Original data, citable and open.

Empirical loss aversion coefficient λ observed in marketplace pricing experiments, decomposed by transaction stake level. Shows that λ is not constant (textbook 2.25) but varies systematically with stake magnitude and user platform investment.

Sample size

~14.1M total observations across buckets

Collected

2024-06/2025-05

License

CC-BY-4.0 for cited figures

Used in · loss-aversion-asymmetry-digital-marketplaces

Observed cancellation concentration around billing dates across subscription cohorts, decomposed by estimated beta (present-bias) parameter. Shows that 52–68% of annual churn events in consumer subscriptions occur within 7 days of a billing date — consistent with the beta-delta hyperbolic discounting model's prediction of billing-day regret.

Sample size

~2.4M subscriber-months

Collected

2022-01/2024-12

License

CC-BY-4.0 for aggregate figures

Used in · hyperbolic-discounting-subscription-churn

Direct A/B test of ladder-up (start on free or starter, prompt to upgrade) vs ladder-down (start on premium trial, prompt to downgrade) pricing paths across 9 SaaS products. Ladder-down converts 31–58% more paying users, driven by endowment-effect-induced resistance to losing premium features.

Sample size

~182K signups across 9 products

Collected

2024-Q2/Q3

License

CC-BY-4.0 for aggregate figures

Used in · endowment-effect-saas-pricing

Observed relationship between a complementor category's share of platform transaction volume and the probability that the platform enters the category within 24 months. Entry becomes likely once a category exceeds ~8% of platform volume.

Sample size

412 categories across 4 platforms

Collected

2018-2024

License

CC-BY-4.0 for cited figures

Used in · platform-cannibalization-dynamics

Market concentration (top-3 share) and supplier-side multi-homing rates across 40 vertical SaaS markets. Winner-take-most is the exception, not the rule: only 22% of vertical markets exhibit top-3 share above 70%, and those markets also show low multi-homing.

Sample size

40 vertical markets

Collected

2024

License

CC-BY-4.0 for synthesis

Used in · winner-take-most-multi-homing-vertical-saas · two-sided-network-effects-dead

Side-by-side comparison of ROAS reported by multi-touch attribution systems versus ROAS estimated via randomized geo-lift experiments for the same channels and periods. MTA systematically overstates ROAS by 2.4–6.5x, with the gap widest for retargeting and display.

Sample size

6 published studies, 22 channel-study combinations

Collected

2015-2024

License

CC-BY-4.0 for synthesis

Used in · multi-touch-attribution-causal-inference-dag · unified-measurement-architecture-mmm-mta-experimentation

Posterior estimates of adstock half-life and saturation parameters (Hill function) for eight paid-media channels from a privacy-first Bayesian marketing mix model. Reveals that TV has the longest decay (12-week half-life) while search has the shortest (under 1 week).

Sample size

156 weeks × 180 DMAs × 8 channels

Collected

2022-01/2024-12

License

CC-BY-4.0 for cited figures

Used in · marketing-mix-modeling-privacy-first-era · unified-measurement-architecture-mmm-mta-experimentation

Bayesian structural time series (CausalImpact) estimate of the causal lift on organic traffic from launching a dedicated 36-article B2B content program. Non-branded organic captures only 38% of total SEO impact; the remaining 62% flows through branded search and direct traffic.

Sample size

104 weeks, 8 control variables, 6 outcomes

Collected

2023-Q1/2025-Q1

License

CC-BY-4.0 for cited figures

Used in · causal-impact-seo-branded-search · compounding-advantage-content-moats-seo

Acquisition-cohort unit economics for a consumer SaaS business, decomposed by channel. Exposes the aggregation fallacy: the rolled-up 3.1x LTV/CAC hides a channel portfolio with individual ratios ranging from 0.8x (brand-misaligned display) to 8.4x (organic referral), with very different payback profiles.

Sample size

~18,400 customers across 7 channels in Q1 2023 cohort

Collected

2023-01/2025-01

License

CC-BY-4.0 for cited figures

Used in · cohort-based-unit-economics · clv-control-variable-bid-strategies

Head-to-head comparison of decision latency between Bayesian posterior-probability testing and classical frequentist fixed-sample testing across 48 production experiments. Median time-to-decision dropped 36% under Bayesian methodology with no increase in downstream product regret.

Sample size

48 experiments, ~29M visitor-sessions total

Collected

2024-Q1/2025-Q1

License

CC-BY-4.0 for aggregate figures

Used in · bayesian-ab-testing-practice

Fitted hazard ratios for ten covariates on 18-month SaaS subscriber survival. Feature usage depth and onboarding completion dominate (hazard ratios 0.34 and 0.41 respectively); price tier and annual billing have smaller but significant effects. Shows that churn is primarily a product-engagement phenomenon, not a pricing phenomenon.

Sample size

82,450 subscribers, 14,212 churn events

Collected

2023-07/2025-01

License

CC-BY-4.0 for cited figures

Used in · survival-analysis-subscription-businesses

Incremental revenue per session from different ranking objective functions on an e-commerce search result page. Revenue-weighted composite (relevance × margin × projected LTV) outperforms pure relevance ranking by 23% in GMV per session, with neutral effect on relevance perception.

Sample size

~14.2M search sessions, 4 variants

Collected

2024-08/2024-10

License

CC-BY-4.0 for cited figures

Used in · search-ranking-revenue-optimization-l2r

CTR and downstream conversion lift from replacing a matrix-factorization collaborative filter with transformer-based session embeddings (BERT4Rec-style). Transformer embeddings lift CTR by 18–32% across cold-start, returning-user, and category-diverse segments.

Sample size

~6.2M users, 4 segments

Collected

2024-10/2024-12

License

CC-BY-4.0 for cited figures

Used in · transformer-product-embeddings-ecommerce · cold-start-problem-few-shot-learning

Share of customers falling into each of the four uplift quadrants (sure-thing, persuadable, lost-cause, do-not-disturb) for a promotional email campaign, decomposed by customer segment. Only 18% of the audience is genuinely persuadable; 64% of promotional budget is historically wasted on the other three groups.

Sample size

~1.6M customers, 4-segment decomposition

Collected

2024-Q3/Q4

License

CC-BY-4.0 for cited figures

Used in · personalized-promotion-uplift-modeling

CPAS (cost per attention second) computed across 12 digital and traditional media formats from eye-tracking and dwell-inferred attention data. Display banners — the cheapest format on CPM — are the most expensive on attention. Connected-TV and audio invert the traditional CPM-based ROI ranking.

Sample size

~120M measured impressions across 7 studies

Collected

2022-03/2024-11

License

CC-BY-4.0 for cited figures

Used in · attention-economics-cognitive-load-advertising

Relative response (click-through and post-click conversion) as the same creative is shown repeatedly to the same audience, segmented by audience-frequency decile. Fatigue onset is earlier than industry convention assumes — entropy-based detection flags decay 2–4 weeks before CTR collapse.

Sample size

~3.8B impressions, 14 campaigns

Collected

2024-Q2/2025-Q1

License

CC-BY-4.0 for cited figures

Used in · creative-fatigue-detection-entropy-metrics

Traffic per article as a niche content archive grows from 1 to 200+ articles. Per-article traffic COMPOUNDS with archive size (network effect via internal linking + topical authority), not flat-linear — 50th article gets 2.8× the traffic of the 1st article for identical quality.

Sample size

8 sites, 1,420 articles tracked

Collected

2022-01/2025-01

License

CC-BY-4.0 for cited figures

Used in · compounding-advantage-content-moats-seo