Srednoff Yandex Direct Account Audit Pro

Yandex Direct Account Audit Pro

Review Yandex Direct exports with reconciled reporting, explicit economics and evidence-led priorities.

Campaign reports suggest waste, but incompatible totals, repeated goals, missing CRM coverage, and mixed Search/YAN delivery can make an apparently sensible optimization destroy useful demand.

Who This Is For

An in-house acquisition lead or agency analyst who must defend an account-level recommendation to the person responsible for sales and advertising 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

• scope_contract: allowed account/campaign IDs, owner, periods, timezone, currency, VAT, attribution, and exclusions
• evidence_ledger: source, timestamp, grain, filters, completeness, and unavailable-data status
• spend_bridge: account total, campaign total, named adjustments, residual, and agreed tolerance
• measurement_readiness: goal definition, event uniqueness, CRM coverage, sampling/lag limitations
• findings: ID, classification, affected scope, evidence references, impact basis, confidence, and counterevidence
• economics: owner inputs, formula, denominator, missing values, and largest-order/refund sensitivity
• decision_backlog: priority, fix/test/hold/no-change, owner, dependency, and validation window
• approval_packet: proposed exact-field diff, snapshot requirements, control, rollback, and separate approval status

How The Workflow Proceeds

1. Create an evidence ledger: source file, extraction time, date range, filters, grain, completeness, and the campaign allowlist. Refuse mixed-account rows rather than silently dropping them.
2. Normalize amounts with decimal arithmetic using each export's documented units. Record currency and VAT explicitly; preserve original amounts and never infer a missing tax rate.
3. Aggregate daily campaign spend independently and bridge it to account totals. Name rounding, adjustments, excluded campaigns, and any residual exceeding the owner's agreed reconciliation tolerance.
4. Build a measurement readiness map for each goal and campaign: counter coverage, attribution model, event uniqueness, CRM join coverage, conversion lag, and unavailable data. Do not convert missing rows into zero conversions.

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

Bring These Inputs

• An owner-approved account and campaign ID allowlist, campaign configuration export, and export timestamps; no credentials.
• Daily account and campaign performance exports with report definitions, row grain, all pages, timezone, currency, VAT treatment, discounts, and monetary units.
• Conversion dictionary specifying goal IDs, counted events versus unique leads versus paid orders, attribution model, reporting date basis, and observed conversion lag.
• Business-owner economics: acceptable acquisition cost or contribution target, refund treatment, margin basis, and operational capacity; UNKNOWN is allowed but blocks financial optimization.
• A comparable baseline period, campaign change history, and a statement of unavailable reports or counters.

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: 10/10; 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.