Your investors asked for growth metrics in two days, and the numbers are buried in spreadsheets you have not opened since you raised. You know your startup runs on data, but there is no data team yet to pull it all together.
getqueryly turns the data you already have into the numbers investors, and you, actually care about. Upload your numbers, ask for any metric in plain English, and get the answer with charts and context, without hiring anyone or learning to query databases.
Every investor meeting starts with the same question: how fast are you growing? getqueryly calculates the growth numbers from your raw data so you walk in with answers instead of estimates. Ask:
The answer comes back as a chart of your growth over time, with the percentage change called out for each period. You will know your growth rate to the decimal instead of quoting the number you vaguely remember from last quarter. Watch the trend over a few months and you will see whether growth is accelerating, flattening, or quietly reversing, which is exactly what a board deck needs.
Acquisition gets the headlines, but retention is what actually predicts whether you survive. getqueryly measures how well you keep the users you already have. Ask:
The response shows how each cohort of signups behaves over time, so you can see whether newer customers stick around as well as early ones. If retention is sliding, that is a product problem, not a growth problem, and now you have the proof to act on it.
Churn is the leak in the bucket, and most founders do not know how big it is. getqueryly measures how many customers you lose and, more importantly, when you lose them. Ask:
You get the churn rate spelled out month by month, split by the dimensions that matter. The pattern often reveals the fix: one plan is a bad fit, or cancellations spike right after a specific milestone, which points straight at onboarding. After you ship a change, ask the same question again and getqueryly shows you whether the leak actually closed.
The business only works if you make money on each customer, and that math needs to be clear before anyone puts more money in. getqueryly calculates the per-customer numbers from your own records. Ask:
The numbers come back clean: what the average customer pays, how long they stay, and what that means for your margins. When the unit economics conversation comes up, you can answer with your own data instead of industry averages.
The most useful startup questions are about groups of customers, not the whole crowd. getqueryly compares groups side by side so you can see what is actually working. Ask:
The comparison shows up as charts that put each group next to the others. One channel might bring ten times the customers but half the retention. With that split visible, you can pour fuel on what actually works.
Here is the whole workflow, end to end:
Ten free analyses per day, no credit card required. Paid tiers are there when you need more.
The old way is a metric you compute by hand an hour before the call, a spreadsheet that only the founding engineer understands, or months of learning to query data yourself while the company grows around you. getqueryly is the shortcut: your numbers answer questions the moment you ask them. You keep building the product, and the data problem disappears.
Your metrics should not live in someone's head. They should answer you when you ask.
New to this? Start with our guide to analyzing your data in plain English, and when you want to present your metrics, getqueryly builds charts straight from your spreadsheets.
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