Contact Datalyze
Get a custom proposalWe fix analytics you set up but never got answers
Datalyze is an analytics and growth partner for startups from Seed to Series C. We've worked with 150+ companies across B2B SaaS, consumer SaaS, fintech, D2C, and marketplaces, including CRED, Sarvam AI, Silverfort, Coursebox, Wellness Coach, Magma.
Most companies don't have a tools problem. They have an implementation problem. In the stacks we audit, 20 to 40% of events, models, or pipelines are misconfigured, missing, or quietly broken.
That shows up as a CAC nobody can defend, PMs writing SQL instead of shipping, and retention insights sitting in a dashboard nobody opens.
We work in five stages:
Foundation: Full audit of your product events, warehouse tables, pipelines, and metric definitions. We fix what's broken, fill what's missing, and standardize what's drifted so every team pulls the same number for the same question.
Unification: Connect and model product analytics, warehouse, billing, and CRM into a single source of truth, giving you one view of the customer from first touch to revenue.
Visibility: Build the reporting layer your team actually uses: executive dashboards, product funnels, cohort analyses.
Compounding: Find why users churn or don't convert, then design and run the experiments that fix it.
AI layer: Model your data so AI agents and MCP tools give accurate answers, not guesses.
Tech Stack: Mixpanel (Certified Partner), PostHog (Implementation Specialist), Amplitude (Implementation Specialist), Heap, GA4, GTM, Google Ads, Meta Ads, HubSpot, Stripe, Chargebee, Recurly, RevenueCat, BigQuery, Snowflake, Postgres, dbt, Segment, Fivetran, Hightouch, Airbyte, Looker Studio, Metabase, Databricks.
Read our case studies at https://www.joindatalyze.com/case-studies
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Min project size
$1,000+
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Hourly rate
$50 - $99 / hr
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Employees
2 - 9
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Year founded
Founded 2019
- AI Consulting
- 25%
- AI Expertise
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- Machine Learning
- 30%
- AI Consulting Focus
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- AI Deployment
- 60%
- AI Strategy
- 40%
- BI & Big Data Solutions
- BI & Big Data Focus
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- Other BI & analytics
- 30%
- GA4 consulting
- 10%
- Conversion Optimization Focus
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- Information technology
- 50%
- Consumer products & services
- 20%
- Financial services
- 20%
- eCommerce
- 10%
- Small Business (<$10M)
- 40%
- Enterprise (>$1B)
- 30%
- Midmarket ($10M - $1B)
- 30%
Pricing Snapshot
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Packages we offer:
Product analytics audit
A one-time review of your analytics setup. We check your tracking and data, find what is broken or missing, and give you a clear plan to fix it.
Small
Single-feature product, basic analytics setup
Medium
Multi-feature product, warehouse, CRM, marketing
Large
Complex product, internal tools, warehouse
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Our Story
I started my analytics career at CRED. Then I spent a few years freelancing with startups. I fixed tracking, unblocked teams and dug out insights buried under broken setups.
By the 30th startup, I saw the same pattern everywhere. Nobody trusted their data. The fix wasn't more tools. It was the foundation under them: events, pipelines, definitions and models.
In 2019, I started Datalyze to fix that foundation first, then find the growth it was hiding.
Meet the Team
What Sets Us Apart
Foundation first
Most setups we audit have 20 to 40% of events, models or pipelines broken or missing. We fix that before we build a single dashboard, so every team pulls the same number for the same question.You talk to the people doing the work
No account managers. No junior analysts learning on your budget. The people on your calls are the people in your data, fixing it.We start in a day
Share access and we start auditing your data the next day. No month-long onboarding. Most teams see their first useful insights within 2 to 3 weeks.Contact Datalyze
If you’re not seeing exactly what you need here, send this company a custom message. You can talk about your project needs, price, and timeline to get started on your project.
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