Kissmetrics Accelerator Program
We build your data strategy, schema, team training and retention support, and we are only paid in full if it works. A free assessment first, then a small deposit, then a success fee against an outcome we agree in writing.
How the work runs
We build your data and attribution system end-to-end, then hand it to your team.
You start tracking events early, then we refine the schema until it answers every business question. We finish when it does, not on a date.
Start with the assessment
We tell you what is broken before you pay us anything.
Send us what you sell and what you cannot currently measure. You get a written assessment of what your tracking is missing and what it is costing you. If there is no case for the work, we say so.
The assessment is free and there is no deposit until you have seen it.
Trusted by brands that take results seriously
Real results from real teams
The team behind brands that take accuracy and results seriously


Built for your model
Every business breaks data differently.
So we start where you are. Pick your model and see the traps teams like yours fall into, what we build first, and why that beats bolting on yet another tool.
You spend on ads, sell across channels, and still cannot say which dollar came from where.
Where it usually breaks
- –Platform-reported ROAS double-counts and never ties back to real revenue
- –You cannot see the full journey from first touch to repeat order
- –Checkout drop-off is a black box, you know the rate but not the why
- –No clean way to separate one-time buyers from high-LTV repeat customers
What we build first
Implementation priorities
- →A purchase-journey schema from first visit to repeat order
- →True channel and campaign attribution, not platform-reported ROAS
- →Step-by-step checkout funnel leak analysis
- →Cohorts for cart abandoners, one-time buyers, and high-LTV customers
- →Repeat-purchase and lifetime-value retention tracking
Why this beats another tool
Sound familiar?
Every problem you have, and exactly how we fix it.
If even one of these is your daily reality, the issue is not your team. Nobody ever built the tracking system properly. Here is what we do about each one.
“I can see traffic, but I have no idea who these people are.”
Anonymous pageviews pile up while you still cannot name who converted or who is about to churn.
We turn anonymous traffic into real people.
Every session is stitched into one identity across devices and visits, so you can name who converted, who is at risk, and exactly what each customer did before they did it.
“Whenever I ask a new question, the answer is we do not track that.”
Events were bolted on ad-hoc by whoever needed something that week, so half your questions hit a dead end.
We design a schema from your business questions, not your codebase.
We start from what you actually need to know, then build the minimum set of events and properties to answer it. Every event earns its place, so the next question already has an answer waiting.
“I cannot tell my CEO which channel actually drives revenue.”
You see clicks and traffic, but not which campaigns and behaviors turn into money, so budget calls are guesses.
We wire attribution from the first click to the dollar.
Channels, campaigns, and in-product behavior connect to real revenue, down to the individual. You stop defending guesses and start showing exactly what is working.
“I want to retarget by behavior, but the data is not there to do it.”
You cannot build a cohort of people who hit a funnel or showed intent, because the events were never captured cleanly.
We make your data something you can act on, not just read.
Living cohorts built on real behavior, funnels hit, offers viewed, intent shown, wired straight into your campaigns and A/B tests. You act on what you collect instead of watching it.
And everything else, set up alongside it
Ready when you are
Turn your data into decisions you can trust.
Tell us what you sell and what you cannot currently measure. You get a written assessment back, and nothing is owed for it.
- A data system built around your business questions
- Attribution wired from the first click to revenue
- Your team trained on it while it is being built
The assessment is free and there is no deposit until you have seen it.
We only get paid if it works.
Most analytics engagements are paid in full whether or not the number moves, which puts all of the risk on you. This one is a free assessment, a small deposit, and then a success fee. If the work does not produce the outcome we agreed, that is our problem rather than your invoice.
A free assessment
We look at how you track today, what your data cannot currently tell you, and what that is costing in decisions you are making blind. You get it in writing.
What this means: Costs nothing. If there is no case for the work, we say so and that is the end of it.
A small deposit to begin
It covers the setup work and it means both sides have committed. It is deliberately small relative to what the engagement is worth, because it is not how we intend to be paid.
What this means: The only fixed amount you pay. Everything after this is contingent.
The work, on a success fee
The five workstreams. The bulk of what we earn is tied to the outcome we agreed in the assessment, so if the number does not move, we have not earned it.
What this means: Our incentive and yours are the same one.
The deposit and the success fee are both set in the assessment, against an outcome we define together and can measure. We do not publish a rate card because the number depends on what the outcome is worth to you, and a page cannot know that.
Five workstreams, and we are not finished until the last one.
A build, not a binder of recommendations. Most analytics projects end with a slide deck and a shrug; this one ends when the system is running and your team is running it.
Data strategy
The questions your business actually needs answered, and what has to be true for the data to answer them. This comes first because every other decision is downstream of it, and it is the step most implementations skip.
Schema
The event and property model, designed once and properly: what a person is, what counts as an event, which properties belong on the moment and which on the person. This is the part that is expensive to get wrong and almost impossible to change later.
Training
Your team learns the system while it is being built rather than at a handover session. The test we hold ourselves to is whether the schema survives us leaving, and it only does if the people using it understand why it is shaped the way it is.
Retention
A working schema tells you where the money leaks. This is the work of acting on it: which segments to go after, what to change in onboarding, where retention is being lost and what to do about it. It is also where the success fee is earned or not.
Handoff
We are done when the schema is implemented, Kissmetrics is set up, everything relevant is tracked, and your team is running it without us, rather than on a date agreed up front.
Throughout, you get a dedicated Slack channel and solutions engineer, plus bi-weekly strategy sessions where we study the metrics actually moving.
Honestly, is this worth your time?
We would rather tell you no than waste a call. It works when the pain is real and someone is ready to act on the answers. Here is the honest line.
Worth it if this is you
- You have tried to fix tracking before and you are sick of guessing
- You keep asking questions your tools simply cannot answer
- You want to retarget and test, but the data was never set up for it
- You have engineers, but they are buried and this keeps slipping
- You are past product-market fit, roughly 50 to 500 people
Not yet, if we are honest
- You are pre-product, so there is not enough behavior to model yet
- You already run a dedicated analytics engineering team
- You want a prettier dashboard, but no one will act on what it shows
The questions you are already asking.
Straight answers, the same ones we would give you on the call.
What happens after I email you?+
We come back with questions, then we do the assessment. It is written rather than a call: what you track today, what your data cannot tell you, and what that is costing in decisions being made blind. You get it whether or not you go ahead, and if there is no case for the work we say so. Nothing is owed at that point.
What does "success fee" actually mean here?+
The outcome is defined in the assessment, in writing, against a number we can both measure. Most of what we earn is contingent on reaching it. The deposit at the start is deliberately small relative to the engagement, because it exists to make sure both sides are committed rather than to pay for the work.
How is the fee set, and why is there no price on this page?+
Because it depends on what the outcome is worth to you, and a page cannot know that. A retention improvement is worth a different amount to a business doing $2M than one doing $40M, and pricing it the same for both would mean overcharging one and underpricing the other. The number is set in the assessment, before any commitment.
What if the outcome is not reached?+
Then we have not earned the success fee. That is the whole point of the structure, and it is the reason we are careful about which engagements we take: we cannot afford to work on something where the outcome is not achievable, which is also why the assessment sometimes ends with us saying no.
How long does it take?+
It depends on how much is already in place, which is one of the things the assessment establishes. We do not commit to a fixed window, because the finish line is the work rather than the calendar: we are done when the schema is implemented, Kissmetrics is set up, everything relevant is tracked and your team is running it without us. The assessment gives you a realistic range for your situation.
Our dev team is slammed. How much engineering time does this take?+
Our solutions engineers do the heavy lifting and hand over the actual code and configuration. Your team reviews and deploys: realistically a kickoff to review the tracking plan, a few hours to deploy, and a call to verify data is flowing. Hours rather than weeks. If you have no bandwidth at all we can take more of it on.
We already use GA4, Mixpanel or Amplitude. Is this just more of the same?+
Usually the opposite. Those teams already understand behavioural analytics, and the question is whether you have a clean schema, attribution you trust, and behaviour-based automation driving real outcomes. If you do, you probably do not need us. If you are drowning in data without clear answers, the problem is the schema underneath rather than the tool on top of it, and we can work alongside your existing stack.
Why not hire a data analyst instead?+
You can, and if you have the time and in-house expertise you probably should. A good analyst is a six-figure annual commitment who will spend their first three to six months cleaning up the existing mess, and the cost is the same whether or not it works. The difference here is not primarily speed, it is that most of our fee depends on the result.
What happens afterwards?+
You own the system. Some teams run it themselves with the playbook and training we provide, some keep us on for ongoing work. No long-term contract either way.
Last step
We only get paid if it works.
A free assessment, then a small deposit to start, then a success fee. If the work does not move the number, that is our problem rather than your invoice.
- The assessment is free and written, not a sales call
- You see what is broken before any money changes hands
- Most of what we earn depends on the outcome
The assessment is free and there is no deposit until you have seen it.



