Activation Decision RecordOperated by Reality Contact, LLC

Product analytics for a named decision

Make activation a reproducible product decision, not a dashboard label.

The free review reproduces one candidate for one mature cohort and exposes its query, exclusions, false positives, and limits. The paid system turns accepted lifecycle definitions into scheduled workflows and a weekly decision record.

Free activation-candidate backtestSee the paid continuation
Example result

Candidate 03 / account grain

matrix
  1. Eligible1,284 mature accountsInternal, imported, and short-window accounts are excluded by named rules.
  2. Activated312 reached setup stateThe accepted query and seven-day window are attached.
  3. Retained useDefined at day 60Later value is measured at account grain with a complete window.
  4. Contradictions41 false positives / 63 negative casesThe rows remain available for review before any intervention is chosen.
The example keeps eligible population, activation state, later retained use, and contradictions in one reviewable record.

Activity counts do not tell a product team what to change.

A dashboard can label signup, login, invitation, project creation, or feature use as activation without recording why that state matters. Different teams then quote different rates, account and user behavior are mixed, and a planning review cannot reproduce the number or identify the population behind it.

A useful lifecycle metric needs an eligible cohort, identity grain, event semantics, complete time windows, exclusions, later retained-use state, contrary cases, and the product decision the metric governs.

The free backtest provides one complete candidate record for review.

One familiar activation state is reproduced against authorized historical data. The record includes its source query, eligible cohort, early and later windows, activated and non-activated comparisons, false positives, negative cases, data gaps, and the decision it would have changed.

The paid implementation accepts the lifecycle definitions with the buyer, preserves query and version history, schedules cohort and exception workflows, and produces a weekly pack that keeps the result, underlying logic, open data issues, and bounded experiment queue together.

What comes back from the record

One activation state is reproduced for one cohort and compared with later retained use, with its source query, eligibility, windows, exclusions, false positives, data gaps, and affected product decision.

Turnaround: The backtest arrives within five business days after authorized data access, definitions, and the decision question are complete.

The system moves from definition to product review.

  1. Reproduce

    Current metrics are rebuilt with explicit identity, eligibility, event, time, exclusion, and query rules.

  2. Backtest

    Candidate early states are compared with later retained use across mature cohorts, including false positives and negative cases.

  3. Decide

    Accepted definitions feed scheduled workflows, a weekly exception-aware pack, and one bounded product experiment queue.

There is already a market for this work.

The links below show existing providers and public reports from people who have dealt with the same problem. A source supports only the statement printed beside it.

SourceAmplitude reports that its 2025 benchmark analyzed over 2,600 companies and found 69 percent of top day-seven performers were also top three-month performers.SourceMixpanel says its 2026 report covers over 22 billion user actions across eight industries, four regions, and one year.SourceAmplitude sells behavioral cohorts, account analytics, monitoring, alerts, and a Behavioral Cohorts API in paid plans.ProviderAmplitude: Amplitude lists a free plan with two million events per month, a Plus plan whose first two million monthly events are free, and custom event-based Growth pricing.ProviderMixpanel: Mixpanel lists a free plan for up to one million events per month, Growth starting at $0 with volume pricing, and an enterprise quote path.

Why the check is free

The backtest is free because Reality Contact, LLC is testing whether product teams will buy a decision system after seeing one metric reproduced with explicit logic and limits.

Free activation-candidate backtest

One activation state is reproduced for one cohort and compared with later retained use, with its source query, eligibility, windows, exclusions, false positives, data gaps, and affected product decision. The backtest arrives within five business days after authorized data access, definitions, and the decision question are complete.

Do not send private links or files through this form. If the service fits, a person will reply with a secure intake method and written deletion terms before you share private material.

Operated by Reality Contact, LLC. Prices are in United States dollars, and refund conditions are stated beside the paid implementation price. This is analytics implementation and document preparation, and it does not replace statistical, privacy, security, legal, data-governance, or product review required by the buyer. Backtests describe the authorized historical data and accepted definitions; observed association does not establish that causing an event will change later retention.

Answers for the questions around this decision

Questions before you send anything

What do I send?

Do not send private files, event exports, warehouse links, credentials, customer identifiers, or schemas through the public form. If the review fits, a person will provide a secure intake method and written deletion terms.

What comes back for free?

One activation state is reproduced for one cohort and compared with later retained use, with its source query, eligibility, windows, exclusions, false positives, data gaps, and affected product decision. The backtest arrives within five business days after authorized data access, definitions, and the decision question are complete.

Where does the service stop?

Reality Contact, LLC implements measurement records, but does not claim causality from correlations, choose product strategy, run experiments, contact users, replace the data platform, or promise retention changes. The buyer approves lifecycle definitions and exclusions, adopts the accepted queries for product review, investigates data exceptions, and chooses and runs the next activation experiment. This is analytics implementation and document preparation, and it does not replace statistical, privacy, security, legal, data-governance, or product review required by the buyer.

Does a predictive activation event establish causality?

No. A historical association can support prioritization, while causal claims require an intervention and analysis designed for that question.

Do you need our warehouse credentials in the public form?

No. Do not send private data, schemas, credentials, or links publicly. Reality Contact, LLC provides secure intake and written deletion terms after fit is confirmed.

Free activation-candidate backtest

One activation state is reproduced for one cohort and compared with later retained use, with its source query, eligibility, windows, exclusions, false positives, data gaps, and affected product decision. The backtest arrives within five business days after authorized data access, definitions, and the decision question are complete.

Do not send private links or files through this form. If the service fits, a person will reply with a secure intake method and written deletion terms before you share private material.

Operated by Reality Contact, LLC. Prices are in United States dollars, and refund conditions are stated beside the paid implementation price. This is analytics implementation and document preparation, and it does not replace statistical, privacy, security, legal, data-governance, or product review required by the buyer. Backtests describe the authorized historical data and accepted definitions; observed association does not establish that causing an event will change later retention.

Operated by Reality Contact, LLC.

The buyer approves every lifecycle definition, exclusion, query, product decision, and experiment, and the buyer owns privacy, governance, and product outcomes.

Refund conditions are stated beside the paid implementation price.

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