Point all canonical links at www.solsticestudio.ai/datasets

README.md

@@ -1,182 +1,181 @@
----
-license: cc-by-4.0
-task_categories:
-  - tabular-classification
-  - tabular-regression
-  - time-series-forecasting
-language:
-  - en
-tags:
-  - synthetic
-  - saas
-  - business-intelligence
-  - analytics
-  - dashboards
-  - startup
-  - growth
-  - mrr
-  - cac
-  - ltv
-  - churn
-  - marketing
-  - tabular
-pretty_name: Solstice SaaS Growth Pack
-size_categories:
-  - 1K<n<10K
-configs:
-  - config_name: companies
-    data_files:
-      - split: train
-        path: companies.csv
-  - config_name: growth_metrics
-    data_files:
-      - split: train
-        path: growth_metrics.csv
-  - config_name: channel_performance
-    data_files:
-      - split: train
-        path: channel_performance.csv
-  - config_name: customer_segments
-    data_files:
-      - split: train
-        path: customer_segments.csv
-  - config_name: metric_definitions
-    data_files:
-      - split: train
-        path: metric_definitions.csv
-  - config_name: dashboard_suggestions
-    data_files:
-      - split: train
-        path: dashboard_suggestions.csv
----
-
-# Solstice SaaS Growth Pack (Sample)
-
-**A dashboard-ready synthetic SaaS metrics dataset.** Import the 6 CSVs straight into any BI tool and have a credible SaaS growth dashboard in under 10 minutes — no cleanup, no modeling.
-
-Built by [Solstice AI Studio](https://www.solsticestudio.ai) as a free sample of a larger commercial pack. 100% synthetic — no real company, customer, or personal data.
-
-## What's in the box
-
-| File | Rows | Grain | Purpose |
-|---|---|---|---|
-| `companies.csv` | 6 | company | Master dimension — 6 synthetic startups spanning 6 distinct growth narratives |
-| `growth_metrics.csv` | 540 | date × company | Daily revenue, MRR, customer counts, CAC, LTV, churn |
-| `channel_performance.csv` | 3,780 | date × company × channel | Marketing channel impressions, clicks, conversions, cost, attribution |
-| `customer_segments.csv` | 18 | company × segment | SMB / Mid-Market / Enterprise unit economics |
-| `metric_definitions.csv` | 7 | metric | Self-documenting formulas |
-| `dashboard_suggestions.csv` | 8 | chart | 4 starter dashboards with suggested axes |
-
-**Period:** 90 days. **Currency:** USD. **Dates:** ISO-8601 (`YYYY-MM-DD`). **Join key:** `company_id`.
-
-## Growth narratives included
-
-Each company embodies a distinct SaaS growth profile — so dashboards show realistic variance instead of random noise:
-
-- **Steady PLG** — strong SEO/content/referral, efficient long-term growth
-- **Paid accelerator** — aggressive paid acquisition, higher CAC
-- **Enterprise lumpy** — quarter-end deal spikes, lower churn
-- **Seasonal B2C** — demand seasonality and periodic swings
-- **Churn recovery** — visible churn event followed by stabilization
-- **Capital infusion** — growth acceleration after mid-period expansion
-
-## Why this dataset
-
-**Clean joins, zero cleanup.** Stable IDs, one clear grain per table, no null-heavy columns, no ambiguous foreign keys. Import order: companies → growth_metrics → channel_performance → customer_segments.
-
-**Pre-calculated SaaS metrics.** MRR, CAC, LTV, churn rate, conversion rate, CTR — all included, formulas documented in `metric_definitions.csv`. Users get to insight on first import.
-
-**Cross-table consistency.** Daily channel `conversions` sum exactly to `new_customers`. Daily channel `cost` sums exactly to `marketing_spend`. Active customer counts respect `prev + new − churned = active` on every row.
-
-**Realistic magnitudes.** Daily revenue reconciles to MRR over a month. ARR, LTV:CAC, and payback periods sit in credible SaaS ranges.
-
-## Use cases
-
-- Instant demo dashboards for BI / analytics tools
-- User onboarding & first-value experiences
-- SaaS metrics dashboard templates
-- Product showcase & sales enablement
-- Analytics workflow testing (imports, joins, filters)
-- Startup & growth analytics education
-- Customer success & retention analysis
-- Marketing performance & attribution analysis
-
-## Quick start
-
-```
-companies.csv           → dimension table
-growth_metrics.csv      → primary fact (time × company)
-channel_performance.csv → secondary fact (time × company × channel)
-customer_segments.csv   → segment roll-up
-```
-
-Join key is `company_id`. All dates are ISO-8601. All currency is USD.
-
-**Suggested first dashboard: SaaS Growth Overview**
-- Line chart: `date` × `revenue`, filter by `company_name`
-- Dual-axis line: `date` × (`mrr`, `active_customers`), filter by `company_name`
-
-Full dashboard recipes in `dashboard_suggestions.csv`.
-
-### Load with pandas
-
-```python
-import pandas as pd
-
-companies = pd.read_csv("companies.csv")
-growth = pd.read_csv("growth_metrics.csv", parse_dates=["date"])
-channels = pd.read_csv("channel_performance.csv", parse_dates=["date"])
-segments = pd.read_csv("customer_segments.csv")
-
-# Monthly MRR per company
-monthly_mrr = (
-    growth.assign(month=growth["date"].dt.to_period("M"))
-          .groupby(["company_name", "month"])["mrr"].mean()
-          .reset_index()
-)
-```
-
-## Data quality checklist
-
-- All foreign keys resolve (0 orphans)
-- No nulls in required columns
-- No negative revenue, spend, or counts
-- Derived metrics reproduce from inputs (mrr, cac, ltv, churn_rate, conversion_rate, click_through_rate)
-- Continuity invariant holds: `prev_active + new − churned = active` on every row
-- `impressions ≥ clicks ≥ conversions` on every channel row
-
-## Schema
-
-See `SCHEMA.md` for full column definitions, join model, metric formulas, and synthetic profile documentation.
-
-## License
-
-Released under **CC BY 4.0** — use freely for demos, research, internal tooling, education, and commercial templates. Attribution appreciated.
-
-Synthetic data only — no real company, customer, or personal information.
-
-## Get the full pack
-
-This repo is a **6-company, 90-day sample**. The production pack scales to any company count (12 / 50 / 500+), any date range (1 quarter / 1 year / 3 years), any seed for reproducibility, custom growth-profile mixes, and custom industry / channel configurations.
-
-**Self-serve (Stripe checkout):**
-- [**Sample Scale tier — $5,000**](https://buy.stripe.com/7sY5kD2j85QTfSb5lfeEo03) — ~25K records, one subject, 72-hour delivery.
-
-**Full pack + enterprise scope:**
-- [www.solsticestudio.ai/datasets](https://www.solsticestudio.ai/datasets) — per-SKU pricing across Starter / Professional / Enterprise tiers.
-- [www.solsticestudio.ai/datasets](https://www.solsticestudio.ai/contact) — discovery call for custom seeds, industry / channel configurations, or BI-vendor onboarding partnerships.
-
-**Procurement catalog:**
-- [SolsticeAI Data Storefront](https://solsticeai.mydatastorefront.com) — available via Datarade / Monda.
-
-## Citation
-
-```bibtex
-@dataset{solstice_saas_growth_pack_2026,
-  title        = {Solstice SaaS Growth Pack (Sample)},
-  author       = {Solstice AI Studio},
-  year         = {2026},
-  publisher    = {Hugging Face},
-  url          = {https://huggingface.co/datasets/solsticestudioai/saas-growth-pack}
-}
-```
+---
+license: cc-by-4.0
+task_categories:
+  - tabular-classification
+  - tabular-regression
+  - time-series-forecasting
+language:
+  - en
+tags:
+  - synthetic
+  - saas
+  - business-intelligence
+  - analytics
+  - dashboards
+  - startup
+  - growth
+  - mrr
+  - cac
+  - ltv
+  - churn
+  - marketing
+  - tabular
+pretty_name: Solstice SaaS Growth Pack
+size_categories:
+  - 1K<n<10K
+configs:
+  - config_name: companies
+    data_files:
+      - split: train
+        path: companies.csv
+  - config_name: growth_metrics
+    data_files:
+      - split: train
+        path: growth_metrics.csv
+  - config_name: channel_performance
+    data_files:
+      - split: train
+        path: channel_performance.csv
+  - config_name: customer_segments
+    data_files:
+      - split: train
+        path: customer_segments.csv
+  - config_name: metric_definitions
+    data_files:
+      - split: train
+        path: metric_definitions.csv
+  - config_name: dashboard_suggestions
+    data_files:
+      - split: train
+        path: dashboard_suggestions.csv
+---
+
+# Solstice SaaS Growth Pack (Sample)
+
+**A dashboard-ready synthetic SaaS metrics dataset.** Import the 6 CSVs straight into any BI tool and have a credible SaaS growth dashboard in under 10 minutes — no cleanup, no modeling.
+
+Built by [Solstice AI Studio](https://www.solsticestudio.ai/datasets) as a free sample of a larger commercial pack. 100% synthetic — no real company, customer, or personal data.
+
+## What's in the box
+
+| File | Rows | Grain | Purpose |
+|---|---|---|---|
+| `companies.csv` | 6 | company | Master dimension — 6 synthetic startups spanning 6 distinct growth narratives |
+| `growth_metrics.csv` | 540 | date × company | Daily revenue, MRR, customer counts, CAC, LTV, churn |
+| `channel_performance.csv` | 3,780 | date × company × channel | Marketing channel impressions, clicks, conversions, cost, attribution |
+| `customer_segments.csv` | 18 | company × segment | SMB / Mid-Market / Enterprise unit economics |
+| `metric_definitions.csv` | 7 | metric | Self-documenting formulas |
+| `dashboard_suggestions.csv` | 8 | chart | 4 starter dashboards with suggested axes |
+
+**Period:** 90 days. **Currency:** USD. **Dates:** ISO-8601 (`YYYY-MM-DD`). **Join key:** `company_id`.
+
+## Growth narratives included
+
+Each company embodies a distinct SaaS growth profile — so dashboards show realistic variance instead of random noise:
+
+- **Steady PLG** — strong SEO/content/referral, efficient long-term growth
+- **Paid accelerator** — aggressive paid acquisition, higher CAC
+- **Enterprise lumpy** — quarter-end deal spikes, lower churn
+- **Seasonal B2C** — demand seasonality and periodic swings
+- **Churn recovery** — visible churn event followed by stabilization
+- **Capital infusion** — growth acceleration after mid-period expansion
+
+## Why this dataset
+
+**Clean joins, zero cleanup.** Stable IDs, one clear grain per table, no null-heavy columns, no ambiguous foreign keys. Import order: companies → growth_metrics → channel_performance → customer_segments.
+
+**Pre-calculated SaaS metrics.** MRR, CAC, LTV, churn rate, conversion rate, CTR — all included, formulas documented in `metric_definitions.csv`. Users get to insight on first import.
+
+**Cross-table consistency.** Daily channel `conversions` sum exactly to `new_customers`. Daily channel `cost` sums exactly to `marketing_spend`. Active customer counts respect `prev + new − churned = active` on every row.
+
+**Realistic magnitudes.** Daily revenue reconciles to MRR over a month. ARR, LTV:CAC, and payback periods sit in credible SaaS ranges.
+
+## Use cases
+
+- Instant demo dashboards for BI / analytics tools
+- User onboarding & first-value experiences
+- SaaS metrics dashboard templates
+- Product showcase & sales enablement
+- Analytics workflow testing (imports, joins, filters)
+- Startup & growth analytics education
+- Customer success & retention analysis
+- Marketing performance & attribution analysis
+
+## Quick start
+
+```
+companies.csv           → dimension table
+growth_metrics.csv      → primary fact (time × company)
+channel_performance.csv → secondary fact (time × company × channel)
+customer_segments.csv   → segment roll-up
+```
+
+Join key is `company_id`. All dates are ISO-8601. All currency is USD.
+
+**Suggested first dashboard: SaaS Growth Overview**
+- Line chart: `date` × `revenue`, filter by `company_name`
+- Dual-axis line: `date` × (`mrr`, `active_customers`), filter by `company_name`
+
+Full dashboard recipes in `dashboard_suggestions.csv`.
+
+### Load with pandas
+
+```python
+import pandas as pd
+
+companies = pd.read_csv("companies.csv")
+growth = pd.read_csv("growth_metrics.csv", parse_dates=["date"])
+channels = pd.read_csv("channel_performance.csv", parse_dates=["date"])
+segments = pd.read_csv("customer_segments.csv")
+
+# Monthly MRR per company
+monthly_mrr = (
+    growth.assign(month=growth["date"].dt.to_period("M"))
+          .groupby(["company_name", "month"])["mrr"].mean()
+          .reset_index()
+)
+```
+
+## Data quality checklist
+
+- All foreign keys resolve (0 orphans)
+- No nulls in required columns
+- No negative revenue, spend, or counts
+- Derived metrics reproduce from inputs (mrr, cac, ltv, churn_rate, conversion_rate, click_through_rate)
+- Continuity invariant holds: `prev_active + new − churned = active` on every row
+- `impressions ≥ clicks ≥ conversions` on every channel row
+
+## Schema
+
+See `SCHEMA.md` for full column definitions, join model, metric formulas, and synthetic profile documentation.
+
+## License
+
+Released under **CC BY 4.0** — use freely for demos, research, internal tooling, education, and commercial templates. Attribution appreciated.
+
+Synthetic data only — no real company, customer, or personal information.
+
+## Get the full pack
+
+This repo is a **6-company, 90-day sample**. The production pack scales to any company count (12 / 50 / 500+), any date range (1 quarter / 1 year / 3 years), any seed for reproducibility, custom growth-profile mixes, and custom industry / channel configurations.
+
+**Self-serve (Stripe checkout):**
+- [**Sample Scale tier — $5,000**](https://buy.stripe.com/7sY5kD2j85QTfSb5lfeEo03) — ~25K records, one subject, 72-hour delivery.
+
+**Full pack + enterprise scope:**
+- [www.solsticestudio.ai/datasets](https://www.solsticestudio.ai/datasets) — per-SKU pricing across Starter / Professional / Enterprise tiers, plus commercial licensing, custom generation, and buyer-specific variants.
+
+**Procurement catalog:**
+- [SolsticeAI Data Storefront](https://solsticeai.mydatastorefront.com) — available via Datarade / Monda.
+
+## Citation
+
+```bibtex
+@dataset{solstice_saas_growth_pack_2026,
+  title        = {Solstice SaaS Growth Pack (Sample)},
+  author       = {Solstice AI Studio},
+  year         = {2026},
+  publisher    = {Hugging Face},
+  url          = {https://huggingface.co/datasets/solsticestudioai/saas-growth-pack}
+}
+```