customer-analytics – dataanalyticsstack

Customer Analytics

Know who your best customers are — and how to get more of them

Most retail brands focus on acquiring new customers while quietly losing the ones they already have. We show you who stays, who leaves, what drives loyalty, and how to build a customer base that compounds over time.

Customer analytics dashboard
Customer LTV
$248
↑ 9% vs last qtr
Repeat rate
41%
↑ 4pp vs last qtr
Churn rate
22%
↓ 3pp vs last qtr
Customer cohort retention (monthly)
RFM segments
Champions18%
Loyal24%
At risk31%
New vs returning
Returning41%
New59%
Avg orders2.4
Questions this answers

The customer questions your data should already be answering

What is the lifetime value of my average customer?

Which customers are most likely to churn in the next 90 days?

What percentage of my revenue comes from repeat customers?

Which customer segments spend the most and buy most often?

Are cohorts from different acquisition channels retaining better or worse?

How much can I afford to spend to acquire a new customer profitably?

Problems we solve

The customer visibility problems we fix

You are spending to acquire customers you cannot retain

Marketing budgets grow every year but repeat purchase rates stay flat. Without understanding why customers leave, you are filling a leaky bucket.

You do not know your true customer lifetime value

Without LTV data you cannot make smart decisions about how much to spend on acquisition — or which channels bring the customers who actually stay.

You treat all customers the same

Your best 20% of customers likely drive 60%+ of revenue — but without segmentation you market to everyone equally and miss the high-value opportunities.

Churn is invisible until it is too late

By the time you notice a customer has gone quiet, the window to re-engage them has usually closed. You need early signals, not lagging reports.

No way to measure loyalty programme performance

You cannot tell whether your loyalty initiatives are actually improving retention or just rewarding customers who would have bought anyway.

Cohort performance is hidden in aggregate numbers

Aggregate retention metrics hide the fact that some customer cohorts are healthy and others are collapsing — making it impossible to act on the right problem.

KPIs included

What we track — in plain business language

Every metric is chosen because it answers a real question about how your customer base is growing, staying, or leaving.

Customer lifetime value (LTV)
The total revenue a customer generates over their entire relationship with your brand — the single most important number in retail growth.
Customer retention rate
What percentage of customers come back within a set period — tracked over time so you can see whether retention is improving or declining.
Churn rate
How many customers are lost in each period — with early warning signals before churn becomes a serious drag on revenue growth.
Repeat purchase rate
The percentage of customers who buy more than once — one of the clearest indicators of whether your brand is building real loyalty.
RFM segmentation
Customers grouped by Recency, Frequency, and Monetary value — so you know exactly who your champions, loyal, at-risk, and lost customers are.
New vs returning customer split
The ratio of new to returning customers in revenue — and how that balance shifts over time as your brand matures and retention improves.
Example dashboard visuals

What your customer analytics dashboard looks like

Built and managed by our team — tailored to your business and the customer questions that matter most to you.

Cohort retention — monthly
Month 0Month 1Month 2Month 3Month 4Month 5
RFM customer segments
Champions
18%
Loyal
24%
Potential loyal
13%
At risk
31%
Lost
14%
LTV by acquisition channel
Organic search$312
Email / Klaviyo$287
Referral$265
Meta Ads$198
Google Ads$184
Repeat purchase rate — monthly trend
SepOctNovDecJanFebMar
What you will gain

A customer base that grows — not just a list that leaks

Here is what changes when you finally have clear visibility into your customer data:

Know exactly who your most valuable customers are — and what they have in common
Spot at-risk customers early — before they leave — and re-engage them while there is still time
Understand which acquisition channels bring customers who actually stay and spend more over time
Set smarter CAC targets — because you know what a customer is actually worth over 12 months
Personalise retention campaigns using RFM segments — champions, loyals, at-risk, and lapsed customers
Monthly insights report showing exactly what changed in your customer base and what to do about it
Decisions you can make

From customer data to smarter business decisions

Reduce churn before it happens

Identify at-risk segments early and trigger re-engagement campaigns while customers are still reachable — not after they have already left.

Focus retention spend on the right customers

Stop treating all customers equally. Direct your loyalty budget toward the segments with the highest LTV potential — not just the loudest ones.

Improve acquisition channel strategy

See which channels bring customers with the highest long-term value — and shift budget toward acquiring more like them.

Build loyalty programmes that actually work

Measure the real retention impact of your loyalty initiatives — and adjust the mechanics until they move repeat purchase rate in the right direction.

Set profitable customer acquisition targets

When you know your LTV by segment and channel, you can set CAC targets that ensure every new customer you acquire is actually worth acquiring.

Forecast revenue more accurately

Cohort-based retention data makes revenue forecasting far more reliable — because you know what percentage of this month's customers will come back next month.

Who this is for

Built for retail brands focused on long-term growth

Shopify store owners

Scaling past $500K and ready to shift from acquisition-only growth to building a high-retention customer base

DTC brand founders

Investing heavily in paid acquisition and needing to understand which spend actually builds long-term customer value

Retention marketers

Running email and loyalty programmes who need real segmentation data to personalise campaigns at scale

Fractional CFOs

Advising retail clients who need reliable LTV and cohort data to make smarter unit economics decisions

Ready to understand what your customers are really worth?

Book a free 30-minute strategy call. We will review your retention data and show you exactly where your biggest customer growth opportunity is.