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Meet your customer model.

Neuralift trains a deep learning model on your first-party customer data, maps every customer into segments nobody predefined, reasons over them against your KPIs, and keeps that map current as your customers change.

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Segments 20
Customers 81.1K
On this lens lifetime_spend_label
  • Light
  • Moderate
  • High
  • Top
Pacewright Running, a Neuralift demo brand. Hover or tap a segment to see what the model found.
Inside the model

…and meet the customers inside it.

Every segment comes with a field guide: who they are, how you'd recognise them, and the ranked plays that reach them. Here's one from the run above.

01 The segment

Fashion-First Footwear Buyers

88% typical share of the basket that is lifestyle styles vs 19% for everyone else
74% have bought only once
8 fashion page views, typical member vs 1 for everyone else

These are style shoppers inside a running brand: people who came for the look of a shoe, chose a lifestyle pair from the fashion pages, paid a fuller ticket for it online, and left the performance running catalog untouched.

02 Who they are

This group holds the customers whose Pacewright purchase is a lifestyle or fashion sneaker rather than a training shoe — usually one pair, one size, bought on the site after time spent in the style pages. It contains both quick decisive buyers who take a pair at list and patient browsers who wait for a markdown on something pricier. A small crossover corner also picks up a performance pair alongside the style one, but running gear is the exception here, not the habit.

Meet Tatum

Most representative member

Tatum shops Pacewright the way she shops any style brand: a few evenings in the fashion pages, one unisex pair singled out, and a markdown waiting when she finally buys. The pair is expensive by this brand's standards and it arrives alone — no accessories, no second size, no training shoe alongside it. Email gets opened and occasionally clicked, but the site itself is where the decision happens.

A few evenings in the fashion pages, one unisex pair singled out, and often a markdown when she buys. The site, not the inbox, is where she decides.

Responds to
New-arrival and restock alerts on lifestyle and unisex silhouettes; a price drop on a style already viewed; phone-first creative that leads with the shoe rather than races, clubs or training plans; low-ticket style picks for the budget browsers and a style-plus-trainer pairing for the crossover corner.
New arrivals and restocks in lifestyle styles, a price drop on a style she's viewed, and phone-first creative that leads with the shoe.
Watch out for
Building everything around a patient premium browser misses the buyer who takes a pair at full list on a single visit, the budget walking-leaning shopper, and the multi-pair households buying several sizes at once.
Not every member waits for a markdown: some take a pair at full list on a single visit.

Tatum is an example persona from a demo brand's run; the name is invented. Neuralift stores no personally identifiable information.

03 How you'd recognise them

Every trait is measured directly from the customers: this segment against everyone else, the traits the model leaned on hardest first.

This segment Everyone else

  • The purchase is a fashion style

    What leaves the cart comes from the style side of the catalog rather than the performance side.

    8% 92%
    fashion_unit_share

  • No training shoe in the order

    Performance running shoes from this brand sit outside what this group actually buys.

    0.71 0.06
    avg units_performance_running

  • Lifestyle fills the basket

    Nearly the whole of their purchases sits in lifestyle and casual styles.

    19% 88%
    lifestyle_unit_share

  • Unisex silhouettes are the pick

    The styles that convert here are the gender-neutral ones, which shapes what belongs in the creative.

    22% 64%
    unisex_unit_share

  • Lives in the fashion pages

    Style category pages are where these customers spend their browsing time, making them the natural placement for reach.

    1.4 11.6
    avg hits_fashion

04 The plays

4 of the run's 7 ranked actions reach this segment. Each one comes sized, scored, evidenced and ready to test.

Action 02 of 07 Margin neutral

Turn one purchase into a signed-in loyalty account

  • impact: high
  • effort: low
  • confidence: good
~1.7K est. customers who sign in and activate membership
Reaches 2,392 of this segment · 63%

Signed-in members spend twice as much

$325engaged members $156everyone else

Who
Recent buyers with zero or one sign-in day
Offer
Free membership: a saved fit profile, restock alerts and replacement timing
Suggested vs observed Suggested Treated
EmailSMSLoyalty 10% holdout · 120d
Action 04 of 07 Protects margin

Stop discounting the customers already paying full price

  • impact: medium
  • effort: low
  • confidence: good
~$201K est. incremental value
Reaches 1,655 of this segment · 44%

They already pay close to list

14%their average discount 15%house average

Who
No outlet or Black Friday buys, and discounts under about 15%
Offer
No price incentive: newness, fit guidance and early access at list
Suggested vs observed Suggested Treated
EmailCRMMeta 20% holdout · 180d
Action 05 of 07 Margin neutral

Show each buyer their own category, not road running

  • impact: medium
  • effort: medium
  • confidence: moderate
~1.3K est. customers who return and place a second order
Reaches 2,324 of this segment · 61%

Their attention sits outside running

12fashion page views 3running page views

Who
Buyers whose whole history sits in one non-running category
Offer
Their own category's new season, in their known size
Suggested vs observed Suggested Treated
SiteEmailMeta 20% holdout · 120d
Action 06 of 07 Protects margin

Give first-buyers early access instead of a markdown

  • impact: medium
  • effort: medium
  • confidence: good
~$74K est. incremental value
Reaches 3,691 of this segment · 97%

They buy models fresh to market

9.5 momedian time past launch of the freshest model they bought

Who
Full-price buyers whose freshest model was under a year past launch
Offer
A 48–72 hour first look with their size held, at list price
Suggested vs observed Suggested Treated
EmailSMSLoyalty 15% holdout · 150d
01 / 04

Pacewright Running, a Neuralift demo brand. Figures are the model's estimates for the demo run.

Readings

See how they move.

Customers don't sit still. Between Trainings, each Reading checks a new snapshot of your customers against everything that came before: who joined a segment, who left, which segments are growing and which are fading.

TRAINING · 6 JAN Segments defined here 39,725 customers in these 8 segments READING 1 · 3 FEB +1,288 in · −1,443 out 39,570 customers in these 8 segments READING 2 · 3 MAR +1,301 in · −1,391 out 39,480 customers in these 8 segments READING 3 · 31 MAR +1,517 in · −1,527 out 39,470 customers in these 8 segments Shoebox Purists 10,031 Run-Club Shoe Faithful 9,747 Promo-Timed Online Shoe Shoppers 4,809 Clearance-Rack Shoe Hunters 2,994 December Running Newcomers 2,125 Full-Price Road Regulars 3,566 Counter-Fit Running Households 3,146 New Year Speed Seekers 3,307 Shoebox Purists 10,120 Run-Club Shoe Faithful 9,790 Promo-Timed Online Shoe Shoppers 4,300 Clearance-Rack Shoe Hunters 3,150 December Running Newcomers 1,950 Full-Price Road Regulars 3,350 Counter-Fit Running Households 3,210 New Year Speed Seekers 3,700 Shoebox Purists 10,260 Run-Club Shoe Faithful 9,830 Promo-Timed Online Shoe Shoppers 3,800 Clearance-Rack Shoe Hunters 3,300 December Running Newcomers 1,760 Full-Price Road Regulars 3,120 Counter-Fit Running Households 3,290 New Year Speed Seekers 4,120 Shoebox Purists 10,420 Run-Club Shoe Faithful 9,880 Promo-Timed Online Shoe Shoppers 3,350 Clearance-Rack Shoe Hunters 3,420 December Running Newcomers 1,560 Full-Price Road Regulars 2,900 Counter-Fit Running Households 3,380 New Year Speed Seekers 4,560
READING 2 · 3 MAR 39,480 customers READING 3 · 31 MAR +1,517 in · −1,527 out Shoebox Purists Run-Club Shoe Faithful Promo-Timed Online Shoe Shoppers Clearance-Rack Shoe Hunters December Running Newcomers Full-Price Road Regulars Counter-Fit Running Households New Year Speed Seekers 10,420 ▲ 9,880 ▲ 3,350 ▼ 3,420 ▲ 1,560 ▼ 2,900 ▼ 3,380 ▲ 4,560 ▲
  • +38% New Year Speed Seekers, since the Training
  • -30% Promo-Timed Online Shoe Shoppers, as the season ends
  • 2,965 customers moved segment across three Readings

Pacewright Running, a Neuralift demo brand: 8 of the segments from its run, at their run sizes, with illustrative movement between Readings. Your segments come from your own customers.

Know what changed. Know why it matters. Know what to do now.

Activation

Now put it to work.

The model doesn't stay in a dashboard. Explore the action plans in the app, ask anything of your segments from the AI tools you already use, and build on the enriched tables written back to your warehouse.

In the Neuralift app

Action plans, ranked and ready

Every Ranked Action lives in the app with its audience, expected value and the brief behind it, ready to explore and hand to whoever runs the campaign.

Through MCP

Ask anything, in the AI you already use

Every output of the deep learning and the segment-level reasoning is exposed over MCP: ask freeform questions, generate reports and briefs, and ground generative copy in what the model actually found.

In your warehouse

Your data, written back richer

Everything is written back to your warehouse as new tables: every customer's segment, enrichment and context, refreshed each Reading. Build your own models and AI applications on top, and the intelligence compounds.

Start here

Got a question for Neuralift?

Our team is always happy to talk through your customer data challenges and opportunities. We usually respond within a day, and we love helping teams see what their customer data can tell them.

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