How long until new users complete their first transaction?
№ 043 · Time-to-first-transaction distribution
Definition
MetricElapsed time from signup to first completed transaction, distribution across new users
Unitdays (histogram); share converting by day 1, 7, 30
Histogram of days from signup to first order. Long tail means poor activation. Build by joining signup and first-order events, computing delta per buyer, bucketing. Mode tells you the natural activation window. Example: 38% buy within 7 days, 25% within 8-30 days, 22% never buy in first 90 days.
Benchmarks
| Bottom 30% | Median | Top 30% |
|---|---|---|
| a flat, long-tailed distribution where most first transactions happen after day 30, or a large never-transacting mass above approx 75% of signups in a transactional product | activation-rate proxy: median 25%, average 34% of signups reach the product's activation milestone (n=500+ products, all models); most users who will ever transact show intent early, mirroring the repeat-purchase finding that half of eventual repeaters act within 30 days | activation to first transaction above the 60th-percentile activation bar for the model; mass of the distribution inside the first session or first day for low-consideration categories |
cross-product activation survey 2022 plus DTC purchase-timing datasets 2024-2026; no marketplace-specific time-to-first-transaction distribution is published at large sample, so the card leans on activation benchmarks and early-action cadence data · Below 5 marketplace-specific sources; confidence low. Activation rate is a share, not a time distribution, so it proxies the never-transacting mass rather than the timing shape. High-consideration categories (travel, big-ticket services) legitimately have long distributions; benchmark the shape within category and definition of signup.
Category split omitted: No two independent Tier 1-2 sources publish time-to-first-transaction distributions by category.
When it looks bad
The histogram has a small day-0 spike, a long flat tail, and a dominant never bar; cohort over cohort the day-7 cumulative conversion line trends down while signups grow.
Only 9% of signups transact within 7 days, 14% within 30, 78% never; the previous quarter's cohort reached 13% within 7 days at identical signup volume.
What to do about it
- Define and instrument a setup-aha-habit activation sequence for the buyer side, then remove every step that is not predictive of first transaction; activation is the survey-confirmed highest-leverage lever and most flows carry dead steps.
- Collapse time-to-value in the first session: preference capture up front, a pre-filtered first results page, and a first-transaction incentive that expires within 7 days, matching the window where the convertible mass acts.
- Treat long tails as a liquidity signal before a marketing signal: cut the distribution by category and geography; where day-7 conversion lags, check fill rate and supply coverage there first, per the Point Nine framing.
- Run winback on the 8-30 day non-transactors with supply-drop and price-drop triggers tied to their browsed items, and measure the incremental share pulled out of the never bar.
Sources
- Lenny Rachitsky and Yuriy Timen activation benchmarks across 500+ products: average 34%, median 25%; 60th percentile treated as the good bar; activation named among the highest-leverage growth levers lennysnewsletter.com ↗
- BS&Co timing shape corroboration: among eventual repeaters, half act within 30 days of the prior order; early action concentrates outcomes bsandco.us ↗
- Eightx cross-vertical purchase-timing medians of 15-35 days between orders; distributions are front-loaded with long tails eightx.co ↗
- Point Nine Capital (Julia Morrongiello) time-to-fill is a first-class liquidity metric; long time-to-first-transaction on the demand side often reflects thin or mismatched supply, not user apathy medium.com ↗
- Kissmetrics decompose the path to first transaction by funnel stage to locate the delay: discovery, relevance, intent, completion kissmetrics.io ↗