Done-for-you offer · Fractional CMO with AI Swarm · drivers 4-skill bundle · drivers agent
Drivers analysis for DTC ecommerce, subscription- commerce, marketplace, multi-location retail, multi- unit franchise, multi-location service brand, multi- location healthcare, and PE-sponsored portfolio operators — Decompose + Hypothesize + Test + Attest 4-skill bundle on the drivers agent, under a 5-anchor compliance overlay anchored on FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per- vertical + per-state attorney comparative-advertising when drivers drive operator-facing claims, SOX + ASC 606 + Pfizer + Asher + Caremark + Stone v Ritter + Marchand v Barnhill when drivers drive reported metrics, CCPA + GDPR + state-comprehensive-privacy, Upjohn + Hickman + ABA Model Rules + SOX 307 + privilege-class tagging, and NIST AI RMF + EU AI Act Article 50 + per-vendor LLM zero-retention
You explain causally why target metrics moved (revenue, conversion rate, AOV, LTV, CAC, retention, churn) across per-channel + per-segment + per-cohort + per-SKU + per- period decompositions. SOX 404 + Section 302 + Section 906 attestation + ASC 606 + ASC 605 revenue-recognition + Pfizer In re Apple Computer Securities + Asher v Baxter International forward-looking-statements safe- harbor + materially-misleading + Section 10(b) + Rule 10b-5 + Section 17(a) + In re Caremark (Del Ch 1996) + Stone v Ritter (Del 2006) + Marchand v Barnhill (Del 2019) GP-fiduciary apply when drivers drive reported metrics, board decks, LP letters, earnings, or public filings. FTC Section 5 + FTC Endorsement Guides + FTC Fake Review Rule (effective October 2024) + Lanham Act + per-state UDAP + per-vertical product-claim regulator (FDA OPDP + DEA + DISCUS + cannabis + FDA CTP + FTC Health Products + state insurance + state real-estate + state medical-board) + per-state attorney comparative- advertising (ABA Model Rule 7.1-7.5) apply when drivers drive operator-facing claims. CCPA Section 1798.140(ae) + CPRA Sensitive Personal Information Section 1798.121 + Washington MHMDA + Colorado CPA Sensitive + Connecticut CTDPA + Texas TDPSA + Oregon OCPA + state-comprehensive- privacy + GDPR + UK GDPR + EU DSA + COPPA + AADC + cookie consent apply. Attorney-client privilege under Upjohn v United States (449 U.S. 383, 1981) + Hickman v Taylor (329 U.S. 495, 1947) + Federal Rule of Civil Procedure 26(b)(3) + ABA Model Rules 1.6 + 1.13 + 2.1 + 4.1 + SOX Section 307 attorney-reporting is preserved via privilege-class tagging + segregated privilege- protected counsel records when drivers analysis touches potential litigation or regulatory inquiry. NIST AI RMF + ISO 42001 + EU AI Act (Regulation 2024/1689) Article 13 + Article 14 + Article 26 + Article 50 + per-vendor LLM zero-retention apply when AI-drafted. The warehouse, BI, experimentation, causal-inference, and LLM vendors below ship strong primitives. The orchestration above them is operator-side architecture. You keep all subscriptions, posture libraries, registers, privilege records, and audit trail. You keep the ability to in- house at any time.
Published September 29, 2026
The real ecosystem this sits above
Warehouse + BI + decomposition methods
Warehouse: Snowflake, BigQuery, Databricks, Redshift. BI: Looker, Tableau, Power BI, Mode, Hex, Sigma, Lightdash. Each ships strong primitives. Decomposition methods (variance decomposition + Shapley + Kruskal/ Lindeman + dominance analysis + tree-based contribution) + operator-counsel-approved decomposition-method register above them is operator-side architecture.
Experimentation + causal-inference + LLM
Experimentation: Optimizely, VWO, Statsig, Eppo, Split, GrowthBook, Convert, AB Tasty. Causal-inference: CausalNex, DoWhy, EconML, CausalImpact, Microsoft FLAML, PyMC. LLM: OpenAI Enterprise, Anthropic, Google Vertex, Azure OpenAI, AWS Bedrock zero-retention. Each ships strong primitives. SOX 404 + ASC 606 reconciliation + forward-looking-statements cautionary-statement-pack + Caremark + Stone v Ritter + Marchand v Barnhill GP- fiduciary + EU AI Act Article 50 marking + per-vendor LLM zero-retention above them is operator-side architecture.
Policy-as-code + WORM + legal research
Policy-as-code: OPA Rego, AWS Cedar, Casbin, Cerbos, Oso. WORM: AWS S3 Object Lock, GCS retention, Azure Blob immutable, Snowflake Time Travel. Legal: Westlaw, Lexis+, Bloomberg Law, Practical Law. Each ships strong primitives. The 5-anchor compliance gate is operator-side architecture.
Frequently asked
What does drivers analysis deliver, and how does the 4-skill bundle decompose?
An orchestration layer above the operator warehouse + BI + experimentation + causal-inference + LLM + policy-as-code + WORM-storage stack that delivers causal explanations for metric movements (revenue, conversion rate, AOV, LTV, CAC, retention, churn) under operator-counsel-and-finance-team-and-AI-governance-team-approved FTC + Endorsement Guides + Lanham + per-state UDAP + per-vertical + per-state attorney comparative + SOX + ASC 606 + Pfizer + Asher + Caremark + Stone v Ritter + Marchand v Barnhill + CCPA + GDPR + Upjohn + Hickman + ABA Model Rules + SOX 307 + privilege-class tagging + NIST AI RMF + EU AI Act Article 50 + per-vendor LLM zero-retention gates. Skill 1 — Decompose: decompose target metric movement (revenue + conversion rate + AOV + LTV + CAC + retention + churn) into per-channel + per-segment + per-cohort + per-SKU + per-period contributions through operator warehouse (Snowflake + BigQuery + Databricks + Redshift — operator chooses) + BI (Looker + Tableau + Power BI + Mode + Hex + Sigma + Lightdash — operator chooses). Decomposition methods include variance decomposition + Shapley contribution + Kruskal/Lindeman + dominance analysis + tree-based contribution. Skill 2 — Hypothesize: hypothesize causal drivers per decomposition through operator LLM (OpenAI Enterprise + Anthropic + Google Vertex + Azure OpenAI + AWS Bedrock — operator chooses) under per-vendor LLM zero-retention. Hypothesis classes include marketing-mix shifts + creative-fatigue + macroeconomic + competitor-action + product-mix + seasonality + algorithm-change (per-platform Meta + Google + TikTok + LinkedIn ranking + per-platform algorithm-change posts). Hypothesize references operator-counsel-and-marketing-team-approved hypothesis template + cautionary-statement-pack when forward-looking-statements may attach. Skill 3 — Test: test causal hypotheses through operator experimentation (Optimizely + VWO + Statsig + Eppo + Split + GrowthBook + Convert + AB Tasty — operator chooses) + causal-inference (CausalNex + DoWhy + EconML + CausalImpact + Microsoft FLAML + PyMC — operator chooses). Test methods include A/B + multivariate + geo-experiment + difference-in-differences + synthetic control + interrupted time series + instrumental variables + propensity score + matching + regression discontinuity. Test enforces operator-counsel-and-finance-team-approved SOX 404 + Section 302 + Section 906 attestation when drivers analysis drives reported metrics + ASC 606 + ASC 605 revenue-recognition + forward-looking-statements safe-harbor under Pfizer In re Apple Computer Securities + Asher v Baxter International + Section 10(b) + Rule 10b-5 + Section 17(a) when drivers analysis drives operator-facing forecasts. Skill 4 — Attest: emit per-driver per-test per-period attestation (decomposition method + hypothesis class + test method + test power + p-value + confidence interval + effect size + counterfactual evidence + SOX 404 + ASC 606 alignment when revenue-reported + forward-looking-statements safe-harbor + cautionary-statement-pack + FTC + Endorsement Guides + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture when drivers drive operator-facing claims + privilege-class tag + EU AI Act Article 50 marking when AI-drafted + per-vendor LLM zero-retention + counsel-policy-version) to the operator WORM audit trail.
Where does single-vendor BI or causal-inference tooling stop compounding for drivers analysis at DTC ecommerce scale?
Single-vendor BI is solved. Looker + Tableau + Power BI + Mode + Hex + Sigma + Lightdash ship strong managed BI. Snowflake + BigQuery + Databricks + Redshift ship strong warehouse. Optimizely + VWO + Statsig + Eppo + Split + GrowthBook + Convert + AB Tasty ship strong experimentation. CausalNex + DoWhy + EconML + CausalImpact + Microsoft FLAML + PyMC ship strong causal-inference primitives. The compound case the drivers agent has to handle is the one where (a) operator runs DTC ecommerce + subscription-commerce + marketplace × N target metrics (revenue + conversion + AOV + LTV + CAC + retention + churn) × per-channel + per-segment + per-cohort + per-SKU + per-period decomposition × per-driver hypothesis × per-test cadence, (b) SOX 404 + Section 302 + Section 906 attestation when drivers analysis drives reported metrics + ASC 606 + ASC 605 revenue-recognition + Pfizer In re Apple Computer Securities + Asher v Baxter International forward-looking-statements safe-harbor + materially-misleading + Section 10(b) + Rule 10b-5 + Section 17(a) + In re Caremark (Del Ch 1996) + Stone v Ritter (Del 2006) + Marchand v Barnhill (Del 2019) GP-fiduciary apply when drivers analysis drives reported metrics + board decks + LP letters + earnings + public filings, (c) FTC Section 5 + FTC Endorsement Guides (updated 2023) + FTC Fake Review Rule (effective October 2024) + Lanham Act + per-state UDAP + per-vertical product-claim regulator (FDA OPDP + DEA + DISCUS + cannabis + FDA CTP + FTC Health Products + state insurance + state real-estate + state medical-board) + per-state attorney comparative-advertising (ABA Model Rule 7.1-7.5) apply when drivers analysis drives operator-facing claims, (d) CCPA Section 1798.140(ae) + CPRA Sensitive Personal Information Section 1798.121 + Washington MHMDA + Colorado CPA Sensitive + Connecticut CTDPA + Texas TDPSA + Oregon OCPA + state-comprehensive-privacy + GDPR + UK GDPR + EU DSA + COPPA + AADC + cookie consent apply, (e) attorney-client privilege (Upjohn v United States 449 U.S. 383, 1981 + Hickman v Taylor 329 U.S. 495, 1947 + Federal Rule of Civil Procedure 26(b)(3) + ABA Model Rules 1.6 + 1.13 + 2.1 + 4.1 + SOX Section 307 attorney-reporting) + privilege-class tagging + segregated privilege-protected counsel records apply when drivers analysis touches potential litigation or regulatory inquiry, (f) NIST AI RMF + ISO 42001 + EU AI Act (Regulation 2024/1689) Article 13 + Article 14 + Article 26 + Article 50 generative-content marking when AI-drafted + per-vendor LLM zero-retention apply. Without an orchestration layer above the vendors, SOX 404 + ASC 606 attestation when drivers drive reported metrics breaks, forward-looking-statements safe-harbor posture under Pfizer + Asher goes unmaintained, GP-fiduciary attestation under Caremark + Stone v Ritter + Marchand v Barnhill goes unmaintained, FTC + Endorsement Guides + Lanham + per-state UDAP posture goes unmaintained when drivers drive operator-facing claims, privilege-class tagging fragments, EU AI Act Article 50 marking fragments when AI-drafted, per-vendor LLM zero-retention fragments. The orchestration above the vendors is what holds the cross-metric + cross-driver + cross-test invariants.
How does Skill 3 Test handle SOX + ASC 606 + forward-looking-statements + Caremark when drivers analysis drives reported metrics?
When drivers analysis outputs drive reported metrics (revenue contribution, growth attribution, churn diagnosis, retention drivers, LTV decomposition feeding board decks, LP letters, earnings, or public filings), SOX 404 + Section 302 + Section 906 attestation requirements attach. Test enforces ASC 606 + ASC 605 revenue-recognition rules — driver decomposition that reports revenue must reconcile to the operator’s general ledger; differences must be documented + reconciled + signed-off under operator-counsel-and-finance-team-approved policy. Forward-looking-statements posture under Pfizer In re Apple Computer Securities + Asher v Baxter International requires meaningful cautionary statements identifying important factors that could cause actual results to differ materially when drivers analysis drives operator-facing forecasts. Test verifies every forward-looking element against the cautionary-statement-pack and against the materially-misleading standard under Section 10(b) + Rule 10b-5 + Section 17(a). In re Caremark (Del Ch 1996) + Stone v Ritter (Del 2006) + Marchand v Barnhill (Del 2019) require board officers to maintain reasonable information + reporting + oversight systems and respond to red flags; the drivers analysis cycle itself is one such information system. Per-portco board-fiduciary attaches when the operator is PE-sponsored or public-portfolio. Test runs causal-inference checks (synthetic control + difference-in-differences + interrupted time series + instrumental variables + propensity score + regression discontinuity + matching) on a rolling cadence to validate causal hypotheses; deviations between observational decomposition and randomized or quasi-experimental causal effect get flagged for finance + audit review. SOX 404 attestation evidence + ASC 606 reconciliation evidence + forward-looking-statements cautionary-statement-pack evidence + causal-test evidence + Caremark + Stone v Ritter + Marchand v Barnhill attestation evidence all write to WORM audit trail with rule-citation evidence + case-citation evidence + counsel-policy-version + finance-team-policy-version.
What compliance does the orchestration enforce, and how does it map to FTC + SOX + ASC 606 + Pfizer + Caremark + CCPA + Upjohn + NIST AI RMF + EU AI Act Article 50?
Five anchors. Anchor 1 — FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative when drivers drive operator-facing claims. FTC Section 5 + FTC Endorsement Guides (updated 2023, 16 CFR Part 255) + FTC Fake Review Rule (effective October 2024) + Lanham Act 15 USC 1125(a) + per-state UDAP + per-vertical product-claim regulator (FDA OPDP + DEA + DISCUS + per-state cannabis-regulator + FDA Center for Tobacco Products + FTC Health Products Compliance Guidance + state insurance + state real-estate + state medical/dental/legal/accounting board) + per-state attorney comparative-advertising (ABA Model Rule 7.1-7.5). Anchor 2 — SOX + ASC 606 + Pfizer + Asher + Caremark + GP-fiduciary when drivers drive reported metrics. SOX 404 + Section 302 + Section 906 attestation + ASC 606 + ASC 605 revenue-recognition + Pfizer In re Apple Computer Securities + Asher v Baxter International forward-looking-statements safe-harbor + materially-misleading + Section 10(b) + Rule 10b-5 + Section 17(a) + In re Caremark (Del Ch 1996) + Stone v Ritter (Del 2006) + Marchand v Barnhill (Del 2019) GP-fiduciary + per-portco board-fiduciary. Anchor 3 — CCPA + GDPR + state-comprehensive-privacy. CCPA Section 1798.140(ae) + CPRA Sensitive Personal Information Section 1798.121 + Washington MHMDA + Colorado CPA Sensitive + Connecticut CTDPA + Texas TDPSA + Oregon OCPA + state-comprehensive-privacy + GDPR Articles 5 + 6 + 9 + 25 + 26 + 28 + 30 + 32 + 35 DPIA + ePrivacy + UK GDPR + EU DSA Article 16 + Article 28 + COPPA + AADC + cookie consent. Anchor 4 — Attorney-client privilege + ABA Model Rules + SOX 307 + privilege-class tagging. Upjohn v United States (449 U.S. 383, 1981) + Hickman v Taylor (329 U.S. 495, 1947) + Federal Rule of Civil Procedure 26(b)(3) + ABA Model Rules 1.6 + 1.13 + 2.1 + 4.1 + SOX Section 307 attorney-reporting + privilege-class tagging + segregated privilege-protected counsel records when drivers analysis touches potential litigation or regulatory inquiry. Anchor 5 — NIST AI RMF + ISO 42001 + EU AI Act Article 50 + per-vendor LLM zero-retention. NIST AI RMF (NIST AI 100-1) Map + Measure + Manage + ISO/IEC 42001 Clause 8 + EU AI Act (Regulation 2024/1689) Article 13 + Article 14 + Article 26 + Article 50 generative-content marking when AI-drafted + per-vendor LLM zero-retention attestation chain (OpenAI Enterprise + Anthropic + Google Vertex + Azure OpenAI + AWS Bedrock zero-retention). Broader gate enforced via policy-as-code. WORM audit trail with per-statute retention per operator counsel policy.
What does the engagement look like across Tier 1 → Tier 2 → Tier 3, and what does the Tier 3 reporting cycle commit to?
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks): audits the operator current drivers analysis posture; gap-pack identifies which target metric decompositions lack rigorous variance/Shapley/dominance method posture, which causal hypotheses lack experimentation or causal-inference test evidence, which lacks SOX 404 + ASC 606 reconciliation when drivers drive reported metrics, which lacks forward-looking-statements cautionary-statement-pack under Pfizer + Asher + Section 10(b) + Rule 10b-5 when drivers drive operator-facing forecasts, which lacks FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture when drivers drive operator-facing claims, whether Caremark + Stone v Ritter + Marchand v Barnhill GP-fiduciary attestation is wired when PE-sponsored, whether attorney-client privilege under Upjohn + Hickman + ABA Model Rules + SOX 307 is preserved via privilege-class tagging, whether NIST AI RMF + ISO 42001 + EU AI Act Article 13/14/50 is wired, whether per-vendor LLM zero-retention attestation chain is maintained, whether CCPA + GDPR + DSA + COPPA + AADC + cookie consent is wired. Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks): builds the 4-skill bundle on the drivers agent, wires warehouse + BI + experimentation + causal-inference + LLM + policy-as-code + WORM-storage (operator-chosen subset), configures the operator-counsel-and-finance-team-and-marketing-team-and-AI-governance-team-approved decomposition-method register + hypothesis-template register + experimentation-and-causal-inference cadence + SOX 404 + ASC 606 reconciliation flow + forward-looking-statements cautionary-statement-pack + FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture + Caremark + Stone v Ritter + Marchand v Barnhill GP-fiduciary attestation when PE-sponsored + Upjohn + Hickman + ABA Model Rules + privilege-class tagging + NIST AI RMF + ISO 42001 + EU AI Act Article 13/14/50 + per-vendor LLM zero-retention attestation chain + CCPA + GDPR + DSA + COPPA + AADC + cookie consent, runs 30-day shadow + canary with Test in audit-only before flipping to enforce-mode. Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum): continues with continuous Decompose + Hypothesize + Test + Attest. Tier 3 reporting is a 6-workstream pre-engagement-baseline reporting cycle (decomposition-method coverage + hypothesis-test coverage + causal-inference cadence + SOX 404 + ASC 606 reconciliation freshness when drivers drive reported metrics + forward-looking-statements cautionary-statement-pack freshness + FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture freshness + Caremark + Stone v Ritter + Marchand v Barnhill GP-fiduciary attestation freshness + privilege-class tagging coverage + EU AI Act Article 50 marking + per-vendor LLM zero-retention attestation + WORM audit-trail completeness) measured against the operator pre-engagement baseline. Reporting carries explicit caveats sit outside Completions control + attorney-client privilege preservation.
Who owns the warehouse, the BI, the experimentation, the causal-inference, the privilege records, and the audit trail?
Operator owns every artifact. Warehouse (Snowflake + BigQuery + Databricks + Redshift — operator chooses) runs under operator account. BI (Looker + Tableau + Power BI + Mode + Hex + Sigma + Lightdash — operator chooses) runs under operator billing. Experimentation (Optimizely + VWO + Statsig + Eppo + Split + GrowthBook + Convert + AB Tasty — operator chooses) runs under operator account. Causal-inference (CausalNex + DoWhy + EconML + CausalImpact + Microsoft FLAML + PyMC — operator chooses) runs as open-source under operator code repo or managed where applicable. LLM provider contracts (OpenAI Enterprise + Anthropic API + Google Vertex AI + Microsoft Azure OpenAI Service + AWS Bedrock — operator chooses) run under operator account with operator-counsel-approved DPAs + zero-retention attestation. The operator-counsel-and-finance-team-and-marketing-team-and-AI-governance-team-approved decomposition-method register + hypothesis-template register + experimentation-and-causal-inference cadence + SOX 404 + ASC 606 reconciliation flow + forward-looking-statements cautionary-statement-pack + FTC + Endorsement Guides + Fake Review Rule + Lanham + per-state UDAP + per-vertical + per-state attorney comparative-advertising posture + Caremark + Stone v Ritter + Marchand v Barnhill GP-fiduciary attestation + Upjohn + Hickman + ABA Model Rules + privilege-class tagging policy + segregated privilege-protected counsel records + NIST AI RMF + ISO 42001 + EU AI Act Article 13/14/50 + Article 50 marking flow + per-vendor LLM zero-retention attestation chain + CCPA + GDPR + DSA + COPPA + AADC + cookie consent records all live in operator counsel + finance + marketing + AI-governance repo. The Decompose + Hypothesize + Test + Attest skill code lives in operator code repo. The policy-as-code policies live in operator code repo, counsel-aligned. The WORM audit trail lives on operator-controlled cloud storage. Completions owns the orchestration knowledge and transfers it under the Tier 3 transition path (30-60 days at engagement end). Completions credentials revoke on engagement-end.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks, $10k). Hand off to Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks). Continue under Tier 3 Fractional CMO with AI Swarm ($15-25k/mo, 6-month minimum, 1-2 days/wk embedded).