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.
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.
Analytics and marketing agencies that publish recurring client metrics across dashboards, decks, email and messaging channels.
Agency analytics and client-service teams are identifiable buyers.
Versioned definitions and snapshots can scale across repeated agency delivery workflows.
The record does not prove which barrier recently changed.
A defined agency buyer, recurring cross-channel number drift and confirmed adjacent analytics products make the provenance workflow concrete.
The direct gap, buyer budget, source coverage, client onboarding cost, explanation quality and structural differentiation need validation.
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