Meta · structural · Load-bearing · GTM World Model v3.3
T27
Evidence boundary
See the scoped evidence_register and qualification_protocol. Structural plausibility, descriptive surveys and laboratory benchmarks do not alone identify a local commercial policy effect.
Why this claim matters
See the scoped evidence_register and qualification_protocol. Structural plausibility, descriptive surveys and laboratory benchmarks do not alone identify a local commercial policy effect.
The mechanism
The recurring-value walk is one convention-bound ledger among business-kind-specific stocks, revenue, contribution and cash. Hybrid kinds and simultaneous constraints require explicit timing and denominators. Separate customer stock from recurring revenue, usage, backlog, installed assets and recognized/cash value. Expansion raises revenue without adding logos. Hybrid kinds need distinct timing and contribution ledgers. The model already contains this generalization; the original spine should obey it.
Evidence for
- Wei, Bencina, Nguyen, Ribeiro and Zelditch — From Prediction to Incrementality — 10 August 2026. Full preprint. Field intervention; full methods/limitations inspected. Eight-week member-randomized 50/50 LinkedIn comparison of causal scoring, exploration, constrained allocation and withholding versus propensity targeting, with a matched delivery envelope. The reported value lift concerns the complete policy. Static audience definitions and segment lineage protect assignment. Source: https://arxiv.org/html/2608.10182v1
- Li, Yuan, Yang, Chen and Song — Attributed But Not Incremental — 25 June 2026. Full preprint. Production calibration against 18 rounds of channel experiments across up to eight TikTok markets, with rolling forward evaluation and daily hierarchical correction. Source: https://arxiv.org/html/2606.26690v1
- Heusch — Structural Estimation of MMM Parameters from Geo Experiments — 21 August, revised 7 September 2026. Full v2. Synthetic structural study: 156-week fictional retailer, three channels, four four-week go-dark tests plus cooldown. Uses time paths to estimate effectiveness, carryover and saturation. Source: https://arxiv.org/html/2608.21128v2
- Filippou, Quach and Jha — Pseudo Incrementality Testing — 16 September 2026. Full preprint. Changepoint detection plus counterfactual forecasting, two GeoLift benchmarks and synthetic stress tests. Only one of three nominal 90% intervals covers truth in the stress test; weak controls yield large bias. Source: https://arxiv.org/html/2609.18257v1
- Ningyin Xu — Reference Dependent Pricing — deposited 16 July 2026. Repository and dissertation. Full PDF inspected. Randomized base-price histories across 818 food-vending locations during 2024, followed by equal current-price discount conditions in 2025. Source: https://knowledge.uchicago.edu/records/8v3yz-xrr12
Evidence against / limitations
- No fitted local coefficient or complete-policy deployment evidence is supplied.
- one platform, short experiment, no isolation of individual components, no autonomous B2B seller economics. C3/C5/C6.
- normalized confidential errors; child-level credit is allocated rather than independently causally identified. A later cannibalization decline is before/after deployment evidence, not a randomized business-impact estimate. Complementarity and spillover remain limitations. C3/C5.
- stable parameters, specified adstock/saturation, no spillover and tested spend support. It is not an empirical estimate of SaaS brand decay. C3/C5.
So what: the operator implication
Declare eligible population/business kind, target and denominator, pre-action information, policy/comparator/assignment, outcome horizon and coverage, cost/authority/configuration, uncertainty, causal assumptions, falsifier and expiry. Current coefficients/qualification remain unmeasured unless explicitly linked to local evidence.
Related theses
All theses
How to cite this
@misc{shalvi_gtm_thesis_t27_2026,
author = {Singh, Shalvi},
title = {GTM World Model Thesis T27},
year = {2026},
url = {https://shalvisingh.com/gtm/theses/t27}
} Singh, Shalvi. "GTM World Model Thesis T27." shalvisingh.com, 2026. https://shalvisingh.com/gtm/theses/t27