You’ve invested so much time and effort in your Shopify store to offer your customers a seamless experience. But does your business have the right tools to help you truly understand your customers and build perfect experiences for them?
Luckily, there are plenty of tools that integrate with your Shopify store to help you with automation, customer analytics, product analytics, and better reporting.
eCommerce owners often ask us how Reveal is different from Glew. After comparing these two tools, we can say that although they have similar features, there are some key differences.
Also, looking at Glew reviews, and the ones received for Reveal, customers’ feedback emphasizes that the tools address different needs.
Let’s explore the features of Reveal and Glew.
How does each app help your eCommerce business?
REVEAL is a Customer Value Optimization Platform that uses Recency, Frequency, and Monetary Value (RFM) analysis for customer segmentation and automatically generates insights to help Shopify merchants understand customer behavior and grow their eCommerce business by focusing on what matters most.
Glew is an alternative for a business intelligence platform and it is designed for eCommerce businesses that want to connect the tools used in sales, marketing, inventory, shipping, subscriptions, etc., and to visualize all their data in one place for cross-channel reporting.
As a Customer Value Optimization platform, REVEAL helps you see the full picture of your eCommerce store and enables you to perform deep customer analysis without wasting hours on manually aggregating data.
As an all-in-one tool, Glew helps online businesses pull data about their customers from various eCommerce platforms that they are using.
What customer insights can you extract?
Reveal gives customer-centric companies the most important data they need to monitor and influence their customer’s behavior.
Using this Customer Value Optimization (CVO) platform you can extract actionable insights such as:
- How good you are at keeping customers close in the long term (RFM distribution, Retention Rate, Cohort Analysis)
- Who are your ideal customers (Customer Lifetime Value/ CLV, Average Order Value/ AOV)
- What can you learn from their behavior to improve marketing efforts and onboarding programs (Buyer habits)
Glew gathers customer data across platforms to help merchants:
- Understand who their customers are
- Find the right balance between acquisition and retention
- Identify opportunities to increase AOV and LTV
- See how customers interact with their store over time
How customer segments are generated and what customer segments you can create
Reveal uses RFM segmentation to help you identify the most important type of customers by grouping them according to their scores for Recency (R), Frequency (F) & Monetary Value (M). Our team helps you define the point values for R, F, M so they make sense for your type of activity and business size.
Once REVEAL accesses RFM values from your customer’s historical data, it will assign a score from one to five to recency, frequency, and monetary values for each customer. Five is the best/highest value, and one is the lowest/worst value. A final RFM score is calculated simply by combining individual RFM score numbers.
REVEAL applies RFM Segmentation and automatically displays customer groups: Soulmates, Lovers, New Passion, Flirting, Potential Lovers, Platonic Friend, About to Dump You, Don Juan, Ex-Lovers, Apprentice, Break-Up.
Besides RFM segmentation, in Reveal, you can create segments for your customers in various ways based on:
- Customer behavior
- Customer Lifetime Value or Average Order Value
- Net Promoter Score (NPS)
- Chances to place another order
- Cohort analysis
- Revenue vs. Margin by RFM Group
Revenue vs. Margin by RFM Group
Unlike REVEAL, Glew does not use RFM segmentation, but groups customers based on predefined categories that are dependent on the integrations with other tools you’re using.
So, in Glew, you will find over 30 predefined segments that can be grouped in categories such as purchase history, customer status, loyalty, lifetime, interval-based. Some of the predefined segment names are Abandoned Cart, Lost, Smile Loyalty Customers, Single Purchase Customers, Recent Purchase.
If you want to create custom segments in Glew, you can filter your customer database by customer tag, new customers, repeat customers, purchasing customers, orders, revenue.
What metrics can be used to analyze your customers?
Reveal helps eCommerce store owners and managers analyze their segments from multiple points of view. In this CVO platform, you will find metrics related to customer loyalty, segment profitability, customer experience, individual customer success, customer product preferences, customer predictions, and reaction to marketing campaigns.
RFM segmentation allows you to analyze customers by looking at metrics such as:
- Revenue vs. Margin by Customer Type
- Revenue vs. Margin by RFM Group
- Revenue by RFM Group
- NPS per RFM Group
- Order Return Split by RFM Group
- Order Count by RFM Group
- Customer Count by RFM Group
- Margin by RFM Group
- Margin by RFM Group
Revenue vs. Margin by Customer Type
Glew gathers data from various platforms and metrics are split into the following categories:
- Customer insights: relationship lengths, AOV, Margin, etc.
- Customer segments: VIP customers, Active customers, At-risk customers, etc.
- Attribution: Acquisition by channel, first-order attribution, etc.
- Retention: Lifetime value, purchase frequency, etc.
The metrics for product analysis generated by Reveal can be grouped into three categories: product returns, customer satisfaction, and catalog performance.
Product returns show you the worst performing products, brands, and categories and can also reveal different behavior across your RFM segments.
- Order Return Rate – the percentage of orders which contain returned items out of the total number of orders, in the time interval you selected
- Order Return Split – the distribution of orders containing returned items, in the time interval you selected
- Order Return Count – the number of orders which contain returned items, in the time interval you selected.
All three metrics reflecting products returns can be analyzed by:
- Customer Type – product returned by first-time customers and repeat customers
- RFM group – product returned by customers within each of your RFM segments
- Brand – returned items belonging to the displayed brand
Net Promoter Score (NPS) is a key metric for your e-commerce business, helping you predict customer behavior and adjust your efforts to improve retention and customer loyalty. Reveal shows you NPS per:
- Brand – the NPS scores that were given by your customers to the brands they have purchased
- Category – the NPS score given by your customers that bought products from your categories
- Customer Attribute – the NPS score of the customer attribute that you have chosen and defined previously in your database, such as location or gender
- Order Attribute – the NPS score of the order attribute that you have chosen and defined previously in your database, such as delivery time or device used
Your Catalogue is analyzed based on revenue, margin, orders, and the number of customers who have purchased them:
- Top Performing Brands
- Top Performing Products
- Top Performing Categories
In Glew’s platform, the metrics that reflect the performance of your products can be found under the group “Products” with the following categories:
- Product list: cold products, discounted products, high gross margin, etc.
- Segments: high volume, most profitable, nearly out of stock.
- Inventory: variant/ configurable.
- Tags: order and product-level data rolled up by tag.
- Vendors: order and product-level data rolled up by vendors.
- Cost Manager: product cost data.
Reveal integrates well with all major eCommerce platforms either by reading and interpreting JSON feeds through automated or manual import/export or through API access.
Integration with Klaviyo helps you create email marketing campaigns that bring growth to your store by knowing and retaining your customers.
Integration with Shopify helps you monitor and improve Customer Lifetime Value, Retention Rate, and Net Promoter Score and & create personalized journeys via ads, emails & on your website.
Coming soon: REVEAL will soon have a direct integration with Facebook Ads and Google Ads.
Being an all-in-one platform, Glew aggregates data from various tools that help eCommerce businesses thrive online and the most popular tools are Google Ads, Google Analytics, Magento, MailChimp, Shopify, BigCommerce, WooCommerce, YOTPO., ShopifyPlus, Instagram, Gorgias, Facebook, Amazon or Klaviyo.
Which of these two apps are suitable for your business?
By looking at Reveal and Glew reviews, we see that both platforms have positive feedback from their users, but each platform has unique features and helps you achieve different goals.
REVEAL is the best option out there for Shopify stores when it comes to customer lifetime value optimization, customer analytics, and retention optimization.
This Customer Value Optimization tool can help generate eCommerce growth for three different types of users, so we have:
- Reveal for Shopify Stores
- Reveal for non-Shopify Stores
- Reveal for Agencies
Glew is a tool that can help eCommerce companies connect data across the entire business, visualize data in one place, and generate cross-channel reports.
Glew might be an alternative for other Business Intelligence tools and it includes intuitive dashboards and automated reports for:
While Glew helps with aggregated data from various platforms, REVEAL is the tool that offers actionable insights and allows you to push all this valuable data to leverage the potential of the other tools your e-store needs.
Once you integrate REVEAL with your Shopify store, it will deliver automated insights into your customers’ buying behavior to empower your eCommerce business. You will no longer need to spend time and resources to dig into your own data because once installed, REVEAL will generate the most important metrics for your Customer Value Optimization strategies and efforts.