Customer data infrastructure for retail

We connect your retail data around each customer.

Online store, physical stores, loyalty program, campaigns and WhatsApp in one model, with the same numbers for marketing, leadership and finance.

Talk to the team See how we work

CustomerMember ••• 0921

5 sources

Sep 12 10:14MetaSep 12 10:14Saw an ad from the weekend campaign
Sep 12 10:16MetaSep 12 10:16Clicked the ad
Sep 13 18:02WhatsAppSep 13 18:02Replied to a broadcast
Sep 13 18:09Online storeSep 13 18:09Browsed Pantry and Drinks
Sep 14 11:40Physical storesSep 14 11:40Bought at the checkout, store 14$48,320
Sep 14 11:40Loyalty programSep 14 11:40Purchase linked to the member

+ 48,204 more customers

ClaudeL8 connector

Which members stopped visiting the store?

L8Queried data in L8

3 segments of members who buy online visited the store less this month.

Members1,120In 3 segments

Visits / month1.4Down from 3.7

How can I help you today?

Detected by L8

AcquisitionCost per new customer$2,900$4,000
RetentionRepeat within 90 days31%24%
MarginGross, after discounts34%29%

01Today

Today's decisions run on fragmented, late and mismeasured data.

Each system knows part of the customer.
Meta, WhatsApp, the online store, the physical stores and the loyalty program each keep their own part. Nobody measures what happens between an ad or a broadcast and an in-store purchase.
Reports arrive late.
Building a report takes hours of exporting, cross-referencing spreadsheets and reconciling numbers by hand. By the time it is ready, the campaign is over and the drop in visit frequency has already happened.
The metrics don't reflect what is happening.
Each team measures with its own definition. Sales may or may not include cancellations, and a customer who buys online and in store is counted twice. Decisions rest on numbers that don't match reality.

02The plumbing

What we build before the first analysis.

01
We connect every source.
Campaigns, WhatsApp, the online store, point of sale and the loyalty program end up in one place.
02
We identify the same customer.
What a person does in each channel is tied back to them.
03
We define what every number means.
Every metric has a single definition, the same for every team.

03On the connected data

How L8 is used.

Ask
A conversation with the data.
QuestionWhich members stopped coming to the store?
I found 3 segments with falling visit frequency. I'll break it down by store and category.
By storeBy category
Visualize
Dashboards and metrics on the connected model.
Customers
Ticket
Frequency
Detect
Insights, segments, anomalies and opportunities.
OpportunityMembers who buy online and stopped visiting the store
Anomaly: conversion on offers is dropping

Questions it can answer

Works inside Claude and ChatGPT

Which customers bought groceries after seeing a Meta campaign?

L8Queried data in L8

1,240 customers bought groceries within 7 days of seeing an ad. 4 in 10 of them bought in store.

Bought online74460%

Bought in store49640%

Which campaigns end in purchases at our stores?

L8Queried data in L8

Back to School drives the most store sales: 3 in 4 of its purchases happened in a physical store.

Back to School74%
Mother's Day58%
Anniversary46%
Winter Clearance31%

Which segments respond best to specific campaigns or offers?

L8Queried data in L8

Families who shop every week respond to grocery offers 2.3 times more than average. New members respond best to first-purchase discounts.

01Weekly family shoppers×2.3
02New members×1.8
03Beauty buyers×1.4
04Online-only customers×0.9

Which customers stopped buying and could be won back?

L8Queried data in L8

2,870 customers who used to buy every month haven't come back in over 60 days. 62% of them still open our WhatsApp messages.

No purchase in 60+ days2,870Used to buy monthly

Still open WhatsApp62%1,779 customers

Which products do customers who also use our website buy in our physical stores?

L8Queried data in L8

In store they mostly buy fresh food and drinks. Their in-store ticket is 35% higher than that of store-only customers.

01Fresh food31%
02Drinks22%
03Groceries19%
04Cleaning11%

Which members shopped less often over the last 90 days?

L8Queried data in L8

1,120 members went from shopping every week to once every three weeks. The drop is concentrated in the North store.

July3.7 visits
August3.1 visits
September2.2 visits
October1.4 visits

Which stores sell the most to customers who came from a campaign?

L8Queried data in L8

The Downtown store accounts for 38% of sales to customers who came from a campaign, followed by the Mall store at 24%.

Downtown38%
Mall24%
North17%
South13%

In which stores is conversion on offers dropping?

L8Queried data in L8

In the North and West stores, conversion on offers fell more than 20% last month. Everywhere else it is holding steady.

01North−24%
02West−21%
03Downtown−3%
04South+2%

Which categories do each store's customers buy together?

L8Queried data in L8

The most common pair is fresh food with drinks at Downtown, and groceries with cleaning at North.

01Downtown · Fresh food + Drinks42%
02North · Groceries + Cleaning37%
03Mall · Beauty + Cleaning29%
04South · Groceries + Drinks26%

How much did we spend on Meta against net sales this month?

L8Queried data in L8

This month we spent $4.2M on Meta. Purchases by customers who came from those campaigns add up to $38.6M net, online and in store.

Meta spend$4.2MOctober

Net sales$38.6M9.2 times the spend

How much does it cost to get a customer, by channel?

L8Queried data in L8

A new customer costs $3,100 through Meta and $1,400 through WhatsApp. Customers who come through WhatsApp also come back more often.

Meta$3,100
Google$2,600
WhatsApp$1,400
Email$900

Which segments have the highest ticket, by channel?

L8Queried data in L8

Large families have the highest ticket in store. Online, premium members lead.

01Large families · in store$52,300
02Premium members · online$47,800
03Beauty buyers · online$31,200
04New members · in store$24,900

Which customers bought groceries after seeing a Meta campaign?

L8Queried data in L8

1,240 customers bought groceries within 7 days of seeing an ad. 4 in 10 of them bought in store.

Bought online74460%

Bought in store49640%

How can I help you today?

Tools

Illustrative mockups.

04For the teams behind growth

Marketing, leadership and finance, on the same numbers.

Marketing
- Which campaigns and broadcasts end in purchases, online and in store.
- Segments built from purchases and behavior across every channel.
- Members whose visit frequency dropped, in time to win them back.
CEOs and leadership
- One view of the customer across online, stores and loyalty.
- Answers in plain language, without waiting for a report.
- The same numbers marketing and finance use.
CFOs and finance
- Ad spend against net sales, in local currency.
- Cost per customer and average ticket by channel and segment.
- A written definition for every metric, with no manual reconciliation.

05How we work

We connect to the systems you already have.

We scope the implementation with your team, starting from what already exists (e‑commerce, point of sale, loyalty program, campaigns), and connect L8 to those systems.

L8

E‑commerce
Point of sale
Loyalty program
Campaigns

E‑commerce
Point of sale
Loyalty program
Campaigns

We install L8 on top of what already exists.

Frequently asked questions

Do we have to change any system?

No. L8 connects to what you already use: Meta's APIs, the pixel on the online store, and exports or APIs from the point of sale and the loyalty program. Nothing is replaced and no customer-facing process changes.

Does it work if our online store isn't on Tiendanube or Shopify?

Yes. The L8 pixel is installed from Google Tag Manager, on any platform.

What does IT need to do on their side?

Agree with us on how each system is accessed, through a periodic export or an API, and give us read access. We define it together when we scope the work.

How long does it take?

It depends on the scope we define together: how many sources we connect and how each one is accessed.

Where is the data and who sees it?

Data is encrypted in transit and at rest, and kept separate from other companies' data. Your team and the L8 team working on your account see it, and it is used only to analyze your business.

How do we query the data?

In the L8 platform or from Claude, with the L8 connector, by asking questions in plain language.

Next steps.

A first conversation with your marketing team to understand how you work today.

Talk to the team

We connect your retail data around each customer.

Today's decisions run on fragmented, late and mismeasured data.

Each system knows part of the customer.

Reports arrive late.

The metrics don't reflect what is happening.

What we build before the first analysis.

We connect every source.

We identify the same customer.

We define what every number means.

How L8 is used.

Ask

Visualize

Detect

Questions it can answer

Marketing, leadership and finance, on the same numbers.

Marketing

CEOs and leadership

CFOs and finance

We connect to the systems you already have.

Frequently asked questions

Accelerated by

Next steps.