# Datalyze

> Fix your data. Find your growth.

- Canonical listing: https://agencysource.com/agencies/datalyze
- Categories: [PPC & Paid Search](https://agencysource.com/categories/paid-media), [Data & Analytics](https://agencysource.com/categories/data-analytics), [Conversion Rate Optimization](https://agencysource.com/categories/conversion-optimization), [Marketing Strategy & Fractional CMO](https://agencysource.com/categories/marketing-strategy), [UX/UI & Product Design](https://agencysource.com/categories/ux-ui-design), [HubSpot Agencies](https://agencysource.com/categories/hubspot-agencies)
- Services: BI & Big Data Consulting & SI, Conversion Optimization, Product Marketing, UX/UI Design
- Industries: Information technology, Financial services, eCommerce
- Team size: 2 - 9
- Hourly rate: $50 - $99 / hr
- Minimum project: $5,000+
- Founded: 2022
- Website: https://www.joindatalyze.com
- Listing: Not yet claimed
- Agency Source rating: no Agency Source reviews yet

## About

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 four 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.

Tech Stack: Mixpanel (Certified Partner), PostHog (Implementation Specialist), Amplitude, 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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