How to Analyze Growth Metrics
How to analyze growth metrics starts with identifying which metrics your business tracks as leading vs lagging indicators — revenue growth rate and MRR growth are lagging (they show what already happened), while pipeline coverage, trial signups, and lead volume are leading (they predict what's coming). Analyzing both together gives a complete picture of growth trajectory.
Upload your business data export to Datamimi and get growth rate, MoM trends, and leading indicator summaries in one session.
Drop your file in and ask a question — no account needed.
Upload your spreadsheet.xlsx .xls .csv — free to try, no accountOr start with
What this export contains
| Date |
| MRR |
| New MRR |
| Expansion MRR |
| Churn MRR |
| Active Users |
| Trial Signups |
| Pipeline Value |
What usually goes wrong with it
MoM growth rate calculation requires aligning current and prior period figures
Month-over-month MRR growth = (Current MRR minus Prior MRR) divided by Prior MRR — but exports that store MRR as a running total require a LAG or OFFSET calculation to get the prior month value.
DataMimi Datamimi computes MoM growth rates using OFFSET-equivalent logic when MRR is stored as a running total, comparing each row to the prior period automatically.
Blended growth masks the components driving it
A 10% MoM growth rate could come from all new customers, all expansion, or a mix — the New MRR, Expansion MRR, and Churn MRR columns break this down, but only if they're in the export.
DataMimi It decomposes growth into New MRR, Expansion MRR, and Churn MRR components and shows each as a percentage of total growth for every period.
Leading indicators have different time horizons and require separate trend analysis
Trial signups predict revenue 30-90 days out; pipeline value predicts revenue 60-180 days out. Analyzing them on the same time axis without adjustment produces a misleading correlation.
DataMimi It plots leading and lagging indicators on separate trend axes with configurable time-lag offsets, so you can see whether last quarter's trial signups correlate with this quarter's new MRR.
Common questions
How to analyze growth metrics: what are the key steps?
How to analyze growth metrics: (1) Export MRR by month with New MRR, Expansion MRR, and Churn MRR as separate columns. (2) Add a MoM Growth Rate column using OFFSET to get the prior month value. (3) Decompose each period's growth by component. (4) Export leading indicators (trial signups, pipeline) and align them on a lagged time axis. (5) Track the trend monthly and flag divergences between leading and lagging signals.
How do I calculate month-over-month growth rate in a spreadsheet?
MoM Growth Rate = (Current Month Value minus Prior Month Value) divided by Prior Month Value. In Excel: =(B2-B1)/B1 where B1 is prior month and B2 is current month. If your data is a running total, use OFFSET to get the prior month value. Express the result as a percentage.
What is a good monthly growth rate for an early-stage SaaS company?
Early-stage SaaS companies under $1M ARR often target 10-20% MoM growth. Post-PMF growth of 5-10% MoM in the $1M-$10M ARR range is strong. Above $10M ARR, 3-5% MoM is excellent. T2D3 (triple-triple-double-double-double) describes the aspirational enterprise SaaS growth trajectory.
What does Datamimi cost?
Free plan: $0/month, 40 credits, no credit card required. Lite: $9/month, 400 credits. Starter: $24/month, 1,500 credits, up to 3 simultaneous files. Pro: $59/month, 5,000 credits with rollover. Team: $199/month, 20,000 credits, 5 users.
Try it with your own file
DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
Ask about your file