Datalyze is the data team that 150+ startups, from Seed to Series C, bring in to fix broken tracking, unify their analytics, and turn raw data into decisions their teams actually trust.
From Seed rounds to Series C. Here are a few teams we've worked with.
Most growing companies stall in one of these four places. None of them are obvious. All of them are expensive.
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.
A board member asks what LTV looks like by acquisition channel. Stripe, Mixpanel, and your CRM each hold part of the answer; none of them talk. Three weeks of engineering produces a brittle integration. Stripe ships an API change. Three more weeks. By the third break, you stop asking questions that require multiple tools.
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.
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 as a side project. The data was sitting there the whole time.
Most agencies start with dashboards. We start with the foundation. By the time we get to dashboards, they actually mean something.
We audit your entire data layer — product events, warehouse tables, pipelines, definitions. We fix what's broken, fill what's missing, rebuild what drifts. Every team pulls the same number for the same question.
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.
We build the reporting layer your team will actually use — executive dashboards, product funnels, cohort analyses. The handful that change how you operate.
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.
Curious how this would work on your stack?
Book a call
Every engagement is staffed by senior operators with 150+ startup builds behind them. You talk directly to the people in your data.
No 2-week onboarding. No discovery phase eating a month. We've audited enough stacks to know where to look first.
When an experiment doesn't move the needle, we tell you and run a better one. We measure revenue impact on every change we ship.
Most agencies hand you a change order. We don't. When we find something broken, even if it wasn't in scope, we fix it. You hired us to make your data work.
FRAI had no clarity on which user segments converted, why others dropped off, or whether new experiments worked. We ran deep behavioural analysis, gave the team pointed recommendations on what to fix, and designed the A/B tests. Paid conversion doubled — with a repeatable experimentation process left behind.
Read the case studyCRED's payment routing was losing money in two ways: success rate that could be higher, and cost that should be lower. We built a linear-programming routing engine plus a real-time outage-detection model. Success rate up 7%, cost down 12%, provider outages down 93% month-over-month.
Read the case studyMost VideoTap signups never reached the dashboard. We audited the onboarding flow, removed the friction, and rebuilt the upload UX from 4 steps to 2. Onboarding completion went from 28% → 80%. Activation (first video uploaded) went from 7% → 19%.
Read the case studyWant this kind of impact on your numbers?
Book a callAnsh 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!
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.
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!
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.
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.
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!
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.
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.
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.
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.
Ready to join them?
Book a callFor teams that suspect something's broken but can't pinpoint where.
Outcome: clarity on what to fix and what to build next.
Start with an auditMost teams are sitting on revenue they can't see — broken tracking, misattributed spend, drop-offs nobody's caught. Bring us your stack, and in 30 minutes we'll show you where yours is.
Book a CallA full-time analyst costs $100–150K loaded, takes 3–6 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.
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 20–40% 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.
Most engagements run between $2,000 and $5,000 per month, depending on the size of your stack and the scope of work. Some clients start with a one-time audit and scale into a retainer; others go straight into ongoing work. Most teams see their first actionable insights within 2–3 weeks of kickoff.
Within a day of kickoff. We've done this 100+ times. 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.
Most companies do. The question is whether anyone trusts it. We audit what you have, fix what's broken, fill what's missing, and build on what's working. We don't rip and replace — we make your current investment reliable.
Week one: full data audit. We identify what's broken, what's missing, and what's being tracked but never used. From there, we prioritize, fix critical tracking issues, unify data sources, build the reporting your team actually needs, and start identifying growth levers. Weekly syncs keep everything aligned.
We measure the before-and-after revenue impact of the specific changes made during each engagement — conversion improvements from tracking fixes, retention gains from product changes, revenue from experiments we design and run. The 14% is a weighted average across 150+ engagements, not a cherry-picked best case.