Done-for-you offer · Fractional CMO with AI Swarm · marketing-mix-modeling skill
Completions builds per-market MMM — 🎯 5th 4-skill bundle on walk-in-phone-attribution + NEW Parallel-Inputs → Resolve → Forecast architecture + MMM Resurgence
You operate 50-1,500 locations × 10-100 markets × per -market per-channel per-tactic spend-attribution dependency. Per-market MMM without governance fragments per-channel response-curve resolution + produces missed per-tactic forecast-optimization + per-market compliance exposure. Completions builds the marketing-mix-modeling 4-skill bundle on the walk-in-phone-attribution agent end -to-end. 🎯 5th 4-skill bundle (spend-ingestion + response -curve-resolution + forecast-optimization + counterfactual -replay — 5th 4-skill bundle in catalog; marks 4-skill bundle as consistent canonical-bundle-size). 🎯 NEW Parallel-Inputs → Resolve → Forecast architecture (FIRST Parallel-Inputs → Resolve → Forecast variant in catalog — marks Parallel-Inputs → Resolve → Forecast as 3rd Parallel-Inputs canonical family). 🎯 MMM Resurgence (per -market MMM reclaims canonical cross-channel attribution -substitute post-iOS-14.5 — marks MMM as reclaim -attribution-mechanic). You keep every artifact.
Published September 24, 2026
Frequently asked
What does "Completions builds per-market MMM — 5th 4-skill bundle on walk-in-phone-attribution + NEW Parallel-Inputs → Resolve → Forecast architecture + MMM Resurgence" actually deliver?
Completions builds and operates per-market per-channel per-tactic spend ingestion + per-market per-channel per-tactic response-curve resolution + per-market per-channel per-tactic forecast-optimization + per-market per-channel per-tactic counterfactual-replay across the walk-in-phone-attribution agent. Per-market per-channel per-tactic spend ingestion across 50-1,500 locations × 10-100 markets × per-market per-channel per-tactic 30+ channels (per-market per-channel per-tactic linear-TV + per-market per-channel per-tactic CTV + per-market per-channel per-tactic OTT + per-market per-channel per-tactic addressable-TV + per-market per-channel per-tactic radio + per-market per-channel per-tactic streaming-audio + per-market per-channel per-tactic podcast + per-market per-channel per-tactic OOH + per-market per-channel per-tactic DOOH + per-market per-channel per-tactic direct-mail + per-market per-channel per-tactic print + per-market per-channel per-tactic Google-Ads + per-market per-channel per-tactic Microsoft-Ads + per-market per-channel per-tactic Apple-Search-Ads + per-market per-channel per-tactic Meta + per-market per-channel per-tactic LinkedIn + per-market per-channel per-tactic X + per-market per-channel per-tactic TikTok + per-market per-channel per-tactic YouTube + per-market per-channel per-tactic Pinterest + per-market per-channel per-tactic Snap + per-market per-channel per-tactic Reddit + per-market per-channel per-tactic affiliate + per-market per-channel per-tactic influencer + per-market per-channel per-tactic sponsorship + per-market per-channel per-tactic event + per-market per-channel per-tactic field-marketing + per-market per-channel per-tactic referral + per-market per-channel per-tactic loyalty + per-market per-channel per-tactic email + per-market per-channel per-tactic SMS + per-market per-channel per-tactic push) with per-market per-channel per-tactic spend-grain (per-market per-channel per-tactic daily-spend + per-market per-channel per-tactic weekly-spend + per-market per-channel per-tactic monthly-spend + per-market per-channel per-tactic quarterly-spend) + per-market per-channel per-tactic spend-quality-attestation. Per-market per-channel per-tactic response-curve resolution across per-market per-channel per-tactic response-model (per-market per-channel per-tactic Hill-saturation + per-market per-channel per-tactic exponential-decay + per-market per-channel per-tactic Adstock + per-market per-channel per-tactic Geometric-decay + per-market per-channel per-tactic Weibull + per-market per-channel per-tactic Negative-Binomial + per-market per-channel per-tactic Gamma-decay + per-market per-channel per-tactic Bayesian-shrinkage + per-market per-channel per-tactic hierarchical-Bayesian + per-market per-channel per-tactic state-space-model) with per-market per-channel per-tactic response-curve-parameter (per-market per-channel per-tactic alpha + per-market per-channel per-tactic beta + per-market per-channel per-tactic gamma + per-market per-channel per-tactic saturation-asymptote + per-market per-channel per-tactic carryover-rate + per-market per-channel per-tactic synergy-factor + per-market per-channel per-tactic cannibalization-factor + per-market per-channel per-tactic seasonality-factor) + per-market per-channel per-tactic posterior-confidence + per-market per-channel per-tactic credibility-interval. Per-market per-channel per-tactic forecast-optimization across per-market per-channel per-tactic optimization-objective (per-market per-channel per-tactic maximize-revenue + per-market per-channel per-tactic maximize-margin + per-market per-channel per-tactic maximize-share + per-market per-channel per-tactic maximize-units + per-market per-channel per-tactic maximize-traffic + per-market per-channel per-tactic minimize-CAC + per-market per-channel per-tactic minimize-CAC-payback) with per-market per-channel per-tactic budget-constraint + per-market per-channel per-tactic min-max-bound + per-market per-channel per-tactic seasonality-constraint + per-market per-channel per-tactic strategic-priority-constraint + per-market per-channel per-tactic optimization-horizon. Per-market per-channel per-tactic counterfactual-replay emits per-market per-channel per-tactic counterfactual-record with per-market per-channel per-tactic as-of-timestamp + per-market per-channel per-tactic baseline-scenario + per-market per-channel per-tactic counterfactual-scenario + per-market per-channel per-tactic incremental-revenue + per-market per-channel per-tactic incremental-margin + per-market per-channel per-tactic counterfactual-confidence + per-market per-channel per-tactic counterfactual-attestation. 🎯 5th 4-skill bundle on walk-in-phone-attribution — extends prior 4 4-skill bundles (latest #471 regulatory-change-monitoring) by adding the 5th 4-skill bundle (spend-ingestion + response-curve-resolution + forecast-optimization + counterfactual-replay) on the walk-in-phone-attribution agent; cumulative 4-skill bundle count in the catalog reaches 5 with this skill; 5th 4-skill bundle marks 4-skill bundle as a consistent canonical-bundle-size in the catalog. 🎯 NEW Parallel-Inputs → Resolve → Forecast architecture — extends prior Parallel-Inputs → Process family by adding the NEW Parallel-Inputs → Resolve → Forecast architecture variant where Parallel-Inputs (30+ channels) feed Resolve (response-curve resolution) feeds Forecast (forecast-optimization + counterfactual-replay); the FIRST Parallel-Inputs → Resolve → Forecast architecture variant in the catalog; marks Parallel-Inputs → Resolve → Forecast as the 3rd Parallel-Inputs canonical family. 🎯 MMM Resurgence — marketing-mix-modeling as the marketing-economics canonical resurgence post-iOS-14.5 attribution-deprecation era; per-market MMM reclaims the role of canonical cross-channel attribution-substitute as per-customer per-event attribution becomes unreliable across walled-garden platforms; MMM Resurgence marks marketing-mix-modeling as the canonical reclaim-attribution-mechanic in the catalog post-iOS-14.5. Per-vertical compliance overlay (FTC + SEC Reg FD/G + FINRA + SOX + GAAP ASC 606 + IFRS 15 per-market per-channel per-tactic spend-reporting + per-vertical comparative-benchmarking-disclosure + per-jurisdiction territorial-disclosure). Operator team owns the per-market per-channel per-tactic spend ingestion registry + per-market per-channel per-tactic response-curve resolution registry + per-market per-channel per-tactic forecast-optimization registry + per-market per-channel per-tactic counterfactual-replay registry + audit trail. Completions owns the swarm orchestration on the walk-in-phone-attribution agent.
Why does in-house per-market MMM break at multi-market multi-channel multi-tactic scale?
In-house operation fails on six axes: (1) per-market per-channel per-tactic spend ingestion across 50-1,500 locations × 10-100 markets × 30+ channels × 4 spend-grains × per-channel quality-attestation requires production ingestion infrastructure unstaffable by internal teams; (2) per-market per-channel per-tactic response-curve resolution across 10 response-models × 8 response-curve-parameters × posterior-confidence + credibility-interval requires Bayesian-statistics + data-science capacity; (3) per-market per-channel per-tactic forecast-optimization across 7 optimization-objectives × budget + min-max + seasonality + strategic-priority constraints requires operations-research capacity; (4) per-market per-channel per-tactic counterfactual-replay with as-of-timestamp + baseline + counterfactual + incremental + confidence + attestation requires audit-engineering + experimental-design capacity; (5) 5th 4-skill bundle + NEW Parallel-Inputs → Resolve → Forecast architecture + MMM Resurgence architecture coordination requires orchestration capacity at the cross-channel attribution-substitute tier; (6) per-vertical compliance overlay covering FTC + SEC + FINRA + SOX + GAAP + IFRS per-market per-channel per-tactic spend-reporting requires legal-engineering + financial-engineering capacity. Completions absorbs all six axes under one Tier 3 Fractional CMO with AI Swarm engagement.
What does the engagement look like across Tier 1 → Tier 2 → Tier 3?
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks, diagnostic): audits six axes. Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks): builds spend-ingestion + response-curve-resolution + forecast-optimization + counterfactual-replay on walk-in-phone-attribution agent — completing the 5th 4-skill bundle + NEW Parallel-Inputs → Resolve → Forecast architecture + MMM Resurgence architecture. Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded): continues operating with continuous per-market per-channel per-tactic spend ingestion + per-event per-market per-channel per-tactic response-curve resolution + per-event per-market per-channel per-tactic forecast-optimization + per-event per-market per-channel per-tactic counterfactual-replay + cross-agent swarm coordination.
Who owns the spend, response-curve, forecast, and counterfactual registries?
Operator owns 100% of every artifact: 4 registries (in operator data infrastructure), 4-skill bundle model code (operator-owned + operator-finance-team + operator-marketing-team + operator-data-science-team-aligned), per-channel credentials (Google Ads + Microsoft + Apple + Meta + LinkedIn + X + TikTok + YouTube + Pinterest + Snap + Reddit + per-vertical specialty SEM/social platforms + per-channel CTV/OTT/radio/podcast/OOH/DOOH platforms under operator billing + operator credentials), per-vertical compliance overlay (rule library in operator repo with attorney + CFO approved updates), FTC + SEC + FINRA + SOX + GAAP + IFRS disclosure register (operator-owned + operator-counsel + operator-CFO-maintained), brand spec (versioned in operator repo), LLM prompts (in operator repo), audit trail. Completions owns the orchestration knowledge.
What KPIs will Completions commit to on Tier 3 engagement?
Typical Tier 3 commitments: (1) per-market per-channel per-tactic spend ingestion coverage at 99-percent target across 30+ channels; (2) per-market per-channel per-tactic response-curve resolution posterior-confidence at 95-percent credibility-interval; (3) per-market per-channel per-tactic forecast-optimization accuracy at 85-percent target (predicted-vs-actual at 90-day mark); (4) per-market per-channel per-tactic counterfactual-replay fidelity at 90-percent target; (5) 5th 4-skill bundle + NEW Parallel-Inputs → Resolve → Forecast architecture + MMM Resurgence architecture coordination latency under 24-hour end-to-end per-market MMM rerun cycle; (6) per-vertical compliance overlay coverage at 99-percent target across FTC + SEC + FINRA + SOX + GAAP + IFRS; (7) per-market per-channel per-tactic incremental-revenue calibration accuracy at 80-percent target; (8) per-market per-channel per-tactic CAC + CAC-payback reduction at 10-20-percent target vs operator baseline; (9) per-market per-channel per-tactic counterfactual-attestation persistence at 100-percent target; (10) per-market per-channel per-tactic audit-trail persistence at 100-percent target with WORM-storage verification.
How does engagement end and what is the operator transition path?
Tier 3 engagements are 6-month minimum with 90-day notice. At engagement end, Completions transitions back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training + 4 registries hand-off + 4-skill bundle model code hand-off + per-channel credentials hand-off + LLM prompts hand-off + audit trail hand-off; Completions credentials revoke immediately.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks, $10k). Hand off to Tier 2 ($25-50k, 4-8 weeks). Continue under Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded).