Customer Analytics & Segmentation

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RFM

Segmentation

CRM

Single Customer View

Business

Profitability

Customer

Loyalty

Marketing

Effectiveness

Customer

Experience

Business

Predictability

Product

Affinity

RFM segmentation

Automated RFM analysis helps you define accurate customer segmentation, identify your Ideal Customer Profile so you can focus on nurturing your most important customers.

  • RFM groups
  • Order Count by RFM
  • Customer Count by RFM
  • Revenue by RFM Group
  • Margin by RFM Group
Customer segmentation card labeled 'Soulmates,' indicating the most loyal customers with high average order value (AoV) and recent purchase activity—featuring perfect RFM scores of 5-5-5 for recency, frequency, and monetary value.

CRM / Single Customer View

Improve your Customer Profiles by adding new data to your CRM. Find who your top customers are based on metrics like revenue, margin, and the number of placed orders.

See your entire history with each client in one place.

  • Order Return Split
  • Top Customers
  • Single Customer View
  • Historical CLV
  • Transactional stats
  • Net Promoter Score
  • Revenue & margin
Customer profile dashboard displaying user data for Sam Williams, including personal details, transaction stats, payment and shipping preferences, and order status—used for personalized marketing and customer behavior analysis in eCommerce.

Business Profitability

Find how the Revenue and Margin are distributed between your customer segments. Compare results to determine which customer segments are more valuable to your business.

  • Revenue vs. Margin by Customer Type
  • Revenue vs. Margin by RFM Group
Bar chart comparing revenue, margin, and number of customers across customer segments like Soulmates, Lovers, New Passion, and Platonic Friend—used for RFM analysis and customer value segmentation in eCommerce.

Customer Loyalty

Get insights for an effective customer loyalty program. Push data to various channels and treat customers differently, according to the segment they belong to.

  • Average Days Between Transactions
  • Customer Distribution
  • Chances to next order
  • RFM segmentation
  • Cohort Analysis
  • Avg Retention Rate
Customer segmentation flowchart mapping audience types like Soulmates, Lovers, and New Passion to personalized actions such as custom messaging, gift cards, NPS surveys, and exclusive content.

Empower your Growth Team with powerful Customer insights!

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Empower your Growth Team with powerful Customer insights!

Marketing Effectiveness

Automated customer-driven decisions help you adjust your marketing strategies. Build unique omnichannel experiences for your customers based on their buying behavior.

  • Cohorts by First Purchase Moment
  • Buying Habits
Team of professionals collaborating around a laptop with a 'Share of Margin' bar chart overlay.

Customer Experience

Use pre and post-delivery NPS surveys to give customers a voice and learn how you can improve customer satisfaction and customer experience.

  • NPS per RFM Group
  • NPS per Customer Attribute
  • NPS per Category
NPS dashboard showing a general Net Promoter Score of 84 with segment-specific scores for Soulmates, Lovers, New Passion, Flirting, and Potential Lovers.

Business Predictability

Use historical and predictive analytics to understand your customers’ behavior and anticipate their next moves so you can improve what matters most in eCommerce: Customer Lifetime Value.

  • Predictive Customer Lifetime Value
  • Historical Customer Lifetime Value
  • Predictive CLV by RFM Group
Customer Lifetime Value (CLV) trend graph showing fluctuations from September 2020 to October 2021, with the latest CLV value marked at $98.

Product Affinity

Find the best products that generate loyalty and the worst products that are churning your customers. Use this data for personalized offers and improved sales.

  • Order Return Rate per RFM Group, Customer Type, Brand, Category
  • NPS per RFM Group, Customer Attribute, Brand, Category
  • Buying Habits
Catalog performance dashboard showing product-level metrics for plastic chairs by Herman Miller, including product returns, Net Promoter Score (NPS), and profit margin

Otter.ro case study

“When I saw that there are few customers that have a big impact in terms of revenue for each year and that we are constantly losing a lot of customers, I realised the right thing to do is to look deeper into the customer data.”

Cristian Movila
Former Director of eCommerce , Otter.ro

Watch the video

Reveal dashboard on a laptop highlighting a 30% increase in customer retention rate for Otter.

Let REVEAL show you the most effective way to Customer Value Optimization!

Install Reveal on Shopify

Install Reveal on Shopify

Install a plugin that makes the most out of your first-party data without affecting your dev team’s workload or your store’s speed performance.

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*30 days free trial, no credit card info required

Install Reveal on other platforms

Install Reveal on other platforms

Install a plugin that makes the most out of your first-party data without affecting your dev team’s workload or your store’s speed performance.

Install for free on other platforms

*30 days free trial, no credit card info required