Low-Lift, High-Impact Commerce Tactics to Boost Conversion

Quick wins and functionalities you can implement today.

Samira Kashani Ebrahimi, Value Delivery Manager, Salesforce

Author: Samira Kashani Ebrahimi

I've been a part of the Salesforce Commerce team for almost a decade — originally as a Solutions Engineer and now as a Value Delivery Manager. Throughout my career, I've supported multiple segments and verticals within the Retail and Consumer Goods sectors, including SMB, GRB, and Enterprise.

In my current role, my focus is on monitoring and understanding shopper journeys so I can help Commerce Cloud users accelerate business growth through strategic product utilization. In this guide, I share a few insights that will help commerce teams quickly improve conversion rates and customer satisfaction.

How to create a customer group in Commerce Cloud

Personalize customer experiences based on their browsing locations, demographic location, or real-time site behaviors. Depending on the types of groups you create and the conditions you set, you can deliver tailored content, campaigns, and promotions to different users.

Use Page Designer to craft engaging web pages without code

Follow along to design on-site content and marketing experiences like seasonal sales banners, product launch landing pages, holiday promotions, and more. Personalize the customer journey to boost brand awareness, AOV, and customer loyalty. optional

Product recommendations

If you could make finding the right product as fast and easy as possible for your shoppers, wouldn’t you? Product recommendations make it happen. This functionality helps you get the right items in front of the right customers at the right time — automatically.

There are a few different ways to use product recommendations within a commerce platform. Here are a few high-impact strategies for peak traffic moments.

Recommendation type What it does Why it works
Real-time personalized Generates recommendations by analyzing the customer's current viewing and purchasing behavior as well as viewing and purchase history. Shoppers feel seen and understood when recommendations have similar qualities, themes, or attributes as recently viewed products.
Customers also bought Generates recommendations by analyzing the purchasing behavior of other customers who bought the same product. Validates a shopper’s interest and potential purchase decision by displaying other items bought by like-minded customers.
Recent top sellers Generates recommendations by analyzing the revenue for products recently purchased by other customers. Pique shoppers’ interest and curiosity by displaying trending and popular products.
Recently viewed Generates recommendations based on items that the customer recently viewed. Keep customers engaged in the journey by reminding them of items they clicked into.
Product affinity Generates recommendations by analyzing the product's similarity to other products. Suggests alternatives and similar products, increasing likelihood of conversion.