Monitor & control business performance with complete Customer & Product Analytics

Understand business health to make informed decisions based on powerful “Customer-centric” Customer & Product KPIs, to achieve better customer retention and faster product sell-off harnessing the power of AI.

Executive Level KPIs

Executive Level KPIs

Churn, Growth, Repeat Purchase Ratios along with LTV & Gross Margin KPIs for both customers & Products.

Performance Level KPIs

Performance Level KPIs

Revenue, Orders, Recency Insights with Time b/w Purchases, AOV & Gross Profit KPIs for both customers and products.

Single Business Score

Single Business Score

A single business score with 360° business view derived from expert analysis of most insightful KPIs.

Executive Level KPIs

All-inclusive crucial Business Insights

Executive-level KPIs to help recognize and achieve business success.

Lifetime Value

Lifetime Value LTV is an estimate of the average revenue that customers/products of the store will generate throughout their lifespan. This value can help to take various business decisions with respect to marketing budget, profitability and forecasting. Many tools provide only Customer Lifetime Value (CLTV), Enalito serves Lifetime Value of Products as well.

Orders per Customer/ PRR

Orders per Customer shows the number of orders placed on average by All and Active Customers. It shows how many products are bought by each customer on the store. In Product Analytics, Product Repetition Rate (PRR) is the similar term for products, that means how many times the products (each product) on the store are averagely bought.

Margin

Total Margin of Customers shows the percentage of revenue earned from them after deducting the total expenses made to acquire or sell to them. Similarly, Gross Margin of Products shows the percentage of revenue generated by subtracting the Cost of Goods Sold (COGS). Margin insights allows better business understanding for improving marginal profits.

Churn/Fading Rate

Customer Churn Rate denotes the percentage of customers moving out of a collective group (segment) of customers over a specific period by not making any purchases. Similarly, Product Fading Rate denotes the percentage of products fading out of a collective group (cluster) due to not making any sales during a specific period.

Growth/Intro Rate

Customer Growth Rate shows the percentage at which a customer base is growing during a period of time. It reflects how many new customers a business has gained for a time period. Similarly, Product Intro Rate shows the percentage at which new products are introduced to the inventory of the store. It shows how often the inventory gets updated.

Repeat Purchase/Sale Rate

Repeat Purchase Rate shows percentage of customers who came back for another purchase.It denotes percentage of customers who purchased repeatedly from the store. For Products, Repeat Sale Rate denotes percentage of products that attracted repeat sales. It shows how many products were able to score multiple sales on store.

Performance Level KPIs

Detailed Business Performance Insights

All-round business performance insights to enhance each business aspect.

Revenue

Revenue KPI shows the amount contributed by All customers & Active customers. Its value is mentioned along with the positive/neutral/negative standing of customers in comparison to the previous revenue stats. For Product too, Revenue KPI shows the amount contributed by the sales of All & Active products.

Orders

Orders KPI shows the number of orders placed by All customers and Active customers. The graphs denote the varying values with time and the change in trend. Under Product Analytics, Orders KPI shows the number of placed for the products of the store. Orders Insights helps to find out the performance of customers as well as products.

Recency in Days

Recency in Days KPI represents the average number of days before which the customers made the purchases. The least the value of Recency in Days, more close to the present day the purchases were made. Under Product Analytics, Recency in Days denotes the average number of days before which the products get sold.

AOV/APS

Average Order Value (AOV) denotes the average value of orders placed by All, Active or a particular segment of customers. It is the average of all the orders placed by the customers. In Product’s Context, AOV is replaced by Average Price Sold (APS), which denotes the average value at which the products of the store get sold.

Time b/w Purchases

Time b/w Purchases KPI shows the average number of days taken by customers between making two purchases. The least difference existing between two purchases is best for a business. Under Product Analytics, Time b/w Purchases denotes the average number of days taken by products to score repeat sales.

Profit

Total Profit of Customers shows the value of profit earned after subtracting from revenue the total expenses made to acquire them. Similarly, Gross Profit of Products shows the value of profit generated after deducting the Cost of Goods Sold (COGS). Profit insights allow better understanding of store’s monetary standing.

Acknowledge true business performance

Business Score sums up the business health based on the meaningful KPIs that reflect the true standing of the store. You can track and view whether KPIs such as Order Count, Total Purchase Amount, Average Order Value are negative, positive or neutral compared to the past performance of the store. Acknowledge the business view to understand the present direction of the business and determine the future strategy.

Realize independent impacts of customers & products

Customers & Products are equally the most important entities for a retail business. Enalito knows this and delivers the complete overview for decision making and achieving revenues to the full extent of the business potential. It denotes how customers and products independently impact your business performance. Realize the contribution of customers as well as products to know and lead the business as you want.

Recognize trends of business growth

Read and analyze the complete reporting of customers and products. The negative, positive and neutral contributions towards the KPI trends are clearly highlighted. Take corrective measures towards the customers and products with the suggested in-built campaigns for improving business performance status. You can create your own campaigns too, to improve business performance for one or as many KPIs.

Store Performance – Customers Contribution

  • Business Score
  • Orders
  • Revenue
  • Average Time Between Purchases
  • Average Order Value
  • Recency Of Purchases
  • Overall Discount %

  • Digital Spend
  • Active Customers
  • Positive Customers (For each KPI)
  • Negative Customers (For each KPI)
  • Neutral Customers (For each KPI)
  • % Change In Trend
  • Current Trend

  • Previous Trends
  • Purchase Behavior Analysis
  • Browsing Behavior Analysis
  • Cart Abandoned Behavior Analysis
  • Email Interaction Analysis
  • Predictive Future Performance

Store Performance – Products Contribution

  • Business Score
  • Orders
  • Revenue
  • Average Time Between Purchases
  • Average Price Sold

  • Recency Of Products Sold
  • Overall Discount %
  • Active Products
  • Positive Products (For each KPI)
  • Negative Products (For each KPI)

  • Neutral Products (For each KPI)
  • Purchase Behavior Analysis
  • Browsing Behavior Analysis
  • Quantity Sold
  • Predictive Future Performance

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