Turn Your Data Into A Custom AI-Ready Growth Engine Your Entire Team Can Use

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.

What we build

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

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.

AI Enablement

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.

Utilization

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.

  • LinkedIn
  • Google Analytics
  • Meta
  • Google Ads
  • Segment
  • Mixpanel
  • Amplitude
  • TikTok
  • HubSpot
  • Salesforce
  • BigQuery
  • Snowflake

How we work with you

Choose the support that fits your starting point, from an initial audit to implementation, ongoing support, or guidance for your team.

System connecting your team and data sources to a data warehouse, Vision Labs reporting, Slack support, and monthly video calls.

Data Audit & Architecture

A deep dive into your existing tracking to identify gaps and design your ideal data architecture.

  • Strategy
  • Systems
  • Tools

Best for: You need to understand what is wrong with your tracking and what to fix first.

Marketing and analytics platforms feeding a BigQuery data warehouse and reporting dashboards.

Tech Stack & Data Implementation sprints

Focused 4-8 week engagements to deploy tracking, clean your data, and unify your tools.

  • First-party data
  • Reverse ETL
  • Own your data

Best for: You have a defined tracking or data integration project ready to implement.

Extended partnership: two Vision Labs team members connected through Zoom and Slack to revenue, direction, and time outcomes.

Ongoing Partnership

White-glove service where we handle data cleaning, maintenance, and proactive insights.

  • Ask questions, anytime
  • 1-1 strategy sessions

Best for: You need an extended team to maintain your data and keep improving how you use it.

Vision Labs at the intersection of marketing strategy and data knowledge.

Strategy & Advisory

Strategic leadership to help you build internal capabilities and oversee complex migrations.

  • Data Generation
  • Data Visualization
  • Data Communication

Best for: Your internal team needs direction as it builds capabilities or manages a migration.

Discuss your starting point

How Vision Labs works

Connect your company data, goals, and context so your team can use reports and ask questions in plain English.

Reports and answersTrack performance in reports, or ask a question in plain English.Explore an example

Illustrative example Sample data

Your report

June 2026
Qualified leads
40
Monthly lead goal
50
80% of the monthly goal
Illustrative June 2026 qualified leads by recorded source
Recorded sourceQualified leads
Google Ads18
Organic12
Referral10

Ask your data

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:

  • CRM
  • Metric definition
  • Company goal

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.

Your company’s contextMCP gives AI access to your company data, goals, context, and definitions.See the connection
  • Company dataConnected business systems
  • Goals & definitionsYour targets and metric rules
  • Business contextDocuments and operating context

One shared foundation

Your reportsRecurring views of performance
Your MCP connectionAI tools access the same data and context
Answers

MCP (Model Context Protocol) connects the AI tools your team uses to your company data, goals, context, metric definitions, and reports.

Your data ownership

Your business owns its data. We connect your tools and warehouse so your team can use it.

Ongoing support

A sprint handles a defined project. An ongoing partnership adds data cleaning, maintenance, and continued insights.

Bobbie · Ecommerce & subscriptions

One view of the business. A shared starting point for every team.

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
Bobbie’s ecommerce website, as shown in the published Vision Labs case study.
Bobbie's website, featured in the published case study.
Data connected
Acquisition and account portals
Reporting delivered
Funnels and vendors in one place
Teams aligned
Brand, CRO, and paid media

Trusted by founders and marketing leaders

  • Joshua Beam

    CTO

    Visions Labs was instrumental in getting our data into a usable format with Looker. They took a hugely complicated scenario and steadily refined it for us so we could make critical business decisions. Would definitely recommend their team!

    Not only do they have a great attention to details and excellent work ethic, but they are also just a great group of people to work with.

  • Heather Thomas

    E-Commerce Director

    Juvenon

    Vision Labs is an integral part of monitoring and measuring our business. Their reporting help us understand where to invest for new customer growth performance. They assist us in providing solutions to attribution, tracking, customer behaviour, etc. I highly recommend working with them!

  • Darla Torkelsen

    CEO

    They have been incredibly attentive and detailed from the start. Our sales have more than doubled in less than 18 months. I know that every cent I spend on marketing is being accounted for. We can maximize our marketing dollars in the areas where we achieve the highest ROI.

  • Chris "Mercer"

    Co-Founder

    Measurement Marketing

    We’ve recommended JJ and the Vision Labs team numerous times and they’ve always managed to continually impress. Time and time again, they’ve proven their ability to work with clients to collect the right data, organize it in a way that tells a natural story, and display that data in reports that are both easy to read and highly actionable. If your organization is ready to turn “information” into actions that build revenue and results, then you’ve found your measurement experts…

  • Alex Birkett

    Founder

    Incredible at both execution and education. We knew there were many problems with our web data, but Vision Labs uncovered things we didn’t even think to check. Additionally, Vision Labs educated our internal teams on the why behind these things as well. As such, we’re in a much better place both tactically and knowledge-wise. I honestly can’t think of anything for Vision Labs to improve on.

  • Michael Jaron

    Head of Data

    Vision Labs helped my team transition from UA to GA4 smoothly. They were knowledgeable, created a custom plan, and were always available to answer questions. They had deep expertise in all things Google Analytics including how different teams would use the site and deep technical knowledge of SQL queries, I would highly recommend them.

  • Bridget Poetker

    Head of Growth

    Loop & Tie

    JJ & the Vision Labs team have been an incredible resource, making our GA4 setup a breeze. They ask the right questions and continually adjust our reporting for smooth data analysis. With their expertise in GA4, Vision Labs made the transition easy during a time of significant changes.

Your questions, answered

How we work with your tools, your team, and your existing data.

Common questions about working with Vision Labs and how we address them.
What you might be wonderingHow 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.

Everything you need to know about Vision Labs

Can't find what you're looking for? Reach out to our team for a personalized response.

Contact JJ
01

What is an embedded data team?

An 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.

02

What's the difference between a data agency and an embedded data team?

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.

03

What does a data agency do?

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.

04

Who needs a data agency?

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.

05

How much does a data agency cost?

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.

06

How long does it take to work with a data agency?

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.

07

How much involvement is required to work with a data agency?

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.

Let's find your next step with data.

Talk with the Vision Labs team about your current systems, the questions you need to answer, and the support that fits your business.

  • A 30-minute intro call
  • Your goals, your data, your next step
Book a quick intro call

Continue to our contact page to share a few details.