Kissmetrics Accelerator Program

We build your end-to-end data and attribution system so you can increase user activation by 20% in 90 days.

The 90-day system

We build your data and attribution system end-to-end, then hand it to your team.

01AuditFind what is broken
02Data SchemaDesigned around you
03ImplementWe build it with you
04Hand offYour team runs it

You start tracking events within the first two weeks, then we progressively refine your event tracking until it answers every business question.

Apply to work with us

We only accept a small cohort of Accelerator clients at a time. Here is what you get when you are accepted:

  • Rebuild your data strategy from scratch
  • Schema design so every key business question is answered and every key event is tracked
  • A full year of KISSmetrics access included
  • A dedicated account rep and analytics expert on call for support
  • Custom workflows implemented for your business off your new data strategy

Takes about a minute. Ends with booking your free strategy call.

120% revenue increase
We grew monthly revenue by finally making decisions based on data we could trust.
Dave ChaffeyDave ChaffeySmart Insights · CEO
50% less churn
Kissmetrics gave us the behavioral data to understand our users and act before they left.
Stuart ElliotStuart ElliotAWeber · Digital Services Manager
10x ROI on analytics
The system paid for itself many times over once we could see the full customer journey.
Will FleissWill FleissDassault Systèmes · Global Head of Content
25% more trial engagement
We finally saw the full user journey and could double down on what moved people through the funnel.
UnbounceDavid ShackelfordUnbounce · Project Manager

The team behind brands that take accuracy and results seriously

Microsoft
Carvana
Unbounce
AWeber
Segment
Pipedrive
Appcues
DocSend
Microsoft
Carvana
Unbounce
AWeber
Segment
Pipedrive
Appcues
DocSend

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

The usual tool-only approach
The Accelerator
Attribution
Last-click, or each ad platform claiming the same sale
One model from first touch to revenue, deduplicated across channels
Customer view
Anonymous sessions and aggregate conversion rates
Person-level history: every order, device, and touch for one buyer
Setup
A pixel and a dashboard you configure yourself
A done-with-you schema and checkout funnel built around your store

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.

Problem 01
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.

What we do about it

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.

Problem 02
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.

What we do about it

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.

Problem 03
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.

What we do about it

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.

Problem 04
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.

What we do about it

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

Funnel performance, step by stepThe weekly metrics that matterA/B testing supportBehavioral email automationAttribution model tuned to your funnelGovernance playbookFunnel performance, step by stepThe weekly metrics that matterA/B testing supportBehavioral email automationAttribution model tuned to your funnelGovernance playbook
How we operate

A build, not a binder of recommendations.

Most analytics projects end with a slide deck and a shrug. This one ends with a system that runs. We carry the weight, you stay in the loop, not on the hook. Here is the whole engagement, week by week.

01Week 1-2

Audit & discovery

We map how you track today and define the top business questions your data must answer. We find what is broken and what to fix first.

Your side: You give us 2-3 hours of context. We do the digging.

02Week 3-4

Schema & design

We design a clean, business-aligned data schema and tracking plan, then hand your team pre-written code and a step-by-step rollout.

Your side: Your devs deploy in hours, not weeks. Or we handle more of it.

03Month 2

Implement & launch

Tracking goes live. We stand up your funnels, cohorts, attribution, and the weekly metrics that matter, then launch the first activation experiment.

Your side: 30-60 minutes a week in check-ins. The aha moments start here.

04Month 3

Automate & hand off

Behavioral email playbooks, a tuned attribution model, and a governance playbook. Your team is trained and self-serving on a system that is fully live.

Your side: You own the system. We stay on call if you want us.

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 exactly happens on the call?+

It is 30 minutes, in two parts. First we walk through your current situation: the problems with your data, the business questions you are trying to answer, and where you are stuck. Then, if it makes sense, we show you how the Accelerator would work for your specific business: how we build your schema, define your KPIs, create your segments, and set up reporting and automation. If there is a fit, we talk next steps. If not, we tell you honestly. Either way you leave with clarity on what you actually need.

What does the 90-day timeline actually look like, week by week?+

Weeks 1-2: onboarding and discovery, walking through your business questions and current setup (about 2-3 hours of your time total). Weeks 3-4: we build your data schema and core KPIs and start implementing tracking. Weeks 5-8: we build dashboards, funnel reports, and behavioral segments, and run the first activation experiment. Weeks 9-12: we set up behavioral email automation, fine-tune attribution, and hand off a governance playbook. After 90 days you own the system.

Our dev team is slammed. How much engineering time does this take?+

That is exactly why this is done-with-you. Our solutions engineers handle the heavy lifting and provide the actual code snippets and configurations. Your team reviews and deploys. Realistically: a 30-minute kickoff to review the tracking plan, a few hours to deploy, and a 30-minute call to verify data is flowing. Hours, not weeks. If you have zero bandwidth, we can handle even more of it.

How do I know the Accelerator is right for my business?+

It fits if you have fragmented data across tools, cannot get clear answers to your most important questions, and are ready to act on them. It is not a fit if you are pre-revenue, you just want a dashboard nobody will use, or you want a two-week quick fix. On the call we will tell you honestly if it is right for you. We would rather point you in the right direction than take on a bad fit.

We already use GA4, Mixpanel, or Amplitude. Will this just be more of the same?+

Usually the opposite. Those teams already understand behavioral analytics, but the question is whether you have a clean schema, trusted attribution, and behavior-based automation driving real outcomes. If you do, you probably do not need us. If you are drowning in data without clear answers, we give you the system those tools cannot provide on their own. We can work alongside your existing stack or help you migrate.

What if we do not see the 20% activation lift?+

The 20% lift is a target, not a guarantee, because there are variables outside our control: your product, your market, your team’s execution. What we will commit to is this: if you are not seeing meaningful improvement by the end, we keep working with you to figure out why. We do not take your money and disappear.

Why not just hire a data analyst or build this in-house?+

You can. A good analyst runs $80-150k a year and will spend their first 3-6 months cleaning up the data mess you already have, with no guaranteed working system at the end. The Accelerator delivers a complete system in 90 days that you then own outright, no ongoing payroll or management overhead. If you have the time and in-house expertise, build it. If you want it done fast and done right, work with us.

What happens after the 90 days?+

You own the system. Most clients pick one of two paths: run it yourself with the governance playbook and training we provide, or keep our team on for ongoing optimization and new experiments. There is no long-term contract and you are not locked in.

Stop guessing. Start knowing.

Thirty minutes, no pressure. We will read your current setup, point to exactly where it leaks, and sketch the system we would build for you. Worst case, you leave with a clear plan.

Apply to work with us