An analytics partner for founder‑led agencies.
Done‑for‑you analytics and reporting, aligned with your goals and decisions.
What We Do At Liftoff
At Liftoff Studios, we build and run an Analytics Partnership for founder‑led businesses.
We clean up your data, define your key metrics, build the dashboards you need, and stay on to help you implement good data practices and use the numbers to run the business.
Who We’re a Good Fit For
We work with a small number of founder‑led service businesses that have consistent activity and data, but no dedicated analytics function.
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Marketing, growth, and performance agencies
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Coaching programs and group education businesses
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Other founder‑led services using multiple tools
Who is probably not a fit?
Pre‑revenue businesses
Businesses with a dedicated internal analytics team
One‑off dashboard requests with no interest in an ongoing analytics partnership
Find out if we’re a fit:
How the Analytics Partnership Works
The Analytics Partnership is a single engagement with three phases.
PHASE 1
Data Audit
We start with a Data Audit. We review your systems, data quality, and goals, then give you a findings document and a recommended build plan. If we both want to proceed, your audit fee is credited into the Analytics Partnership.
PHASE 2
90-Day Build
Over the first 90 days, we connect sources, clean data, implement validations, standardize definitions, and build the dashboards, alerts, and trainings your team needs.
PHASE 3
Ongoing Analytics Partnership
Once everything is live, we move fully into the ongoing Analytics Partnership: managing data, maintaining reports, reviewing performance with you, and adjusting as your business changes.
Learn more about the partnership:
What’s Included
Included in the Analytics Partnership
Designing your core metrics, definitions, and reporting structure
Connecting and cleaning your main data sources
If needed, migrating data (within reason)
Building leadership and team dashboards plus key alerts
Monthly metrics reports and review calls
Quarterly strategy calls to look at trends and bigger questions
Ongoing maintenance so reporting keeps matching how you actually operate
Not in Our Lane
Managing or optimizing your ad accounts
Building unrelated internal tools or apps
One‑off dashboard projects without the Analytics Partnership
Acting as general IT support
White-label, client-facing reporting
Pricing
We prefer clear pricing so you know what to expect before we ever get on a call. If your situation is outside these ranges, we’ll alert you before you decide anything.
Data Audit
Flat $1000
Credited toward the Analytics Partnership if we work together
90‑Day Build (Analytics Partnership Begins)
Typically $8,000 - $12,000 (varies by complexity)
Option to pay in full or 50% at kickoff / 50% on day 45
Ongoing Analytics Partnership
Typically $3,000–$5,000 per month for one business, beginning after the 90-Day Build
12‑month minimum commitment, including the 90-Day Build and nine months of ongoing partnership
How We’ll Work Together Each Month
After the 90‑day build, the Analytics Partnership runs on a simple, repeatable cadence.
Monthly metrics report
A structured report with your core metrics, trends, and a short written summary of what changed and why it matters.
Monthly review call
A standing call to walk through the numbers, add context from your team, and agree on any changes or tests for the next month.
Quarterly strategy session
A deeper working session every quarter to step back from week‑to‑week noise, look at longer‑term trends, and adjust your reporting or targets as the business evolves.
Ongoing data management
Monitoring and maintaining your data pipelines and dashboards: fixing broken connections, updating definitions when your offers change, adding small views for new questions, and keeping everything aligned so numbers match across tools.
If you’re interested in an Analytics Partnership…
First, we’ll do a short intro call to see if the Analytics Partnership makes sense for your business. If it does, the next step is the Data Audit, where we dig into your systems and map out a plan.
Meet the Founder
Hi there! I’m Katrina, founder of Liftoff Studios.
Before starting Liftoff, I worked in business intelligence in the financial services industry while also spending time around solopreneurs and founders. I began to see a distinct gap between the analytics resources available to large companies and those available to founder-led services.
Having worked with data every single day, I understood how much value these businesses were missing out on. I started Liftoff with the mission of making reporting and analytics accessible to smaller businesses.
Common Questions
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No, we reserve those spots specifically for our Analytics Partners.
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In our experience, most businesses without a dedicated data team lack the proper data integrity, cleanliness, and practices to build strong, reliable reports. To adhere to our quality standards, we must be able to ensure you have a strong data foundation, which is why we start with the Data Audit and 90-Day Build. Without that foundation, we cannot deliver on the quality we promise.
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We have long-term relationships with our clients in the Analytics Partnership, and we reserve those resources for them. Furthermore, most businesses without a dedicated data team lack the data foundations needed for reliable reporting, and we won’t deliver reports that don’t meet our quality standards.
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You might not need us. If your internal reporting is clean, consistent, and clearly owned by someone on your team, you’re probably in good shape.
Where we help agencies that already do client‑facing marketing analytics is in a different lane:
We focus on your business, not your clients’ campaigns.
You already show clients their metrics. We help you understand your own pipeline, client mix, pricing, retention, capacity, and profitability across tools so you can run the agency with data-driven decisions.We handle the plumbing and definitions under the hood.
We reconcile what’s in your ad platforms, CRM, billing, and project tools so the numbers match and your existing reports become more reliable and less manual.We act as a dedicated owner for the data and reporting function.
Instead of a strategist or account manager keeping an internal spreadsheet “on the side,” you have a partner whose only job is to maintain the data, dashboards, and ongoing reporting for the agency itself.
If your current setup already does all of that reliably and without a lot of manual effort, you may not need an Analytics Partnership. If it doesn’t, that’s where we fit.
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In some cases, you should hire in‑house. If you’re big enough to build a data team, have someone who can lead them, and want analytics as a core internal function, we’ll tell you that on the call.
For most founder‑led service businesses, there are a few practical issues:
1.Cost: You Don’t Just Need an Analyst
What we do in the Analytics Partnership is normally split across multiple roles:Data engineering / integration (connecting tools, pipelines, cleaning data)
Analytics / BI (dashboards, reports, definitions)
Ongoing data management and “head of data” style decision support
To cover that in‑house, you’re usually looking at:
1 mid–senior analyst plus
At least part of a data engineer’s time
Plus benefits, tools, and management time
That’s typically well into multiple six figures a year. The Analytics Partnership is structured to give you that stack as a fractional team at a lower, predictable cost.
2. Training and Management Burden
If you don’t already have a strong analytics leader, you’re responsible for:Vetting whether a candidate is actually good
Teaching them your business model and metrics from scratch
Deciding what “good reporting” even looks like
Keeping them pointed at the right problems quarter after quarter
With us, you’re not trying to train your first analyst while also running the business. We come in with a defined process for metrics, plumbing, dashboards, and ongoing reporting, and we drive that process with you.
3. Different Type of Experience
We see patterns across multiple businesses and stacks. That helps with:Knowing which metrics actually drive decisions vs. nice‑to‑have charts
Setting sensible definitions and thresholds up front
Avoiding common tracking and attribution mistakes before they get baked in
An in‑house hire can eventually build that, but it takes years of trial and error.
4. Continuity and Documentation
If an employee analyst leaves, a lot of their context walks out with them. As part of the Analytics Partnership, we document your metrics, definitions, and reporting structure so it’s not all in one person’s head.If, down the line, you grow to the point where hiring a full internal data team makes more sense, the goal is that we’ve already built a clean, documented foundation they can step into instead of starting from zero.