saascode
analytics, bi & data·run 172 · Jun 2026

Tallymark

A metric reconciliation and provenance layer for analytics agencies that versions definitions and publication context, resolves approved snapshots across channels, and explains number changes without inventing causality.

Genesis score5.77/10
Make Tallymark real.0/500
500 more votes and Tallymark is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
3Confirmed adjacent product categories
3Supplied related ideas
0Reviewed provenance-first agency products found
The case

Analytics and marketing agencies can lose client trust when a metric in a deck differs from a dashboard, email or message. The research confirms internal analytics workspaces, agency reporting services and semantic layers, but no reviewed agency-facing product centered on metric contracts, number snapshots and client-visible provenance. The market is not empty, and the claimed midrange pricing opportunity remains an observed market reference, not fixed product pricing.

Tallymark should separate source and owner, metric contract and version, client and account, permitted cohort, filters, time zone and calendar, attribution model, currency, source cutoff and freshness, query and transformation versions, number snapshot, reviewer approval, publication channel and artifact, delivery acknowledgment, later restatement, difference candidate, cited driver evidence, explanation approval and client correction. The same metric should match only when contract, source, cutoff and context match.

The product must not silently overwrite historical numbers, infer why a number moved from correlation, share data or benchmarks across clients without compatible definitions and permission, fabricate provenance, auto-send sensitive results or claim that deterministic calculation makes the source data or business interpretation correct.

Who pays — and why

Analytics and marketing agencies that publish recurring client metrics across dashboards, decks, email and messaging channels.

What it unlocks
A client metric contract with business definition, owner, source, dimensions, filters, exclusions, time zone, calendar, attribution model, currency, calculation, null and revision behavior, tests, version and effective dates
A number snapshot preserving client, metric version, source cutoff and freshness, query and transformation versions, parameters, value, unit, uncertainty, evidence, reviewer and approval
A publication registry linking each approved snapshot to channel, artifact, audience, generated time, expiry, delivery acknowledgment and access policy
A reconciliation workflow separating detected difference, expected contextual difference, source revision, definition change, error candidate, cited driver evidence, reviewer finding, approved explanation, restatement, client correction and outcome
How Genesis scored it
5.77across seven criteria
tension 6temporal 5blindspot 5buyer 7leverage 7convergence 5why-not 5
7
Buyer persona

Agency analytics and client-service teams are identifiable buyers.

7
Asymmetric leverage

Versioned definitions and snapshots can scale across repeated agency delivery workflows.

5
Why nobody did it

The record does not prove which barrier recently changed.

Why it scored well

A defined agency buyer, recurring cross-channel number drift and confirmed adjacent analytics products make the provenance workflow concrete.

What's holding it back

The direct gap, buyer budget, source coverage, client onboarding cost, explanation quality and structural differentiation need validation.

Signals detected3 sources crossed
SignalGenesis research

SignalGenesis research

SignalGenesis research

Direction brieftallymark.md
tallymark.md
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