Find the revenue your data is hiding.

Fix your data. Find your growth.

Datalyze is an analytics & growth partner for startups. We audit your data layer, fix the tracking that's broken, connect your product, marketing, revenue & warehouse tools into one source of truth, and find the growth that was buried.

150+Companies served
14%Avg revenue lift
1-dayKickoff
Before
MixpanelPostHogGA4AmplitudeStripeSegment
After Datalyze
One source of truth
ProductMarketingRevenueRetention

From Seed to Series C. Here are a few teams we've worked with.

B2B SaaSConsumer SaaSWeb3FintechD2C
CRED
AWeber
Silverfort
Final Round AI
Pixis
Coursebox
Uplers
Delightree
AlgoTest
Magma
TermPlus
Kryptos
Superhote
Wellness Coach
Inferless
Sucasa
Copyfy
Foriio
Fincart
Sarvam AI
Kruzee
TrueFoundry
Buildern
Yearn
The Cost

Why doesn't analytics work
move the business?

01 / Money

The money you're already spending wrong

You spent $180K on paid acquisition last quarter. Your marketing dashboard says it drove 400 signups. Your product database says 260. Finance says 310. Nobody can tell you the real CAC.

Real costA CAC you don't actually know and a budget you can't defend.
02 / Team

What your PM did last Tuesday

Your PM wrote SQL in BigQuery on Tuesday, trying to pull cohort retention. Your senior engineer spent Wednesday debugging a tracking event that's been wrong since March. Your head of growth reconciled MRR across Stripe and the warehouse on Sunday. None of them shipped a feature, ran an experiment, or talked to a customer.

Real costSenior people on plumbing, and the product features, customer calls, and experiments that didn't happen because of it.
03 / Growth

The growth lever in plain sight

Your retention dashboard is accurate. It's been accurate for months. Nobody opens it. Six months in, you finally dig and find that users who adopted your March feature retain 40% better than those who didn't. You shipped that feature quietly. The data was sitting there the whole time.

Real costInsights buried in clean data, and the growth you'd already have captured if anyone was looking, every day.

Sound familiar? Let's show you what your data is actually hiding.

Get a free audit
The Datalyze Method

How does Datalyze fix analytics?

Four stages - Foundation, Unification, Visibility, Compounding

Your data becomes trustworthy

We audit your entire data layer - product events, warehouse tables, pipelines, definitions. We fix what's broken. Every team pulls the same number for the same question.

01 - Foundation
events / schema audit
signup_completestandardized
purchase_madename drift
page_viewedmissing user_id
feature_clickedstandardized
session_startedinconsistent props

Your tools start talking to each other

Product analytics, warehouses, pipelines, billing, CRM - we connect and model everything into a single source of truth. One view of your customer from first touch to revenue.

02 - Unification
one source of truth
Product───Marketing
Revenue───Warehouse
queryable end-to-end

You see what's actually happening

We build the reporting layer your team will actually use - executive dashboards, product funnels, cohort analyses.

03 - Visibility
monthly review
MRR+12%
$84K
retention by cohort · D30

You grow with evidence, not intuition

We go find the answers - why users churn, why they don't convert, why some cohorts stick and others don't. Then we design and run the experiments that fix it.

04 - Compounding
experiments shipped
+8% activation+12% retention+5% conversion
each win funds the next

Curious how this would work on your stack?

Book a call
Tech stack

Which analytics tools does Datalyze work with?

We work inside your stack, not ours. As of 2026:

Mixpanel
Product
Certified Partner
PostHog
Product
Implementation Specialist
Amplitude
Product
Heap
Product
Google Ads
Marketing
Meta Ads
Marketing
GA4
Marketing
Google Tag Manager
Marketing
HubSpot
Marketing
Stripe
Revenue
Chargebee
Revenue
Recurly
Revenue
RevenueCat
Revenue
BigQuery
Warehouse
Snowflake
Warehouse
Postgres
Warehouse
Looker Studio
Dashboarding
Metabase
Dashboarding
Databricks
Dashboarding
Segment
Pipelines
dbt
Pipelines
Fivetran
Pipelines
Hightouch
Pipelines
Airbyte
Pipelines
Why Datalyze

What makes Datalyze different from an analytics agency?

01

You work with the people who do the work

ACCOUNT MGR
JUNIOR ANALYST
SENIOR OPERATOR↳ you

Every engagement includes senior operators. You talk directly to the people in your data.

02

We start in a day, not a quarter

24 HRSDatalyze2 WEEKSindustry avg

No 2-week onboarding. No discovery phase eating a month.

03

We own the outcome, not the deliverable

+14%

When an experiment doesn't move the needle, we tell you and run a better one.

04

If we find it, we fix it

broken pipelinefixed
leaking funnelfixed
wrong metricfixed

When we find something broken, even if it wasn't in scope, we fix it. You hired us to make your data work.

Pricing

How much does Datalyze cost?

From $1k for a one-time audit, up to $2–5k/month embedded. Most teams start with the audit.

AUDITBest first step
From $1k

For teams that suspect something's broken but can't pinpoint where.

What's included
  • Full audit across product, marketing, revenue, and warehouse
  • Tracking plan and schema documentation review
  • Stack health diagnosis: what's working, what's drifting, what's missing

Outcome: clarity on what to fix and what to build next

Start with an audit

Most teams identify 3-5 revenue leaks in the first audit.

Ansh is an absolute pleasure to work with. Throughout the project, he was extremely professional, came up with suggestions, took initiative to recommend best practices, and made a tough project look easy. In the end, we were absolutely thrilled at having found him and are excited that our project ended so well, all because Ansh took ownership and delivered with absolute perfection. Highly recommended, will definitely work with him again!

Sandeep
Sandeep, Founder, Marketing Strategy Labs

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.

Hmayak
Hmayak, Founder, Buildern

Ansh was incredibly helpful in three main ways: first his detailed technical knowledge of MixPanel helped me solve specific implementation problems and needs quickly, usually within a few minutes. Second, he pushed me to frame my thinking about why I wanted a certain piece of analysis. This helped me get far clearer on my goals, sometimes leading to me running different analysis, dropping a piece altogether and always helping me think more strategically. Finally, Ansh has a lot more to offer than just MixPanel advice, he's able to think strategically about north star and second level metrics, helping me figure out the why behind the work I was doing.

Nick, Product Owner, Sama

Ansh was extremely helpful in developing our V2 analytics strategy and in setting up our Mixpanel dashboards accordingly. He was not only proactive in bringing his expertise but also highly adaptable to our specific needs. Ansh played a key role in identifying effective solutions where standard approaches were insufficient, delivering all his tasks with great professionalism and impressive speed. Looking forward to future projects with you, Ansh!

Christian
Christian, Founder, Tiun

Had the pleasure of working with Ansh on a Mixpanel project for our client, where we aimed to implement Mixpanel to deepen our understanding of customer interactions and drive data-driven decision-making. From the outset, Ansh demonstrated an exceptional grasp of Mixpanel's capabilities and an insightful approach to leveraging this tool to meet our unique business needs. I am impressed with the level of professionalism, dedication, and insight Ansh brought to this project. I highly recommend Ansh to any organization looking to leverage Mixpanel or any other analytics platform to its fullest extent.

Moshe
Moshe, SEO Consultant

Ansh helped us in implementing mixpanel analytics to our system. He has been very knowledgeable w.r.t to mixpanel as a tool and prompt with his deliverables. We faced some data loss issues while integrating wordpress with webapp but it appears to be a limitation of the tool. We appreciate his support.

Srinivas, Founder, Phygital

Ansh has been excellent with setting up our mixpanel pipeline and providing insightful analytics. He's always available, humble, and always ready to learn more about the product!

Raghav
Raghav, Founder, AlgoTest

Ansh is smart, talented, organized, and great to work with. He's a very technical expert and we would highly recommend his mind to help solve complex business problems.

Robby, Founder, Influencer Marketing

Working with Ansh made our data flow seamless. He helped us set up a pipeline from Google Analytics and BigQuery to Mixpanel, ensuring we could easily track and analyze user behavior. The dashboards he created have become an essential tool for our team's decision-making. Would definitely work with him again and highly recommend him to anyone looking to overcome analytics challenges.

Ben
Ben, Founder, Kliq

Ansh gets straight to work and gives value to you very quickly. His process is very thorough and his knowledge of how people flow through an app is impressive. He immediately found places that our site needed improvements and gave us actionable dashboards that we could watch weekly.

Chris
Chris, Founder, VideoTap

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.

Kaivan
Kaivan, Founder, FRAI

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.

Ryan
Ryan, Product Growth, TermPlus

Ansh helped us setup Mixpanel for one of our clients, and better understand where our revenue is coming from so that we could make better decisions. He also built out an end to end automated AI model to analyze data everyday, and give insights on channels doing well vs not across multiple aspects like CAC, ROAS, Spend, conversions.

Dee, Marketing, Digitap

Ready to join them?

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Final Step

See what your data
is hiding from you

Book a Call
Questions

Frequently asked

How much does Datalyze cost?

Three tiers: a one-time audit from $1,000; infra setup at $1,500 to $3,000 per project; and embedded (ongoing) at $2,000 to $5,000 per month. Most teams start with the audit and scale from there.

How long until we see results?

Most teams see their first actionable insights within 2 to 3 weeks of kickoff. The audit itself takes 1 to 2 weeks.

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.