Customer Data Platform

Customer Data Platform (CDP)

A CRM built for marketing

Every day, the AIM AI assistant reviews your data and tells you what to tackle first. Member data lives in one place, and marketing journeys take over the execution automatically.

Why a CDP
Features
AI predictions
CDP modules

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AIM smart home page: an AI assistant lists the top three things to act on this month, with four metrics: order value, average order value, repurchase rate and new-member first-purchase rate

Online sales increaseFinancial services client, after rollout: 140%
Annual revenue growthApparel brand, after rollout: 31%
Financial services companiesUse ESi MarTech solutions: 30+

Why do you need a CDP?

Customers move between your website, app, stores and LINE, but their data is scattered across systems. A CDP connects it all into one person.

Every interaction is digital
Customer touchpoints are now fully digital, and your ability to collect and organize interaction data determines how precise your marketing can be.
Journeys are no longer linear
Customers jump between channels and their behavior is fragmented, so each person's journey needs to be pieced together.
First-party data
As anonymous interactions grow, companies must rely on their own first-party data to build a picture of their customers' digital profiles.

CDP modules

Five modules for complete member management

AI diagnostics
AI explains why sales changed and proposes campaigns for your approval.
Audiences and tags
Combine conditions to build audiences and estimate reach on each channel before sending.
Marketing journeys and automation
Set it up once, and the system sends the right message whenever conditions are met.
Omnichannel messaging and results
LINE, email, SMS and web push, tracked all the way to revenue.
OMO integration
Store advisors build relationships with regulars on LINE, and sales are attributed automatically.

AIM audience lists: cards for lists such as active users, high purchasers in the last 7 days and repurchase reminders, showing reachable counts on LINE, EDM and SMS, with a custom list table below

Audiences

Build an audience, send right away

Ready-made audiences: lists such as high spenders in the last 7 days, repurchase reminders and churn win-back update daily, with estimated reach for LINE, email and SMS.
Dynamic or static: save the conditions and the audience updates with your data; save the list and it keeps the people from the moment of the campaign.
One-click sending: audiences connect directly to omnichannel messaging and marketing journeys, with no exporting or importing.

AIM product tags: a donut chart of tag coverage by category, with tags such as collar type, sleeve type and pattern and their tagging counts on the right

AI product tags

Read preferences from past purchases

AI auto-tagging: products are tagged by attributes such as collar, sleeve, pattern and material, and tag coverage is clear at a glance.
Suggested new tags: AI proactively suggests tags you haven't used yet or could add.
Extended to customers: preferences are inferred from the features of products each customer has bought, for sharper segmentation and recommendations.

AIM marketing journey editor: members are split by membership tier, then smart channel selection automatically sends via LINE or SMS

Marketing journeys

Drag-and-drop journeys, right channel

Branch by condition: handle members separately by card tier, tag or behavior, so each group gets the right content.
Smart channel: the same message automatically goes out by LINE or SMS, whichever reaches the customer best.
Real-time results: reach and conversion at every step flow back into the CDP, closing the loop for continuous optimization.

AIM multichannel messaging: ROAS, revenue and spend cards for LINE, Email and SMS, with open, click and order results for each message below

Omnichannel results

Track every message to revenue

Compare channels side by side: revenue, spend and ROAS for LINE, email and SMS on one page.
From open to order: opens, clicks, add-to-carts and orders for every message, tracked all the way to revenue.
Other channels too: web push and Google and Meta ad results are here as well.

AI Models

Predict customer behavior with AI models

RFM segmentation
Segment customers by purchase recency, frequency and monetary value, spot opportunities as segments shift, and design campaigns that drive action.
Product recommendations
Predict which products customers are likely to want soon, recognize them at every touchpoint in real time and recommend accordingly.
Customer lifetime value
Predict each customer's lifetime value (LTV) to allocate and plan acquisition budgets precisely.

Since adopting the CDP platform, annual revenue has grown 31.1% and average order value 17.7%!

Assistant Vice President, apparel brand

Filtering audiences by tag has made our marketers far more efficient.

Business analyst, property insurer

Much of the work we used to do by hand now runs automatically through scenario settings.

Retail e-commerce company

More case studies

Customer Success

After rollout, we help you put it to work

A successful CDP takes more than connecting system data. It also needs a customer success manager working with you after launch.

In-depth data research
Study the data in your CDP to find the basis for your next move.
Turn marketers into CSMs
Help marketers become Consumer Success Managers who keep improving the customer journey.
Grow maturity step by step
Raise the maturity of your CDP use step by step, based on how your company uses data today.