
Data Strategy
Know what to measure and why. Strengthen data integrity with clear event definitions and a tracking plan your team can trust.
A measurement roadmap
Event mapping, tracking audits, CDP selection, and a plan for scale.
We are a data consultancy that connects and organizes your company’s data, giving your entire team a trusted foundation for analytics, AI workflows, and better decisions.
Customer stories
32 customer examples · 5 case studies
Unified editorial reporting across thousands of articles.
Shared reporting for brand, CRO, and paid media.
Weekly reporting across departments, websites, and pages.
Connected lead sources to revenue through LMS integration.
Multiple sales channels in one central reporting system.More teams we work with



























Three connected layers that turn your company data into a trusted foundation for analytics, AI, and everyday decisions.

Know what to measure and why. Strengthen data integrity with clear event definitions and a tracking plan your team can trust.
A measurement roadmap
Event mapping, tracking audits, CDP selection, and a plan for scale.

Connect, clean, and standardize your company data for action-based AI enablement, guided by human expertise.
Your connected data foundation
ETL pipelines, a data warehouse, dbt models, and schema governance.

Put insights to work with dashboards your team can use, backed by a data system designed for future-proof scale.
Dashboards and actionable insights
Executive dashboards, marketing attribution, product analytics, and BI automation.
Built around the tools your business uses.
Choose the support that fits your starting point, from an initial audit to implementation, ongoing support, or guidance for your team.

A deep dive into your existing tracking to identify gaps and design your ideal data architecture.
Best for: You need to understand what is wrong with your tracking and what to fix first.

Focused 4-8 week engagements to deploy tracking, clean your data, and unify your tools.
Best for: You have a defined tracking or data integration project ready to implement.

White-glove service where we handle data cleaning, maintenance, and proactive insights.
Best for: You need an extended team to maintain your data and keep improving how you use it.

Strategic leadership to help you build internal capabilities and oversee complex migrations.
Best for: Your internal team needs direction as it builds capabilities or manages a migration.
Connect your company data, goals, and context so your team can use reports and ask questions in plain English.
Illustrative example Sample data
| Recorded source | Qualified leads |
|---|---|
| Google Ads | 18 |
| Organic | 12 |
| Referral | 10 |
Did we reach our qualified-lead goal in June?
June recorded 40 qualified leads against a goal of 50. That’s 80% of the goal, with 10 fewer qualified leads than the target.
Grounded in your:
Definition usedUnique leads created in June and marked Qualified in the month-end CRM snapshot.
Business contextJune 1–30, 2026 · Completed month · Qualification is set by your team.
Did we reach our qualified-lead goal in June? June recorded 40 qualified leads against a goal of 50. That’s 80% of the goal, with 10 fewer qualified leads than the target.
One shared foundation
MCP (Model Context Protocol) connects the AI tools your team uses to your company data, goals, context, metric definitions, and reports.
Your business owns its data. We connect your tools and warehouse so your team can use it.
A sprint handles a defined project. An ongoing partnership adds data cleaning, maintenance, and continued insights.
Bobbie · Ecommerce & subscriptions
Bobbie's team was spending time finding numbers across its systems. Vision Labs connected acquisition and account-portal data in a centralized reporting system.
Brand, CRO, and paid media teams could work from the same data, with reporting across individual funnels and vendors.
Explore the Bobbie case study
Wall of Love
How we work with your tools, your team, and your existing data.
| What you might be wondering | How we approach it |
|---|---|
| Do we need new tools? | Start with what you have. We audit your tracking and scope the connections your business needs. |
| Already have a data team? | Give them extra support. Choose strategic guidance or a focused implementation sprint. |
| Not ready for AI yet? | Build the foundation first. We connect, clean, and standardize your data for reporting and AI. |
| Who keeps it running? | Choose an ongoing partnership. It adds data cleaning, maintenance, and continued insights after implementation. |
Can't find what you're looking for? Reach out to our team for a personalized response.
Contact JJAn embedded data team works with your marketing, sales, and product teams on an ongoing basis. We build reporting around the decisions your team needs to make, maintain the agreed data systems, and provide a place to ask questions and discuss insights.
An agency may deliver a defined project, while an embedded engagement adds ongoing support inside your existing workflows. At Vision Labs, you can choose a focused audit or implementation sprint, an ongoing partnership for maintenance and insights, or strategic advisory support for your internal team.
We build and manage your entire measurement system: Data collection (GA4, GTM, PostHog, server-side tracking), Data storage (BigQuery setup and management), Data visualization (Custom Looker Studio dashboards), and Data strategy (Monthly sessions to translate insights into action). We integrate all your marketing, advertising, and sales data into a single source of truth, then make sure your team knows what to do with it.
You're a good fit if you're growing fast but can't justify a full-time data hire, your current analytics setup is messy or unreliable, your team has questions your dashboards can't answer, you've outgrown spreadsheets but aren't ready to build an internal data team, or you want someone who understands both marketing and data. We work best with SaaS companies, ecommerce brands, infoproduct businesses, and multi-site networks doing $1M+ in revenue.
Engagements typically range from $3K–$8K/month depending on scope and complexity. This includes data infrastructure management, custom dashboards, a dedicated Slack channel, and monthly strategy sessions. For one-time projects like audits or implementations, we offer fixed-price options.
Most clients see their first working dashboard within 2–4 weeks. The full measurement system (data collection, storage, visualization, and documentation) typically takes 4–8 weeks depending on complexity. From there, engagements are ongoing as your data needs evolve as your business grows.
Less than you'd think. We need about 2–3 hours upfront to understand your business model, KPIs, and current tech stack. After that, expect a weekly or biweekly sync (30–60 minutes) plus async communication via Slack. We handle the technical work. You stay focused on running your business.
Talk with the Vision Labs team about your current systems, the questions you need to answer, and the support that fits your business.
Continue to our contact page to share a few details.