Modeled18%
Warm list opt-in
180 conversions from 1000 visitors.
StageWarm list opt-in
SignalsVisitor activity to conversion activity
Analytics dashboard
Indie launch analytics and experiments
A launch analytics dashboard that summarizes funnel conversion, source attribution, and experiment results without publishing visitor-level data.
Funnel report
Step-level conversion metrics come from aggregate captured events
Conversion window
Modeled11.9%
Sales page to checkout
74 conversions from 620 visitors.
StageSales page to checkout
SignalsVisitor activity to conversion activity
Modeled68.9%
Checkout start to purchase
51 conversions from 74 visitors.
StageCheckout start to purchase
SignalsVisitor activity to conversion activity
Use these rates directionally until more traffic accumulates.
Event taxonomy
Analytics inputs resolve to stable public-safe event IDs
page viewPrivate fields excluded
Funnel page viewed
Count by route, step, variant, normalized UTM fields, and coarse referrer host after browser-side session idempotency plus server-side bot filtering.
Private data excluded7 fields
opt inPrivate fields excluded
Opt-in created
Count consenting opt-ins by form, segment, and lead magnet.
Private data excluded5 fields
checkout startPrivate fields excluded
Checkout started
Count checkout attempts by product, price, and checkout kind.
Private data excluded4 fields
purchasePrivate fields excluded
Purchase completed
Sum revenue and count paid checkouts from trusted webhook evidence.
Private data excluded5 fields
Source attribution
Source attribution stays aggregate-only
0aggregate source rows
Source window
Raw event rows, visitor keys, full referrers, and raw query strings stay excluded.
No source rows captured yetFuture page views with safe UTM or referrer evidence will appear here as aggregate counts.
Experiment model
Deterministic assignment can be audited before traffic writes exist
Experimentassignment_ready
Opt-in hero promise test
Hash experiment id plus a caller-provided anonymous assignment key, then map 0-49 to A and 50-99 to B.
VariantsOutcome-first promise 50% / Speed-first promise 50%
SafeguardsSample size
No automated winners
Bumpgrade can summarize assignment counts and decision evidence, but traffic routing waits for sample-size checks and owner confirmation.
Privacy and safety
Metrics are useful without exposing visitor-level data.
Aggregate reporting
Conversion and source views summarize patterns without publishing raw event rows.
No raw event feed
IP addresses, user agents, cookies, contact IDs, Stripe IDs, and raw event rows stay out of public data.
Experiment changes are protected
Visitor tracking and experiment decisions open only after privacy review, sample-size checks, retention limits, owner confirmation, and redacted audit evidence.