LAPIO.AI LAPIO.AI

Stop guessing how to allocate your eCommerce marketing budget

Lapio continuously ranks your customers by future revenue likelihood and directs marketing spend toward those most likely to buy again. No more dashboards, reports, or manual decisions needed.

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Built for

INTEGRATES SEAMLESSLY WITH

Separate future winners from one-time buyers

Use early purchase behavior and behavioral trajectories to rank customers by their probability of generating repeat revenue, not just who bought recently.

Stop spending equally on unequal customers

Focus budget on customers with the highest future revenue likelihood and use their data to attract more customers like them.

🚀

No analysis required

Complex modeling runs continuously in the background, producing ready-to-use customer rankings without dashboards or manual decisions.

Most eCommerce marketing targets recent buyers, not future repeat buyers

72%

of eCommerce customers never return

Source
61%

of eCommerce revenue comes from repeat customers

Source
Up to 30%

of marketing spend is wasted due to poor targeting

Source
With Lapio, you spend premium channels on customers predicted to generate future revenue and reach the rest through cheaper channels.

Then you use your best customers to acquire more like them.
Store connection and prediction models

Connect Your Store and Train Store-Specific Prediction Models

Connect your store once and Lapio trains store-specific models on your transaction data to rank customers by where they are in their lifecycle and where they are likely going next.

  • One-time store connection
  • Models trained on your store's unique data
  • Rankings continuously updated as behavior changes

Allocate Spend to Predicted High-Value Customers

Customers in the same lifecycle stage behave differently. Lapio models behavioral trajectories to distinguish high, medium, and low future buying likelihood within each stage.

  • Clear signal on who to push, nurture, or deprioritize
  • Less spend wasted on customers unlikely to convert
  • One consistent framework from first purchase to churn risk
Allocate spend to high-value customers
Build better lookalike audiences

Build Better Lookalike Audiences

Acquisition quality depends on the data used to train ad platforms. Lapio uses your highest-ranked customers as lookalike seeds so ad platforms optimize for future value, not cheap clicks.

  • High-value lookalike seeds built from your highest-ranked customers
  • Cleaner training data for ad platforms without dilution from low-value buyers
  • Higher-LTV customers over time

Always Up to Date, Automatically

Customer behavior changes continuously. Models retrain as new data arrives, and customer rankings update automatically as customers move through their journey.

  • One-time setup
  • Rankings stay fresh across channels
  • No ongoing analysis or maintenance needed
Always up to date automatically

Predictive targeting beats manual segmentation

Future value scoring
Lapio
Yes: Continuous ranking by likelihood to generate future revenue
RFM & Rule-Based segments
No: Grouped by recency, frequency, monetary thresholds
Segmentation logic
Lapio
Yes: Predicts what customers are likely to do next
RFM & Rule-Based segments
No: Only reflects past behavior
Intent tiers
Lapio
Yes: High / Medium / Low tiers auto-derived from live ranking
RFM & Rule-Based segments
No: Tiers defined by static RFM scores or fixed rules
Automation
Lapio
Yes: Intent tiers update automatically
RFM & Rule-Based segments
No: Segments require manual review & updates
Early customer insight
Lapio
Yes: Identifies high-potential customers after first order
RFM & Rule-Based segments
No: Underweights new customers until they build frequency
Activation readiness
Lapio
Yes: Tiers ready to use in flows, ads, and lookalikes
RFM & Rule-Based segments
No: Needs manual interpretation before use
Lifecycle-awareness
Lapio
Yes: Scores customers separately by lifecycle stage
RFM & Rule-Based segments
No: One static segmentation applied to all customers regardless of stage

FAQ

Lapio is built for eCommerce teams that actively invest in paid marketing and lifecycle campaigns and want stronger returns from that spend in terms of ROAS, customer LTV, and repeat revenue.

The product works better the more transaction data you have, which typically means stores with at least $100k in annual revenue. Very early-stage stores with limited purchase history will see less value.

Lapio shifts marketing spend toward customers who are most likely to generate future revenue across retention and acquisition.

Lapio helps you:
- Allocate your marketing spend to high-intent buyers throughout the customer lifecycle, improving ROAS and repeat revenue
- Use your highest-value customers as cleaner seed audiences for acquisition, leading to higher-LTV customers entering your funnel

All of this happens automatically as customer behavior changes, without manual rules or ongoing maintenance.

Just 15 minutes.

Lapio connects to your store and marketing platforms, and the system trains itself on your transaction data. Intent-based segments are then created and synced to your marketing tools.

From that point on, audiences stay fresh automatically. New customers are scored on arrival, and customers move between segments as their behavior changes. No manual maintenance or ongoing work required.

Yes. Lapio replaces static RFM and rule-based segmentation logic with predictive High / Medium / Low intent tiers inside each lifecycle stage.

Instead of maintaining thresholds and rules, segments are updated automatically based on how customers are likely to behave next.

Lapio doesn't modify or interfere with your existing flows.

Lapio creates new High / Medium / Low intent audiences for each lifecycle stage and syncs them to your existing marketing platforms. You choose where and how to use these audiences, either by plugging them into existing flows or by creating new ones.

Your current setup continues to work as before. Lapio simply gives you more precise audiences to target.

Once Lapio is connected to your store and marketing platforms, customers are continuously scored and placed into the correct High / Medium / Low intent segment for their current lifecycle stage. Audiences update automatically as customers progress through lifecycle stages.

Once it's live, you don't touch the segments again. They stay fresh automatically and you can use your time to campaigns and creative, not rule maintenance.