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Adoption simulator

Simulate developer-GTM spend before you commit it.

A serious enterprise proposal needs a serious decision loop: forecast which motion should work, run it with tracking, verify actual developer usage, then reallocate budget toward the campaigns, credits, docs, partners, and account actions that produced retained adoption.

Start free company workspaceTalk to enterprise sales
Before
Forecast
p10/p50/p90, budget risk, assumptions
After
Proof
usage, retention, accounts, waste avoided
Decision
Reallocate
repeat, cut, change, or expand

Simulation loop

Do not wait until after the campaign to learn it was the wrong one

Enterprise buyers need a visible decision boundary: model the possible outcome before spend, then replace assumptions with source-labeled usage evidence after the program runs.

Forecast before spending

Model the ICP, channel, budget, perk or prize, tracking readiness, expected activation, retained builders, account opportunities, and risk range.

Run the measured motion

Use tracked docs, starter kits, perks, GitHub proof, product events, CSV/webhook/API imports, CRM context, and source-labeled campaign metadata.

Verify what happened

Separate directional forecast from observed usage, retained cohorts, qualified accounts, product friction, and follow-up actions.

Model boundary

Forecasts are directional until the buyer connects first-party usage, spend, CRM, and retention evidence. The output should show assumptions, confidence, sensitivity drivers, and missing instrumentation instead of pretending forecasted pipeline is guaranteed revenue.

Enterprise workspace

Already available in enterprise workspace and agents

This page explains the decision model. The working planner already lives inside the enterprise workspace where operators compare spend, inspect proof gaps, and let agents turn the scenario into action.

Use the live workspace for real decisions

AI Operators can reason over the scenario, while Campaign ROI ties the same assumptions to usage events, retained builders, account evidence, exports, and proof reports.

Open AI OperatorsOpen Campaign ROI

Value levers

What the ROI story measures

These are the levers that turn developer community activity into a contract-level business case.

Adoption

Activated developers

Measure who moved from awareness into real usage: docs starts, SDK/API activity, projects, retained sessions, and qualified proof.

Pipeline

Qualified accounts

Map developer intent to company domains and account fit so commercial teams can prioritize real buying committees, not anonymous traffic.

Finance

Campaign payback

Compare events, workshops, credits, content, and launch motions by retained usage and account outcomes.

Model

Free-to-enterprise ROI workflow

  1. 1

    Baseline

    Capture current developer traffic, activation rate, retained usage, spend, reporting labor, and account conversion.

  2. 2

    Simulation

    Compare possible motions before spend: launch, workshop, credits, partner program, challenge, content, or account follow-up.

  3. 3

    Verification

    Tie source, cohort, product usage, retention, and company account evidence to measurable pipeline and budget impact.

  4. 4

    Reallocation

    Repeat, cut, or change the next motion based on verified adoption evidence, not event attendance or vanity reach.

Finance inputs

Inputs needed for a credible model

Use these in the first sales call or procurement packet. The numbers should come from the buyer whenever possible.

  • Annual DevRel, community, events, content, and sponsorship spend.
  • Monthly active developers across docs, SDK, API, community, and product surfaces.
  • Baseline activation rate from first touch to first meaningful product action.
  • Retained usage rate after 30 days.
  • Activated developer to qualified account conversion rate.
  • Blended ACV, pipeline conversion rate, and sales cycle timing.
  • Cost of missed follow-up, duplicate programs, and campaigns without proof.
  • Required support, security, reporting, and integration scope.

Enterprise value model

Paid scope is reviewed with sales and should be tied to retained developer activation, qualified account discovery, campaign waste avoided, reporting automation, and support or integration needs. There is no self-checkout.

Discuss enterprise scope

Buyer baseline

Provided

current spend, activation, retention, and reporting inputs

Forecast

Modeled

assumptions, sensitivity, and p10/p50/p90 stay labeled

Program result

Observed

usage, retention, blockers, and account evidence after the motion

Next action

Recorded

repeat, repair, stop, expand, or route with an owner

What goes into the executive readout

The readout should connect adoption evidence to business outcomes: activated builders, account fit, retained usage, top blockers, campaign performance, next actions, and expected pipeline influence.

Adoption proof and source trail
Revenue actions by account
Product and docs friction
Campaign ROI and waste avoided
Benchmark and competitor context
Recommended next 30 days

Turn adoption proof into a finance-ready business case.

Start with the free company workspace. When private evidence and governed workflows justify paid access, sales reviews the scope and provisions it manually after agreement.

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