineage on the funnel KPIs they own; you keep definitions, permissions, and actions governed.
blamed
You own the number but get blamed for the delay
Accountable for whether the completion number is right and for clearing the queue, at the same time.
both
Trusted answers, delivered faster than the asks arrive
The product-funnel queue moves faster than the questions come in, and every published answer is defensible.
The capabilities

One governed system, six capabilities behind every answer.

Set up once, run continuously. Each capability is reviewable and governed by your team, so the business self-serves on a number it can trust. Pick one to go deeper.

Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.

The playbookBuild · Tune · Govern

Your team builds the intelligence layer once. Bicycle runs it, tunes it, and lets you govern it as it scales.

Buildthe trusted foundation
→
Tunethe intelligence layer
→
Governself service and safe actions
Explore your playbook
A day in the lifeFirst pass by Bicycle · the call is yours
Retail investigation queue

The morning review starts with the first pass done.

Checkout completion dropped on iOS Safari and paid search. Bicycle has already checked the segments, ranked the likely causes, attached the evidence, and kept the definition governed. Your team reviews the answer, publishes the story, and tunes what should happen next time.

Checkout completion · iOS Safari · paid searchTop segment below baseline. Affected segment and evidence already assembled for analyst review.
8:42 AM-1.8ppreview queue
Retail investigation queue8:42 AM↓ -1.8ppreview queue
Queue · alerts needing review
HighCheckout completion droppediOS Safari · paid search2.3%-1.8pp vs baselineTop segmentiOS Safari · paid search$58Kat riskMarketing Opsowning team8:42 AM
MedAdd to cart rate downAll devices · Paid traffic5.6%-0.7pp vs baselineTop segmentPaid traffic · US$31Kat riskGrowth Marketingowning team8:15 AM
MedPayment success rate downAll devices · Credit cards92.1%-1.2pp vs baselineTop segmentCredit cards · US$44Kat riskPaymentsowning team7:02 AM
LowInventory in-stock droppedShoes · 3 warehouses94.3%-0.3pp vs baselineTop segmentShoes · West region$12Kat riskInventoryowning team6:55 AM
+ 4 alerts · 1 high · sorted by revenue at risk
SnoozeOpen investigation
Checkout completion · root cause analysisfirst pass by Bicycle↓ -1.8pp
Triaged to one segment · iOS Safari · paid search
2.3% conversion
baseline 4.1% · ▼1.8pp · returning users · high volume
1 of 6 segments affected · 5 within expected range
Likely driversranked · confidence
Paid-search low-intent creativeprimary67%
iOS payment-sheet tag misfiresecondary44%
Desktop funnelruled out
Recommended actionsscoped
Create a ticket on Jirascoped
Alert #retail-revenue on Slackscoped
A/B test creative & fix the tagpreview
scoped · previewed · reversible · logged
+ Detected 8:42 · first pass 8:43 · top segment iOS Safari · paid search
Adjust modelApprove & publish
Validate evidence · iOS Safari · paid search8:42 AM↓ -1.8ppreview more
Impact overview
2.3%
conversion rate · -1.8pp vs baseline 4.1%
1.24Maffected users
5.83Msessions
Top affected segments
1
iOS Safari · paid search · US
-1.8pp
2
iOS Safari · paid search · West
-1.2pp
3
iOS Safari · paid search · returning
-0.9pp
Evidence attached
Funnel trendPDP to purchase
Channel mixpaid vs organic
Creative performancepaid vs organic
Tag activitypayment-sheet @ 2:15 AM
Ruled out · not drivers
Price changesno overlap with window
Promo changeseligibility unchanged
Desktop funnelunchanged
New vs returningboth affected equally
Definition governed · Source read-only · sources fresh
+ Reviewed by analyst on duty · 8:51 AM
Send backConfirm evidence
Publish answer · checkout completion8:42 AM↓ -1.8pppublish
Your conclusion84% confidence
Checkout completion dropped for iOS Safari users on paid search, primarily driven by low-intent paid-search creative sending weaker traffic. An iOS payment-sheet tag misfire is a secondary contributor.
Recommended next steps
1A/B test the paid-search creative for iOS Safari.
2Escalate the payment-sheet tag fix to engineering.
3Monitor completion and set a creative-quality guardrail.
Attach & sharegoverned
Impact summary
Evidence bundle
Next steps
Share with
Ecom leadershipEcommerce OpsGrowth Marketing+2
+ Published to Slack · #retail-revenue · 8:54 AM
Save draftApprove & publish
Reused next time · operating memoryToday 7:28 AM↓ -1.6ppauto-applied
Similar situation detected: Checkout completion dropped · iOS Safari · paid search
Bicycle applied your approved playbook.
Detected pattern
Creative impact
→
Applied playbook
checkout completion
→
Likely driver
Low-intent creative
→
Recommended action
A/B test creative
Caught 74 min earlier · 7:28 AM vs 8:42 AM on the first run
No re-investigation · pattern auto-applied, analyst review optional
+ Memory: retail checkout-completion playbook · run 2
ReviewView playbook
The analyst move changes: less reassembling the investigation, more reviewing the first pass and tuning the loop.Build once · review the rest
More roles on Bicycle · same loopYour team's KPI · your screens

Different teams own different metrics. Bicycle keeps the investigation governed.

Move from this digital and product analytics view to the retail workflows around search conversion, category margin, pipeline trust, and revenue performance.

Retail
Digital & Product AnalyticsCheckout funnel: device, campaign, or a broken flow · you are here
Ecommerce Analysts & BI TeamsSearch conversion and the recurring investigation Analytics Engineering & BIMetric and pipeline trust: real movement vs artifact BI & Senior Data AnalystsRevenue and GMV cross-cut by region and category Category Managers & BuyersCategory margin and sell-through
Explore
Travel Payments
Vibe Analytics

Build your first governed investigation.

Start with one recurring question in your queue: why checkout conversion, payment success, or activation moved. Bicycle watches the governed KPI, checks likely causes across the warehouse, payments, app & web, and events, and hands your team a reviewable first pass.

What to bring
A recurring investigation: checkout conversion, payment success, search conversion, or activation rate.
An approved read-only path to the relevant sources: the warehouse, event streams, app & web, payments, or ad networks.
The KPI definition, default segments, and reviewers who decide what becomes trusted.
What we do
Configure the investigation path around your KPI, segments, and evidence rules.
Monitor device, OS, channel, region, and segment movement.
Prepare a first-pass cause analysis with evidence, ruled-out paths, and governed definitions.
Start for free Explore your playbook

No credit card required · analyst-reviewed · governed from day one

No credit card required Start for free