Audit
We audit your data stack for discrepancies and tell you what's working, what's broken, and what to fix first.
Learn more about audits01 - Audit
We fix the analytics you set up but never got answers from
Datalyze is an analytics & growth partner for Seed to Series C companies. We fix your analytics setup, help you regain trust in your data, unify data from multiple sources, and uncover the insights hiding in it
150+Companies trust Datalyze
7Industries
100%Job Success on Upwork
What we hear
What Founders ask us, again and again
Our GA4 and Mixpanel numbers don't match
What's usually going onThe tools count users and sessions differently, ad blockers drop client-side events
What we doHow an audit worksWe trace one metric end to end in both tools, find every gap, and fix the tracking so the numbers agree within a margin you can explain.
Revenue in Stripe, our backend and PostHog doesn't line up
What's usually going onRefunds, trials, tax and currency are handled differently in each system.
What we doHow we fix trackingWe reconcile transaction by transaction, move revenue events server-side, and define one revenue number every team uses.
We don't trust our data. Something's off and we don't know why
What's usually going onTracking grew without a plan: renamed events, missing properties, duplicate firing, broken identity merges, dashboards built on the wrong event.
What we doHow an audit worksA full audit of your stack that tells you what's working, what's broken, and what to fix first.
We want help setting up Posthog
What's usually going onEvent tracking has no structure, unnecessary events, duplicate firing, no naming convention, identify merge broken.
What we doHow we set tools upBuild a detailed tracking plan for your product, implement the events, validate each event, before taking it live.
We have the data, but need an expert to show us how users behave and where they drop off
What's usually going onDashboards show what happened, not why. Nobody on the team has the time to dig into funnels and cohorts.
What we doHow reporting & analysis worksFunnel, retention and cohort analysis to identify why users drop off, and what can we change to improve metrics.
We want one view of the user across our product
What's usually going onAds, website, product, CRM and billing each hold part of the story, with nothing shared between them.
What we doHow we unify dataWe connect your tools, stitch identities together, and model one journey from first touch to revenue.
Recognise your team in one of these?
Book a callVoices
What teams say after working with us
Datalyze set up PostHog for us, built data models on top of our backend database, and connected it all into one view of the user journey from marketing to product to revenue. For the first time we can see which customer segments convert, which don't, and where we're losing people. We're continuing to work with them and I'd recommend them to anyone who needs help with their data.
Ansh has been a fantastic partner on our BI work. He built much of our Amplitude setup and consistently delivers accurate, trustworthy data. More importantly, he turns that data into clear, actionable insights that drive real decisions. Highly reliable and easy to work with.
Ansh partnered with our fintech in a very short time-frame to set up advanced tracking and integrated data and analytics that align with every stage of our customer journey. His work has already helped us drive product growth and understand the impact of our marketing and user behaviour. Ansh is incredibly understanding, flexible, and easy to work with. He delivers smart, practical solutions and is a true professional, always taking the time to understand our unique business and provide meaningful tools, insights, and results. We're excited to continue partnering with him.
The Datalyze Method
How we fix analytics?
Five stages: Audit, Setup, Unify, Reporting & analysis, and an accurate AI layer
Setup & Fix
We fix the issues, or set tools up from scratch with the right structure, and make sure everything works as expected.
Learn more about setup02 - Setup
Unify data across sources
We connect all your tools so you can understand the entire user journey, and not just parts of it.
Learn more about unifying data03 - Unify
Reporting & analysis
Ongoing help with reporting on metrics, analysing user behaviour, and turning it into insights you can act on.
Learn more about reporting & analysis04 - Reporting & analysis
Accurate AI layer
We model your unified data so AI agents and MCP connectors can use it, with a semantic layer that keeps them from giving inaccurate answers.
Learn more about the AI layer05 - Accurate AI layer
More voices
What people say about us
Results
Results we've produced
2×paid conversion rate
FRAI had no clarity on which user segments converted or why others dropped off. We ran deep behavioural analysis and designed the A/B tests, and paid conversion doubled, with a repeatable experimentation process left behind.
Read the case study−93%provider outages
CRED's payment routing was leaking money on both success rate and cost. We built a linear-programming routing engine plus a real-time outage-detection model, taking success rate up 7%, cost down 12%, and provider outages down 93% month over month.
Read the case study+52ptonboarding completion
Most VideoTap signups never reached the dashboard. We rebuilt the upload UX from 4 steps to 2, taking onboarding completion from 28% to 80% and activation from 7% to 19%.
Read the case studyThese are real results from teams like yours.
See how we did itTech stack
What tools do we work with
- 01
Acquire & engage
Where users come from and how you reach them again
- 02
Collect
Tracking on your site and app
- 03
Product analytics
How people use the product, and where they drop off
Partner
Partner
- 04
Revenue
Billing and subscription data
- 05
Pipelines & modelling
Moving data into one place and shaping it
- 06
Warehouse
The single source of truth
- 07
Report & activate
Dashboards, and syncing insights back to your tools
- 08
AI layer
Accurate answers from AI, on top of modelled data
Questions
Frequently asked
How much does Datalyze cost?
The cost depends on the complexity of your product, and scope of the project. We do one-time projects, and monthly retainers.
How long until we see results?
Most teams see their first actionable insights within 2 to 3 weeks of kickoff.
How fast can you actually start?
Within a day of kickoff. We don't need a month to learn your stack or a week of onboarding meetings. Share access and we're auditing your data by tomorrow.
Why not just hire a full-time analyst?
A full-time analyst costs $100,000 to $150,000 loaded, takes 3 to 6 months to ramp, and brings experience from one or two companies. Datalyze brings senior operators who've seen the patterns across 150+ startups, starts within a day, and costs a fraction of a full-time salary. When you're ready for that hire, they'll inherit a clean, documented foundation instead of the mess they'd normally spend their first six months untangling.
We already have analytics tools. Why do we need you?
The tool is rarely the problem. The implementation is. Whether you're running Mixpanel, Amplitude, PostHog, BigQuery, Snowflake, or some combination of all of them, most setups we audit have 20 to 40% of events, models, or pipelines that are misconfigured, missing, or quietly broken. Your tools work fine. The data flowing through them doesn't. We fix the foundation across your whole stack, then make it actually useful for decisions.