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Measure swarm · Territory-Analysis-Market-Scoring Agent · Franchise-system-performance-correlation skill · Build pillar · Published July 23, 2026

How to build per-unit per-driver EBITDA causal decomposition for franchise systems

This guide explains how to architect the franchise-system-performance-correlation skill on the territory-analysis-market-scoring agent end-to-end at multi-franchise causal-decomposition scale: per-portfolio per-banner per-unit per-canonical-driver-pointer + per-canonical-per-unit-per-driver-causal-model-stack-spec + per-canonical-per-unit-per-driver-counterfactual-simulation-spec + per-canonical-per-unit-per-driver-compliance-gate-spec + per-canonical-per-unit-per-driver-FBC-feedback-loop + per-canonical-per-unit-per-driver-audit-trail + per-portfolio-audit-trail.

What you will build

  • Per-portfolio per-banner per-unit per-canonical-driver-pointer across 37 driver types — per-trade-area-demographics + per-trade-area-foot-traffic + per-trade-area-real-estate-cost + per-trade-area-labor-availability + per-trade-area-competitor-density + per-trade-area-co-tenancy + per-trade-area-traffic-pattern + per-trade-area-weather-pattern + per-trade-area-event-calendar + per-trade-area-seasonality + per-trade-area-cross-banner-cannibalization + per-unit-tenure + per-unit-multi-unit-operator + per-unit-franchisee-experience + per-unit-franchisee-engagement + per-unit-staff-tenure + per-unit-staff-turnover + per-unit-manager-tenure + per-unit-square-footage + per-unit-format + per-unit-equipment-vintage + per-unit-remodel-recency + per-unit-loyalty-penetration + per-unit-AOV + per-unit-conversion-rate + per-unit-channel-mix + per-unit-marketing-mix-coefficient + per-unit-pricing-strategy + per-unit-promotion-cadence + per-unit-product-mix-margin + per-unit-supply-cost + per-unit-labor-cost + per-unit-occupancy-cost + per-unit-royalty-rate + per-unit-marketing-fund-contribution + per-unit-FDD-Item-19-FPR-bucket.
  • Per-canonical-per-unit-per-driver-causal-model-stack-spec — per-DAG-causal-graph (Pearl-do-calculus + back-door + front-door + IV + mediator + collider + confounder identification) + per-Bayesian-hierarchical-multi-level (Stan + PyMC + NumPyro + bambi + brms-R) + per-causal-uplift-CATE (T-learner + S-learner + X-learner + DR-learner + Causal-Forest + BART + CausalML + DoubleML + EconML) + per-Synthetic-Control-Method + per-Augmented-Synthetic-Control + per-Difference-in-Differences + per-Triple-Differences + per-event-study + per-Regression-Discontinuity + per-Instrumental-Variable-2SLS + per-Heckman-correction + per-propensity-score-matching + per-inverse-propensity-weighting + per-doubly-robust-estimator + per-G-computation + per-targeted-maximum-likelihood-TMLE + per-multi-LLM-ensemble + per-causal-confidence-tier + per-causal-explainability + per-sensitivity-analysis (Rosenbaum-bounds + E-value + tipping-point + prior-sensitivity).
  • Per-canonical-per-unit-per-driver-counterfactual-simulation-spec — per-8-counterfactual-scenario (driver-up-1-stddev + driver-up-2-stddev + driver-down-1-stddev + driver-down-2-stddev + driver-to-system-median + driver-to-top-decile + driver-to-bottom-decile + driver-to-target-bucket) + per-counterfactual-EBITDA-revenue-cost-margin-delta + per-4-prediction-interval (Bayesian-posterior + Monte-Carlo + bootstrap + quantile-regression) + per-counterfactual-confidence-tier + per-counterfactual-explainability + per-rank-aggregation-Borda-Condorcet + per-driver-importance-SHAP-LIME-PFI + per-driver-uplift-ranking + per-intervention-cost-vs-EBITDA-uplift + per-ROI-IRR.
  • Per-canonical-per-unit-per-driver-compliance-gate-spec + per-canonical-per-unit-per-driver-FBC-feedback-loop — per-FDD-Item-19-FPR-substantiation (bucket + time-window + cohort-inclusion + cohort-exclusion + document-hash + source-of-record) + per-FDD-Item-12-territorial-protection + per-FDD-Item-17-renewal-termination-transfer + per-state-FRR-30-state + per-FTC-substantiation-doctrine + per-FTC-MARS + per-FTC-Franchise-Rule + per-FINRA-2210 + per-SEC-Reg-S-K + per-SOX-Section-302 + per-SOX-Section-404 + per-CFPB-UDAAP + per-Robinson-Patman + per-Lanham + per-state-business-opportunity-disclosure + per-state-investment-disclosure + per-CCPA-CPRA + per-GDPR + per-LGPD + per-DPDP + per-PIPEDA + per-EU-AI-Act-Article-13-Article-14-Article-15 + per-NIST-AI-RMF + per-ISO-42001 + per-OPA-Cedar-Casbin-Cerbos-Oso-policy-as-code + per-realized-vs-counterfactual-EBITDA-revenue-cost-margin-delta + per-control-vs-treatment-incrementality-realized + per-geo-experiment-realized-validation + per-DAG-edge-recalibration + per-Bayesian-prior-recalibration + per-CATE-recalibration + per-SCM-DiD-RD-IV-recalibration + per-propensity-score-doubly-robust-TMLE-recalibration + per-sensitivity-analysis-recalibration + per-pattern-learning + per-emerging-driver-detection + per-model-drift-detection + per-model-retraining-trigger.
  • Per-canonical-cross-skill-handoff + per-canonical-audit-trail + per-territory-analysis-market-scoring-agent-canonical-bundle — per-handoff-to-27-sibling-skills + per-per-unit-per-driver-canonical-audit-record + per-SOC-2-Type-II + per-immutable-WORM-storage + per-7-year-IRS-tax-retention + per-7-year-FTC-substantiation-retention + per-7-year-FDD-retention + per-SEC-7-year-revenue-recognition-retention.

Why per-vendor-Tableau-account-flat-BI-dashboard breaks at multi-franchise causal-decomposition scale

Per-vendor-Tableau-canonical-account-flat-BI-dashboard ships per-account per-flat-BI-dashboard primitive — typically descriptive statistics (totals + averages + cohort comparisons) with no causal-model stack, no per-unit per-driver counterfactual simulation, no per-unit per-driver compliance gate (FDD-Item-19-FPR-substantiation). Per-vendor-Looker + Power-BI + Domo + Sisense + Qlik + ThoughtSpot + Mode + Hex + Sigma + Omni + Lightdash + Metabase + Preset + Redash + Cube + Holistics + InsightSquared-canonical-account-flat-BI-dashboard ship per-vendor per-native account-flat-BI-dashboard primitives.

At 1-account-1-flat-BI-dashboard scale per-account per-flat-BI-dashboard primitive is enough. At multi-franchise causal-decomposition scale per-canonical-per-unit-per-driver-causal-model-stack-spec + per-canonical-per-unit-per-driver-counterfactual-simulation-spec + per-canonical-per-unit-per-driver-compliance-gate-spec + per-canonical-per-unit-per-driver-FBC-feedback-loop + per-canonical-per-unit-per-driver-audit-trail.

Per-account-flat-BI-dashboard + per-DAG-causal-graph-blind + per-Pearl-do-calculus-blind + per-Bayesian-hierarchical-multi-level-blind + per-causal-uplift-CATE-blind + per-Synthetic-Control-Method-blind + per-Difference-in-Differences-blind + per-Regression-Discontinuity-blind + per-Instrumental-Variable-blind + per-Heckman-correction-blind + per-propensity-score-matching-blind + per-doubly-robust-estimator-blind + per-TMLE-blind + per-counterfactual-simulation-blind + per-sensitivity-analysis-blind + per-FDD-Item-19-FPR-substantiation-blind + per-FDD-Item-12-territorial-protection-blind + per-state-FRR-blind + per-FTC-substantiation-doctrine-blind + per-FTC-MARS-blind + per-FTC-Franchise-Rule-blind + per-FINRA-2210-blind + per-SEC-Reg-S-K-blind + per-SOX-Section-302-Section-404-blind + per-CFPB-UDAAP-blind + per-Robinson-Patman-blind + per-Lanham-Act-blind + per-EU-AI-Act-Article-13-Article-14-Article-15-blind + per-NIST-AI-RMF-blind + per-ISO-42001-blind + per-7-year-FDD-retention-blind + per-SEC-7-year-revenue-recognition-retention-blind.

The operator-side architecture above per-vendor-flat-BI-dashboard primitive is canonical-per-unit-per-driver-causal-model-stack-spec + per-counterfactual-simulation-spec + per-compliance-gate-spec + per-FBC-feedback-loop + per-cross-skill-handoff + per-audit-trail + per-portfolio-audit-trail.

What is in market today

Per-platform per-BI-dashboard-vendor

Tableau, Looker, Power BI, Domo, Sisense, Qlik Sense, ThoughtSpot, Mode, Hex, Sigma, Omni, Lightdash, Metabase, Preset, Redash, Cube, Holistics, InsightSquared. Per-account per-flat-BI-dashboard primitive (descriptive statistics + cohort comparisons; no causal-model stack). Per-canonical-per-unit-per-driver-causal-model-stack-canonical-per-unit-per-driver-counterfactual-simulation-canonical-per-unit-per-driver-compliance-gate-canonical-per-unit-per-driver-FBC-feedback-canonical-per-unit-per-driver-audit-trail is not the primitive.

Per-platform per-franchise-system-performance-vendor

FRM Solutions, FranConnect, Naranga, ServiceMinder, Profit Keeper, Service Brands International, Yumpingo, Servy, Reach Local, Hot Schedules + Fourth, ZeeFi franchisee analytics, Profitstars Franchise Analytics. Per-account per-flat-franchisee-scorecard primitive (typically descriptive rollup KPIs; no per-unit per-driver causal decomposition). Per-canonical-per-unit-per-driver-DAG-canonical-per-unit-per-driver-Pearl-do-calculus-canonical-per-unit-per-driver-Bayesian-hierarchical-canonical-per-unit-per-driver-causal-uplift-CATE-canonical-per-unit-per-driver-Synthetic-Control-Method-canonical-per-unit-per-driver-Augmented-Synthetic-Control-canonical-per-unit-per-driver-Difference-in-Differences-canonical-per-unit-per-driver-Triple-Differences-canonical-per-unit-per-driver-event-study-canonical-per-unit-per-driver-Regression-Discontinuity-canonical-per-unit-per-driver-Instrumental-Variable-2SLS-canonical-per-unit-per-driver-Heckman-correction-canonical-per-unit-per-driver-propensity-score-matching-canonical-per-unit-per-driver-inverse-propensity-weighting-canonical-per-unit-per-driver-doubly-robust-estimator-canonical-per-unit-per-driver-G-computation-canonical-per-unit-per-driver-targeted-maximum-likelihood-TMLE is not the primitive.

Per-platform per-causal-inference-tooling-vendor

Microsoft DoWhy + EconML, Google CausalImpact, Meta GeoLift, Uber CausalML, AWS SageMaker Clarify, Stan, PyMC, NumPyro, bambi, brms-R, lifelines, scikit-uplift, CausalNex, BART, dowhy-pandas. Per-account per-flat-model primitive. Per-canonical-per-unit-per-driver-counterfactual-scenario-canonical-per-unit-per-driver-counterfactual-EBITDA-revenue-cost-margin-delta-canonical-per-unit-per-driver-counterfactual-Bayesian-posterior-prediction-interval-canonical-per-unit-per-driver-counterfactual-Monte-Carlo-prediction-interval-canonical-per-unit-per-driver-counterfactual-bootstrap-prediction-interval-canonical-per-unit-per-driver-counterfactual-quantile-regression-prediction-interval-canonical-per-unit-per-driver-counterfactual-rank-aggregation-Borda-Condorcet-canonical-per-unit-per-driver-counterfactual-driver-importance-SHAP-LIME-PFI-canonical-per-unit-per-driver-counterfactual-driver-uplift-ranking-canonical-per-unit-per-driver-counterfactual-intervention-cost-vs-EBITDA-uplift-canonical-per-unit-per-driver-counterfactual-ROI-IRR is not the primitive.

Per-platform per-FDD-compliance-vendor

FranConnect, FRM Solutions, FranchiseFastTrack, Franchise Wire, Naranga, Cheng Cohen LLC FDD compliance, Plave Koch PLC FDD compliance, IFA Franchise360. Per-account per-flat-FDD-document primitive (typically PDF + spreadsheet + cohort-based Item-19 roll-ups; no per-unit per-driver causal substantiation + no per-state-FRR + no per-FDD-Item-19-FPR-substantiation document hash + source-of-record). Per-canonical-per-unit-per-driver-FDD-Item-19-FPR-substantiation-canonical-per-unit-per-driver-FDD-Item-12-territorial-protection-canonical-per-unit-per-driver-FDD-Item-17-renewal-termination-transfer-canonical-per-unit-per-driver-state-FRR-Franchise-Relationship-Rules-NY-CA-IL-MN-MI-WA-WI-IA-IN-MD-NE-ND-SD-AR-HI-RI-VA-NJ-CT-MS-MO-KY-ME-DE-TN-GA-FL-LA-UT-AZ-canonical-per-unit-per-driver-FTC-Franchise-Rule-canonical-per-unit-per-driver-state-business-opportunity-disclosure-canonical-per-unit-per-driver-state-investment-disclosure is not the primitive.

How the architecture is built

  1. Per-portfolio per-banner per-unit per-canonical-driver-pointer-substrate. Per-37-canonical-driver canonical-driver.
  2. Per-portfolio per-canonical-per-unit-per-driver-causal-model-stack-spec. Per-DAG + per-Bayesian-hierarchical + per-causal-uplift-CATE + per-SCM + per-Augmented-SCM + per-DiD + per-Triple-DiD + per-event-study + per-RD + per-IV-2SLS + per-Heckman + per-propensity-score-matching + per-IPW + per-doubly-robust + per-G-computation + per-TMLE + per-multi-LLM-ensemble + per-causal-confidence-tier + per-sensitivity-analysis canonical-causal-model-stack.
  3. Per-portfolio per-canonical-per-unit-per-driver-counterfactual-simulation-spec. Per-8-counterfactual-scenario + per-EBITDA-revenue-cost-margin-delta + per-4-prediction-interval + per-counterfactual-confidence-tier + per-rank-aggregation-Borda-Condorcet + per-driver-importance-SHAP-LIME-PFI + per-driver-uplift-ranking + per-intervention-cost-vs-EBITDA-uplift + per-ROI-IRR canonical-counterfactual.
  4. Per-portfolio per-canonical-per-unit-per-driver-compliance-gate-spec. Per-FDD-Item-19-FPR-substantiation + per-FDD-Item-12-territorial-protection + per-FDD-Item-17-renewal-termination-transfer + per-state-FRR-30-state + per-FTC-substantiation + per-FTC-MARS + per-FTC-Franchise-Rule + per-FINRA-2210 + per-SEC-Reg-S-K + per-SOX-Section-302 + per-SOX-Section-404 + per-CFPB-UDAAP + per-Robinson-Patman + per-Lanham + per-state-business-opportunity-disclosure + per-state-investment-disclosure + per-CCPA-CPRA + per-GDPR + per-LGPD + per-DPDP + per-PIPEDA + per-EU-AI-Act-Article-13-Article-14-Article-15 + per-NIST-AI-RMF + per-ISO-42001 + per-OPA-Cedar-Casbin-Cerbos-Oso-policy-as-code canonical-compliance.
  5. Per-portfolio per-canonical-per-unit-per-driver-FBC-feedback-loop. Per-realized-vs-counterfactual-EBITDA-revenue-cost-margin-delta + per-control-vs-treatment-incrementality-realized + per-geo-experiment-realized-validation + per-DAG-edge-recalibration + per-Bayesian-prior-recalibration + per-CATE-recalibration + per-SCM-DiD-RD-IV-recalibration + per-propensity-score-doubly-robust-TMLE-recalibration + per-sensitivity-analysis-recalibration + per-pattern-learning + per-emerging-driver-detection + per-model-drift-detection + per-model-retraining-trigger canonical-FBC.
  6. Per-portfolio per-canonical-cross-skill-handoff. Per-handoff-to-27-sibling-skills canonical-handoff.
  7. Per-portfolio per-canonical-audit-trail + per-portfolio-audit-trail. Per-per-unit-per-driver-canonical-audit-record + per-FDD-Item-19-FPR-substantiation + per-FDD-Item-12-Item-17 + per-state-FRR + per-FTC-substantiation + per-FTC-MARS + per-FTC-Franchise-Rule + per-FINRA-2210 + per-SEC-Reg-S-K + per-SOX-Section-302-Section-404 + per-CFPB-UDAAP + per-Robinson-Patman + per-Lanham + per-CCPA-CPRA-DSAR + per-GDPR-DPIA + per-LGPD-ANPD + per-DPDP-India + per-PIPEDA-OPC + per-EU-AI-Act-Article-13-Article-14-Article-15 + per-NIST-AI-RMF + per-ISO-42001 + per-SOC-2-Type-II + per-immutable-WORM-storage + per-7-year-IRS-tax-retention + per-7-year-FTC-substantiation-retention + per-7-year-FDD-retention + per-SEC-7-year-revenue-recognition-retention canonical-audit.
  8. Per-portfolio per-territory-analysis-market-scoring-agent-canonical-bundle. Per-franchise-system-performance-correlation + per-site-selection-software + per-market-opportunity-analysis + per-competitor-mapping + per-franchise-territory-mapping + per-franchise-registration-states + per-foot-traffic-data-ingestion + per-demographic-data-ingestion + per-firmographic-enrichment + per-per-location-demographics canonical-bundle.
  9. Per-portfolio per-canonical-end-to-end-SLA. Per-per-unit-per-driver-data-ingestion-to-DAG-construction-to-causal-model-stack-fit-to-counterfactual-simulation-to-sensitivity-analysis-to-compliance-gate-to-multi-LLM-pre-publish-to-FBC-SLA canonical-end-to-end-SLA.
  10. Per-portfolio per-canonical-end-to-end-replay. Per-replay-spec + per-replay-trace + per-replay-decision + per-per-unit-per-driver-decomposition-rewind canonical-replay.

Frequently asked questions

What is per-unit per-driver EBITDA causal decomposition for franchise systems?

Per-unit per-driver EBITDA causal decomposition runs per-portfolio per-banner per-unit per-canonical-driver-pointer (per-trade-area-demographics + per-trade-area-foot-traffic + per-trade-area-real-estate-cost + per-trade-area-labor-availability + per-trade-area-competitor-density + per-trade-area-co-tenancy + per-trade-area-traffic-pattern + per-trade-area-weather-pattern + per-trade-area-event-calendar + per-trade-area-seasonality + per-trade-area-cross-banner-cannibalization + per-unit-tenure + per-unit-multi-unit-operator + per-unit-franchisee-experience + per-unit-franchisee-engagement + per-unit-staff-tenure + per-unit-staff-turnover + per-unit-manager-tenure + per-unit-square-footage + per-unit-format + per-unit-equipment-vintage + per-unit-remodel-recency + per-unit-loyalty-penetration + per-unit-AOV + per-unit-conversion-rate + per-unit-channel-mix + per-unit-marketing-mix-coefficient + per-unit-pricing-strategy + per-unit-promotion-cadence + per-unit-product-mix-margin + per-unit-supply-cost + per-unit-labor-cost + per-unit-occupancy-cost + per-unit-royalty-rate + per-unit-marketing-fund-contribution + per-unit-FDD-Item-19-FPR-bucket + per-canonical-driver) + per-canonical-per-unit-per-driver-causal-model-stack-spec + per-canonical-per-unit-per-driver-counterfactual-simulation-spec + per-canonical-per-unit-per-driver-compliance-gate-spec + per-canonical-per-unit-per-driver-FBC-feedback-loop + per-canonical-per-unit-per-driver-audit-trail + per-portfolio-audit-trail.

Why does per-vendor-Tableau-canonical-account-flat-BI-dashboard break at multi-franchise causal-decomposition scale?

Per-vendor-Tableau-canonical-account-flat-BI-dashboard ships per-account per-flat-BI-dashboard primitive — typically descriptive statistics (totals + averages + cohort comparisons) with no causal-model stack, no per-unit per-driver counterfactual simulation, no per-unit per-driver compliance gate (FDD-Item-19-FPR-substantiation). Per-vendor-Looker-canonical + per-Power-BI-canonical + per-Domo-canonical + per-Sisense-canonical + per-Qlik-canonical + per-ThoughtSpot-canonical + per-Mode-canonical + per-Hex-canonical + per-Sigma-canonical + per-Omni-canonical + per-Lightdash-canonical + per-Metabase-canonical + per-Preset-canonical + per-Redash-canonical + per-Cube-canonical + per-Holistics-canonical + per-InsightSquared-canonical-account-flat-BI-dashboard ship per-vendor per-native account-flat-BI-dashboard primitives. At 1-account-1-flat-BI-dashboard scale per-account per-flat-BI-dashboard primitive is enough. At multi-franchise causal-decomposition scale per-canonical-per-unit-per-driver-causal-model-stack-spec + per-canonical-per-unit-per-driver-counterfactual-simulation-spec + per-canonical-per-unit-per-driver-compliance-gate-spec + per-canonical-per-unit-per-driver-FBC-feedback-loop + per-canonical-per-unit-per-driver-audit-trail.

How does per-unit per-driver causal-model-stack + per-unit per-driver counterfactual-simulation work?

Per-portfolio per-banner per-unit per-canonical-per-unit-per-driver-causal-model-stack-spec runs per-portfolio per-canonical-per-unit-per-driver-DAG-Directed-Acyclic-Graph-causal-graph (per-Pearl-do-calculus + per-back-door-criterion + per-front-door-criterion + per-instrumental-variable + per-mediator-identification + per-collider-identification + per-confounder-identification) + per-canonical-per-unit-per-driver-Bayesian-hierarchical-multi-level-model (per-Stan + per-PyMC + per-NumPyro + per-bambi + per-brms-R) + per-canonical-per-unit-per-driver-causal-uplift-CATE (per-T-learner + per-S-learner + per-X-learner + per-DR-learner + per-Causal-Forest + per-BART + per-CausalML + per-DoubleML + per-EconML) + per-canonical-per-unit-per-driver-Synthetic-Control-Method-SCM-Abadie + per-canonical-per-unit-per-driver-Augmented-Synthetic-Control + per-canonical-per-unit-per-driver-Difference-in-Differences-DiD + per-canonical-per-unit-per-driver-Triple-Differences + per-canonical-per-unit-per-driver-event-study + per-canonical-per-unit-per-driver-Regression-Discontinuity-RD + per-canonical-per-unit-per-driver-Instrumental-Variable-IV-2SLS + per-canonical-per-unit-per-driver-Heckman-correction-selection-bias + per-canonical-per-unit-per-driver-propensity-score-matching + per-canonical-per-unit-per-driver-inverse-propensity-weighting + per-canonical-per-unit-per-driver-doubly-robust-estimator + per-canonical-per-unit-per-driver-G-computation + per-canonical-per-unit-per-driver-targeted-maximum-likelihood-TMLE + per-canonical-per-unit-per-driver-multi-LLM-ensemble + per-canonical-per-unit-per-driver-causal-confidence-tier + per-canonical-per-unit-per-driver-causal-explainability + per-canonical-per-unit-per-driver-sensitivity-analysis (per-Rosenbaum-bounds + per-E-value + per-tipping-point + per-prior-sensitivity). Per-canonical-per-unit-per-driver-counterfactual-simulation-spec runs per-portfolio per-canonical-per-unit-per-driver-counterfactual-scenario (per-driver-up-1-stddev + per-driver-up-2-stddev + per-driver-down-1-stddev + per-driver-down-2-stddev + per-driver-to-system-median + per-driver-to-top-decile + per-driver-to-bottom-decile + per-driver-to-target-bucket) + per-canonical-per-unit-per-driver-counterfactual-EBITDA-delta + per-canonical-per-unit-per-driver-counterfactual-revenue-delta + per-canonical-per-unit-per-driver-counterfactual-cost-delta + per-canonical-per-unit-per-driver-counterfactual-margin-delta + per-canonical-per-unit-per-driver-counterfactual-Bayesian-posterior-prediction-interval + per-canonical-per-unit-per-driver-counterfactual-Monte-Carlo-prediction-interval + per-canonical-per-unit-per-driver-counterfactual-bootstrap-prediction-interval + per-canonical-per-unit-per-driver-counterfactual-quantile-regression-prediction-interval + per-canonical-per-unit-per-driver-counterfactual-confidence-tier + per-canonical-per-unit-per-driver-counterfactual-explainability + per-canonical-per-unit-per-driver-counterfactual-rank-aggregation-Borda-Condorcet + per-canonical-per-unit-per-driver-counterfactual-driver-importance-SHAP-LIME-PFI + per-canonical-per-unit-per-driver-counterfactual-driver-uplift-ranking + per-canonical-per-unit-per-driver-counterfactual-intervention-cost-vs-EBITDA-uplift + per-canonical-per-unit-per-driver-counterfactual-ROI-IRR.

What does per-unit per-driver compliance-gate + per-unit per-driver FBC-feedback work?

Per-portfolio per-banner per-unit per-canonical-per-unit-per-driver-compliance-gate-spec runs per-portfolio per-canonical-per-unit-per-driver-FDD-Item-19-FPR-substantiation (per-FDD-Item-19-FPR-bucket + per-FDD-Item-19-FPR-time-window + per-FDD-Item-19-FPR-cohort-inclusion-criteria + per-FDD-Item-19-FPR-cohort-exclusion-criteria + per-FDD-Item-19-FPR-substantiation-document-hash + per-FDD-Item-19-FPR-substantiation-source-of-record) + per-canonical-per-unit-per-driver-FDD-Item-12-territorial-protection + per-canonical-per-unit-per-driver-FDD-Item-17-renewal-termination-transfer + per-canonical-per-unit-per-driver-state-FRR-Franchise-Relationship-Rules (NY + CA + IL + MN + MI + WA + WI + IA + IN + MD + NE + ND + SD + AR + HI + RI + VA + NJ + CT + MS + MO + KY + ME + DE + TN + GA + FL + LA + UT + AZ) + per-canonical-per-unit-per-driver-FTC-substantiation-doctrine + per-canonical-per-unit-per-driver-FTC-MARS + per-canonical-per-unit-per-driver-FTC-Franchise-Rule + per-canonical-per-unit-per-driver-FINRA-2210 + per-canonical-per-unit-per-driver-SEC-Reg-S-K-forward-looking-statement + per-canonical-per-unit-per-driver-SOX-Section-302-CEO-CFO-certification + per-canonical-per-unit-per-driver-SOX-Section-404-internal-control-attestation + per-canonical-per-unit-per-driver-CFPB-UDAAP + per-canonical-per-unit-per-driver-Robinson-Patman-Act + per-canonical-per-unit-per-driver-Lanham-Act + per-canonical-per-unit-per-driver-state-business-opportunity-disclosure + per-canonical-per-unit-per-driver-state-investment-disclosure + per-canonical-per-unit-per-driver-CCPA-CPRA + per-canonical-per-unit-per-driver-GDPR + per-canonical-per-unit-per-driver-LGPD + per-canonical-per-unit-per-driver-DPDP + per-canonical-per-unit-per-driver-PIPEDA + per-canonical-per-unit-per-driver-EU-AI-Act-Article-13-Article-14-Article-15 + per-canonical-per-unit-per-driver-NIST-AI-RMF + per-canonical-per-unit-per-driver-ISO-42001 + per-canonical-per-unit-per-driver-OPA-Rego-AWS-Cedar-Casbin-Cerbos-Oso-policy-as-code + per-canonical-per-unit-per-driver-compliance-confidence-tier + per-canonical-per-unit-per-driver-compliance-explainability. Per-canonical-per-unit-per-driver-FBC-feedback-loop runs per-portfolio per-canonical-FBC-per-unit-per-driver-realized-vs-counterfactual-EBITDA-delta + per-canonical-FBC-per-unit-per-driver-realized-vs-counterfactual-revenue-delta + per-canonical-FBC-per-unit-per-driver-realized-vs-counterfactual-cost-delta + per-canonical-FBC-per-unit-per-driver-realized-vs-counterfactual-margin-delta + per-canonical-FBC-per-unit-per-driver-control-vs-treatment-incrementality-realized + per-canonical-FBC-per-unit-per-driver-geo-experiment-realized-validation + per-canonical-FBC-per-unit-per-driver-DAG-edge-recalibration + per-canonical-FBC-per-unit-per-driver-Bayesian-prior-recalibration + per-canonical-FBC-per-unit-per-driver-CATE-recalibration + per-canonical-FBC-per-unit-per-driver-SCM-DiD-RD-IV-recalibration + per-canonical-FBC-per-unit-per-driver-propensity-score-recalibration + per-canonical-FBC-per-unit-per-driver-doubly-robust-estimator-recalibration + per-canonical-FBC-per-unit-per-driver-TMLE-recalibration + per-canonical-FBC-per-unit-per-driver-sensitivity-analysis-recalibration + per-canonical-FBC-per-unit-per-driver-pattern-learning + per-canonical-FBC-per-unit-per-driver-emerging-driver-detection + per-canonical-FBC-per-unit-per-driver-model-drift-detection + per-canonical-FBC-per-unit-per-driver-model-retraining-trigger.

What does per-unit per-driver cross-skill-handoff + per-territory-analysis-market-scoring-agent-canonical-bundle do?

Per-portfolio per-unit per-canonical-per-unit-per-driver-cross-skill-handoff runs per-portfolio per-canonical-per-unit-per-driver-handoff-to-franchise-performance-correlation (parent commercial pillar at /franchise-performance-correlation) + per-canonical-per-unit-per-driver-handoff-to-territory-analysis-market-scoring (parent agent) + per-canonical-per-unit-per-driver-handoff-to-site-selection-software (sibling commercial at /site-selection-software) + per-canonical-per-unit-per-driver-handoff-to-market-opportunity-analysis (sibling commercial at /market-opportunity-analysis) + per-canonical-per-unit-per-driver-handoff-to-competitor-mapping (sibling commercial at /competitor-mapping) + per-canonical-per-unit-per-driver-handoff-to-franchise-territory-mapping (sibling commercial at /franchise-territory-mapping) + per-canonical-per-unit-per-driver-handoff-to-franchise-registration-states (sibling commercial at /franchise-registration-states) + per-canonical-per-unit-per-driver-handoff-to-peer-cohort-benchmarking (sibling commercial at /peer-cohort-benchmarking) + per-canonical-per-unit-per-driver-handoff-to-franchisee-accountability-dashboard (sibling commercial at /franchisee-accountability-dashboard) + per-canonical-per-unit-per-driver-handoff-to-revenue-drivers-analysis (sibling commercial at /revenue-drivers-analysis) + per-canonical-per-unit-per-driver-handoff-to-benchmark-report (sibling commercial at /benchmark-report) + per-canonical-per-unit-per-driver-handoff-to-per-prospect-franchise-territory-analysis-pipeline-build-pillar (sibling build-pillar at /how-to-build-per-prospect-franchise-territory-analysis-pipeline) + per-canonical-per-unit-per-driver-handoff-to-continuous-per-market-scoring-build-pillar (sibling build-pillar at /how-to-build-continuous-per-market-scoring) + per-canonical-per-unit-per-driver-handoff-to-fdd-territorial-protection-gating-build-pillar (sibling build-pillar at /how-to-build-fdd-territorial-protection-gating-for-multi-state-franchise-development) + per-canonical-per-unit-per-driver-handoff-to-competitor-density-territory-mapping-build-pillar (sibling build-pillar at /how-to-build-competitor-density-territory-mapping-for-franchise-development) + per-canonical-per-unit-per-driver-handoff-to-continuous-foot-traffic-ingestion-build-pillar (sibling build-pillar at /how-to-build-continuous-foot-traffic-ingestion-for-franchise-development) + per-canonical-per-unit-per-driver-handoff-to-per-franchisee-accountability-views-build-pillar (sibling build-pillar at /how-to-build-per-franchisee-accountability-views) + per-canonical-per-unit-per-driver-handoff-to-cohort-framed-benchmark-reports-build-pillar (sibling build-pillar at /how-to-build-cohort-framed-benchmark-reports-at-multi-location-scale) + per-canonical-per-unit-per-driver-handoff-to-peer-cohort-computation-build-pillar (sibling build-pillar at /how-to-build-peer-cohort-computation-at-multi-location-scale) + per-canonical-per-unit-per-driver-handoff-to-marketing-forecasting-build-pillar (sibling build-pillar at /how-to-architect-marketing-forecasting-across-9-streams) + per-canonical-per-unit-per-driver-handoff-to-per-location-multi-model-attribution-build-pillar (sibling build-pillar at /how-to-build-per-location-multi-model-attribution-at-multi-store-scale) + per-canonical-per-unit-per-driver-handoff-to-per-location-mmm-build-pillar (sibling build-pillar at /how-to-build-per-location-mmm-for-multi-store-marketing-budget-allocation) + per-canonical-per-unit-per-driver-handoff-to-per-location-mmm-driven-budget-recommendation-engine-build-pillar (sibling build-pillar at /how-to-build-per-location-mmm-driven-budget-recommendation-engine) + per-canonical-per-unit-per-driver-handoff-to-root-cause-attribution-sketch-build-pillar (sibling build-pillar at /how-to-build-root-cause-attribution-sketch-for-multi-location-kpi-diagnosis) + per-canonical-per-unit-per-driver-handoff-to-quarterly-board-deck-generation (sibling commercial at /quarterly-board-deck-generation) + per-canonical-per-unit-per-driver-handoff-to-pe-sponsor-lp-letter-drafting-build-pillar (sibling build-pillar at /how-to-build-pe-sponsor-lp-letter-drafting-at-multi-portfolio-scale) + per-canonical-per-unit-per-driver-handoff-to-routing-audit-trail-build-pillar (sibling build-pillar at /how-to-build-routing-audit-trails-for-ai-output-governance) + per-canonical-per-unit-per-driver-handoff-to-versioned-history-regulatory-defense-build-pillar (sibling build-pillar at /how-to-build-versioned-history-regulatory-defense-for-multi-location-operators). Per-territory-analysis-market-scoring-agent-canonical-bundle integrates the franchise-system-performance-correlation skill with sibling skills on the same territory-analysis-market-scoring agent: per-canonical-franchise-system-performance-correlation (this skill) + per-canonical-site-selection-software + per-canonical-market-opportunity-analysis + per-canonical-competitor-mapping + per-canonical-franchise-territory-mapping + per-canonical-franchise-registration-states + per-canonical-foot-traffic-data-ingestion + per-canonical-demographic-data-ingestion + per-canonical-firmographic-enrichment + per-canonical-per-location-demographics.

What does per-unit per-driver audit-trail + per-canonical-end-to-end-SLA do?

Per-portfolio per-unit per-canonical-audit-trail runs per-portfolio per-canonical-per-unit-per-driver-canonical-audit-record (per-decomposition-run-ID + per-banner-pointer + per-unit-pointer + per-37-canonical-driver-snapshot + per-DAG-causal-graph-snapshot + per-Pearl-do-calculus-snapshot + per-back-door-front-door-instrumental-variable-mediator-collider-confounder-snapshot + per-Bayesian-hierarchical-multi-level-snapshot (Stan + PyMC + NumPyro + bambi + brms-R) + per-causal-uplift-CATE-snapshot (T-learner + S-learner + X-learner + DR-learner + Causal-Forest + BART + CausalML + DoubleML + EconML) + per-Synthetic-Control-Method-Augmented-Synthetic-Control-snapshot + per-Difference-in-Differences-Triple-Differences-event-study-snapshot + per-Regression-Discontinuity-Instrumental-Variable-2SLS-snapshot + per-Heckman-correction-propensity-score-matching-inverse-propensity-weighting-doubly-robust-snapshot + per-G-computation-targeted-maximum-likelihood-TMLE-snapshot + per-multi-LLM-ensemble-snapshot + per-causal-confidence-tier-snapshot + per-causal-explainability-snapshot + per-sensitivity-analysis-snapshot (Rosenbaum-bounds + E-value + tipping-point + prior-sensitivity) + per-counterfactual-scenario-snapshot (driver-up-1-stddev + driver-up-2-stddev + driver-down-1-stddev + driver-down-2-stddev + driver-to-system-median + driver-to-top-decile + driver-to-bottom-decile + driver-to-target-bucket) + per-counterfactual-EBITDA-revenue-cost-margin-delta-snapshot + per-counterfactual-Bayesian-posterior-Monte-Carlo-bootstrap-quantile-regression-prediction-interval-snapshot + per-counterfactual-confidence-tier-snapshot + per-counterfactual-rank-aggregation-Borda-Condorcet-snapshot + per-counterfactual-driver-importance-SHAP-LIME-PFI-snapshot + per-counterfactual-driver-uplift-ranking-snapshot + per-counterfactual-intervention-cost-vs-EBITDA-uplift-snapshot + per-counterfactual-ROI-IRR-snapshot + per-FDD-Item-19-FPR-substantiation-snapshot (bucket + time-window + cohort-inclusion + cohort-exclusion + document-hash + source-of-record) + per-FDD-Item-12-territorial-protection-snapshot + per-FDD-Item-17-renewal-termination-transfer-snapshot + per-state-FRR-30-state-snapshot + per-FTC-substantiation-doctrine-snapshot + per-FTC-MARS-snapshot + per-FTC-Franchise-Rule-snapshot + per-FINRA-2210-snapshot + per-SEC-Reg-S-K-snapshot + per-SOX-Section-302-Section-404-snapshot + per-CFPB-UDAAP-snapshot + per-Robinson-Patman-snapshot + per-Lanham-Act-snapshot + per-state-business-opportunity-disclosure-snapshot + per-state-investment-disclosure-snapshot + per-CCPA-CPRA-snapshot + per-GDPR-snapshot + per-LGPD-snapshot + per-DPDP-snapshot + per-PIPEDA-snapshot + per-EU-AI-Act-Article-13-Article-14-Article-15-snapshot + per-NIST-AI-RMF-snapshot + per-ISO-42001-snapshot + per-OPA-Cedar-Casbin-Cerbos-Oso-policy-snapshot + per-compliance-confidence-tier-snapshot + per-realized-vs-counterfactual-EBITDA-delta-snapshot + per-realized-vs-counterfactual-revenue-cost-margin-delta-snapshot + per-control-vs-treatment-incrementality-realized-snapshot + per-geo-experiment-realized-validation-snapshot + per-DAG-edge-recalibration-snapshot + per-Bayesian-prior-recalibration-snapshot + per-CATE-recalibration-snapshot + per-SCM-DiD-RD-IV-recalibration-snapshot + per-propensity-score-doubly-robust-TMLE-recalibration-snapshot + per-sensitivity-analysis-recalibration-snapshot + per-pattern-learning-snapshot + per-emerging-driver-detection-snapshot + per-model-drift-detection-snapshot + per-model-retraining-trigger-snapshot + per-canonical-audit-record) + per-canonical-FDD-Item-19-FPR-substantiation + per-canonical-FDD-Item-12-Item-17 + per-canonical-state-FRR + per-canonical-FTC-substantiation + per-canonical-FTC-MARS + per-canonical-FTC-Franchise-Rule + per-canonical-FINRA-2210 + per-canonical-SEC-Reg-S-K + per-canonical-SOX-Section-302-Section-404 + per-canonical-CFPB-UDAAP + per-canonical-Robinson-Patman + per-canonical-Lanham + per-canonical-CCPA-CPRA-DSAR + per-canonical-GDPR-DPIA + per-canonical-LGPD-ANPD + per-canonical-DPDP-India + per-canonical-PIPEDA-OPC + per-canonical-EU-AI-Act-Article-13-Article-14-Article-15 + per-canonical-NIST-AI-RMF + per-canonical-ISO-42001 + per-canonical-SOC-2-Type-II + per-canonical-immutable-WORM-storage + per-canonical-7-year-IRS-tax-retention + per-canonical-7-year-FTC-substantiation-retention + per-canonical-7-year-FDD-retention + per-canonical-SEC-7-year-revenue-recognition-retention. Per-canonical-end-to-end-SLA runs per-canonical-per-unit-per-driver-data-ingestion-to-DAG-construction-to-causal-model-stack-fit-to-counterfactual-simulation-to-sensitivity-analysis-to-compliance-gate-to-multi-LLM-pre-publish-to-FBC-SLA canonical-SLA.

Engage the territory-analysis-market-scoring agent

Per-portfolio per-banner per-unit per-canonical-driver-pointer + per-canonical-per-unit-per-driver-causal-model-stack-spec + per-canonical-per-unit-per-driver-counterfactual-simulation-spec + per-canonical-per-unit-per-driver-compliance-gate-spec + per-canonical-per-unit-per-driver-FBC-feedback-loop + per-canonical-per-unit-per-driver-audit-trail + per-portfolio-audit-trail shipped as the orchestration layer above your existing per-BI-dashboard-vendor + per-franchise-system-performance-vendor + per-causal-inference-tooling-vendor + per-FDD-compliance-vendor primitive.