---


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}


}


```