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: data/companies/train.csv
  - config_name: growth_metrics
    data_files:
      - split: train
        path: data/growth_metrics/train.csv
  - config_name: channel_performance
    data_files:
      - split: train
        path: data/channel_performance/train.csv
  - config_name: customer_segments
    data_files:
      - split: train
        path: data/customer_segments/train.csv
  - config_name: metric_definitions
    data_files:
      - split: train
        path: data/metric_definitions/train.csv
  - config_name: dashboard_suggestions
    data_files:
      - split: train
        path: data/dashboard_suggestions/train.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 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

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 — ~25K records, one subject, 72-hour delivery.

Full pack + enterprise scope:

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 — available via Datarade / Monda.

Citation

@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}
}