| --- |
| 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://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. |
|
|
| ## Full pack |
|
|
| This 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 |
| - custom industry / channel configurations |
|
|
| Contact **[Solstice AI Studio](https://solsticestudio.ai)** for licensing the full pack, custom generation, or BI-vendor onboarding partnerships. |
|
|
| ## 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/justintelligence/saas-growth-pack} |
| } |
| ``` |
|
|
