For D2C eCommerce Brands

increase your aov by >30% in the next 90 days with ai-powered cro automation

Get your customers to buy more and buy again, using AI-powered segmentation, on-site reommendations, and perfectly-timed offers that make saying 'no' feel stupid.

You're losing at least $200,000 every month to these 3 silent revenue killers

Most D2C brands are leaking revenue at 3 critical points in the customer journey. Fix these, and your revenue explodes — without spending another dollar on ads.

Killer #1: The 'One-Time Buyer' Trap

68% of your customers buy once and never come back.

The COST: If you AOV is $75 and you acquire 1,000 customers/month, you're leaving $51,000/month on the table by not getting them to buy again 

Why it happens:

  • Generic thank-you pages with no next-step offer
  • No behavioral segmentation in email flows
  • No retargeting to high-intent abandoners

Killer #2: The 'Random Recommendations' Problem

Your product recommendations are either non-existent, random, or based on 'what's popular' — not what THIS customer actually wants.

The COST: Your current PDP conversion rate is probably 1.5-2.5%. Personalized recommendations can lift this to 3-4%. That's DOUBLING your revenue from the same traffic 

Why it happens:

  • No unified data layer (clickstream + orders + reviews disconnected)
  • Shopify's basic 'related products' algorithm
  • No AI analyzing purchase patterns, reviews, or behavior

Killer #3: The 'Spray and Pray' Retargeting Disaster

You're retargeting everyone the same way — cart abandoners, loyal repeat buyers, one-time purchasers — with the same creative and same offer.

The COST: Your ROAS could be 2-3x higher if you segmented by predicted LTV and sent personalized offers

Why it happens:

  • No smart segmentation synced to Meta/Google
  • Generic discount codes instead of personalized incentives
  • No LTV prediction to know who's worth spending more to re-acquire

The Hidden Opportunity

Acquiring a new customer costs 5-25x more than getting an existing customer to buy again.
Yet most D2C brands spend 80% of their budget on acquisition and only 20% on retention.

What if you could get the same revenue growth by selling MORE to the customers you ALREADY HAVE?

The ltV max engine: the only cro system built to maximize aov and customer lifetime value automatically

Finally, a CRO platform that doesn't just 'test button colors'.
LTV Max uses AI to predict what each customer wants next — and shows it to them at exactly the right moment across your site, emaill and ads.

CRO Agent

Unified data: clicks + orders + reviews + support

The 3-Touchpoint Repurchase Loop

Thank-You Page

What happens: Customer completes purchase -> AI analyzes their cart + browsing history + predicted LT -> Instantly shows personalized 'Complete Your Set' offer widget

Example:
Customer buys a yoga mat -> see offer for yoga blocks + strap bundle (33% off if added now)

Avg.conversion: 14-22% of customers add another item

Follow-up Email (24-72h)

What happens: If no second purchase -> AI sends personalized email with recommended products based on what similar high-LTV customers bought next

Example:
'Sarah, here's what 1,200+ yogis added to their mat' -> 3 personalized product recommendations

Avg.conversion: 8-12% click-through -> 3-5% purchase

Retargeting Ads (7-14 days)

What happens: If stil no second purchase -> Customer added to 'High-intent, single purchase' segment -> Retargeted on Meta/Google with personalized offer + social proof

Example:
Meta ad: '1,200+ yogis love this combo' + specific products they viewed + limited-time discount

Avg.ROAS: 4.2-6.8x (vs. 2.1x for generic retargeting)

The average D2C customer needs 7-9 touchpoints before making a second purchase. This system delivers 3 highly personalized touchpoints automatically — without you lifting a finger.

from setup to revenue lift in 90 days

Here's the exact process to get you to >30% AOV increase.

Unify Your Data

Week 1

We connect your eCommerce platform (Shopify/WooCommerce/Magento), review platforms, and customer support data into one unified data layer.

What you get: Single source of truth — every click, purchase, review and support ticket in one dashboard.

Baseline Analysis & Strategy

Week 2

Our AI analyzes your last 12 month of data to identify:

  • Your best customers (highest LTV cohorts)
  • Your worst-performing pages (lowest CR/AOV)
  • Your biggest revenue opportunities (underperforming segments)

Deploy On-Site Widgets

Week 3-4

We install AI-powered recommendation widgets on your:

  • Product pages ('Frequently bought together' + 'Similar items')
  • Homepage ('Recommended for you')
  • Thank-you page ('Complete your set' offers)
  • Category pages (personalized sorting)

✔️ All widgets A/B tested against your current setup to prove lift

Create High-LTV Segments

Week 5

Our AI creates dynamic customer segments based on purchase frequency, AOV, predicted LTV, product affinities, review sentiment, and support history.

What you get: 10-15 high-value segments auto-synced to your ESP (Klaviyo etc.) and Meta/Google ads.

🎯 Segments include: 'High LTV Single Purchase', 'Cart Abandoners High Intent', 'VIP Customers'

Automate Email & Retargeting Flows

Week 6-7

We set up automated flows for each segment:

  • Email: post-purchase sequences, win-back campaigns, VIP nurture
  • Ads: Meta/Google audiences with personalized creative recommendations

🚀 Set-and-forget automation that drives repeat purchases 24/7

Track, Optimize, Scale

Week 8

Monitor performance in real-time dashboard showing AOV lift by channel, LTV by cohort, revenue attribution by widget/flow, and A/B test winners.

What you get: Monthly optimization report + quarterly strategy calls to scale what's working.

⏰ 15 minutes/week to review dashboard (we handle the optimization)

Your Timeline to Results

Day 7

Full automation running

Day 14

First measurable lift

Day 30

10-15% AOV increase

Day 90

30%+ AOV, 2x LTV

QUESTIONS? we've got answers

What does StackTome’s reviews management tool do?

How big my ecommerce store should be to be able to use StackTome?

How easy is it to integrate with StackTome?

How many campaign emails can I send per month?

Can StackTome help me rank higher on Google?

Are there any metrics I can follow?

Can I customize my reviews widget?

How can I deal with negative reviews?

Can I moderate customer reviews?

What happens to my company's reviews if I stop using StackTome's services?

ready to increase your aov by >30% in the next 90 days?

Book a 30-minute strategy call. We'll audit your current AOV/LTV metrics, show you exactly where you're leaving money on the table, and map out a custom plan to hit your revenue goals.

What happens on the call

STEP 1

We audit your store

(10 min)

STEP 2

We show you the opportunity

(10 min)

STEP 3

We build your roadmap

(10 min)

This isn't a high-pressure sales call. If LTV Max isn't a fit, we'll tell you. If it is, you'll leave with a clear roadmap whether you work with us or not.