Identify the product combinations most in demand by your prospects and customers - Anglais
Solution
Marketing Mix Modeling
Attribution
Analytics
Activation
Module
Drive & Analyze
To plan
Enable
Data mining
Privacy Center
Problematic
Inventory Optimization: E-commerce businesses often struggle to predict which products will be most popular and which product combinations will be in high demand. This inaccuracy can lead to overstocking or stockouts, impacting sales and customer satisfaction.
Personalization of the Customer Experience: In a crowded e-commerce market, offering a personalized customer experience is crucial to stand out. Companies struggle to identify their customers’ specific preferences and offer relevant product recommendations.
Increasing Average Basket Value: Many businesses are looking to increase average basket value but lack the insights to identify which complementary products are most likely to be purchased together.
Difficulty
Simple
Intermediate
Advance
Solution
The Cross Product solution offered by Eulerian allows the Client to identify the best product combinations in 3 dimensions:
Pairs of Products viewed within the same session
Pairs of Products added to the cart within the same session
Pairs of Products purchased within the same session
Use cases
Optimization of Purchasing and Inventory Strategies: Using our solution, an e-retailer can analyze purchasing trends to identify the most requested product combinations. For example, an online clothing store might discover that customers frequently buy shirts with certain types of pants. This information would allow them to better manage inventory and plan purchases accordingly, thus reducing costs related to overstocks and stockouts.
Personalized Product Recommendations: A business can offer product recommendations based on data from past purchasing behaviors. For example, an e-commerce site selling electronics could automatically suggest compatible accessories when a customer views a primary product, increasing cross-selling and customer satisfaction.
Create Targeted Marketing Campaigns: Using the insights provided by our solution, marketing teams can create targeted ad campaigns that highlight the most popular product combinations. For example, an online beauty company could run a social media campaign highlighting a set of skincare products that are often purchased together, increasing engagement and conversions.
Product Bundle/Pack Creation: A dietary supplement brand can use our solution to analyze sales data and identify product combinations that customers frequently purchase together. With this information, the company can create attractive and relevant product bundles or packs for their customers.
Putting into practice
Find your Cross-Products report via the following path:
Analytics > Report Center > Widget >+ New widget
- The widget creation screen appears on the screen
- Select the data source "My Products", then "Cross-Product"
The following result appears:
Description of the columns:
Name
Description
KPI
Query component
product . name
product name 1
n / A
by product ref
product . ref
Product SKU 1
n / A
by product ref
perproductref . name
product name 1
n / A
by product ref
perproductref . ref
Product SKU 1
n / A
by product ref
date - 1
period analyzed
n / A
Date selection
group - 1
Product SKU 2
n / A
group by product
visit_product
number of sessions for which both products were viewed
visit_product
n / A
cart_product
number of baskets started for which both products were added to the basket together
cart_product
n / A
order_product
number of sales where both products were viewed together
order_product
n / A