Srednoff Yandex Direct Attribution & Metrica Auditor

Yandex Direct Attribution & Metrica Auditor

Reconcile Yandex Direct and Metrica measurement before drawing performance or budget conclusions.

Clicks, visits, repeated goals, orders, and paid sales are compared as if they were identical; model changes, sampled reports, failed imports, and weak joins hide where the discrepancy actually begins.

Who This Is For

An analytics owner reconciling Direct, Metrica, offline conversions, and CRM outcomes before anyone changes acquisition spend.

What You Get

• A standalone, domain-specific agent workflow with decision rules and stop conditions.
• Evidence requirements, structured report guidance and missing-data handling.
• Synthetic worked examples and supporting reference material.
• Optional offline evidence-precheck source where the licensed delivery allows execution; not an automatic artifact scanner.

Expected Deliverables

• basis_matrix: source, scope, timezone, currency, VAT, attribution, date basis, sampling, and lag
• goal_dictionary: trigger, count basis, unique business entity, optimization use, and owner
• measurement_chain: clicks/visits/events/leads/orders/paid sales with non-equivalence notes
• join_ledger: keys, cardinality, matched/unmatched counts, duplicates, and privacy handling
• reconciliation_bridge: adjacent totals, supported explanations, residual, tolerance, and confidence
• repair_specification: defect, exact scope, owner, expected test evidence, approval boundary, and retest window

How The Workflow Proceeds

1. Register each dataset's grain, scope, collection time, available dimensions, sampling status, and inaccessible coverage. Keep campaign-native and UTM-defined scopes distinct until a mapping is evidenced.
2. Build a basis matrix and align timezone/day boundaries, money units, VAT, attribution model, and reporting date basis. Note current supported model substitutions and warnings rather than silently using obsolete labels.
3. Construct the measurement chain from Direct clicks to Metrica visits to goal events to unique leads/orders to paid sales. Do not assume one-to-one relationships between stages.
4. Compare explicit included campaign IDs or UTM values with the intended scope; test empty/unknown UTM buckets separately instead of using a broad not-equal exclusion.

The remaining workflow covers validation, failure recovery and an evidence-linked handoff.

Bring These Inputs

• Authorized Direct campaign/report exports and Metrica counter/report exports with exact scope IDs, filters, timestamps, and row grain.
• A goal dictionary: goal IDs, event trigger, counting basis, ecommerce/order relationship, business owner, and intended optimization use.
• Reporting contracts for timezone, currency, VAT, attribution models, interaction versus conversion date, and observed conversion/import lag.
• Sampling/completeness metadata, report limits, excluded segments, and the list of unavailable counters or datasets.
• Redacted offline import receipts and CRM/order status evidence if offline or paid-sale reconciliation is requested.

Scope And Compatibility

This is a workflow toolkit used by your connected AI agent, not a hosted service, installed API client, autonomous executor or security/compliance certification. You supply the model, authorized tools and project evidence. It does not provide access to advertising, analytics, billing or production accounts. No business outcome or token saving is guaranteed.

Agensi delivery is agent-only. Do not save or export the proprietary source. If local helper execution is unavailable, the agent follows the review workflow and marks the helper NOT_EXECUTED; no local-script execution is promised for this channel.

Validation Transparency

Packaged offline supplied-evidence checks: PASS. Retained synthetic text-response cases: 8/8; scope PASS_SCOPED. These tests are not real-client task trials or marketplace-runtime certification.

Commercial Use And Support

Use project-specific outputs in personal, business and client work under the included Commercial License 1.0. Historical MIT and third-party rights remain unchanged; mandatory marketplace terms prevail. No proprietary source redistribution is included. Publisher: Ivan Srednoff / Srednoff.Agency.

FAQ

Will it make changes automatically? No. Analysis does not authorize spending, publication, deployment or account mutations.

Are examples client results? No. Examples are explicitly synthetic DEMO DATA.

Does it require Srednoff OS? No. The workflow is standalone; external tools and subscriptions are not included.

Is the launch price a proven optimum? No. It is a scoped introductory price informed by comparable offers, not sales forecasts or fake discounts.