Increase average basket size through intelligent recommendations

Increase your average basket size with the TMS + CDP duo. By combining immediate intent and purchase history, you can offer highly relevant upsell and cross-sell offers at key moments in the customer

1. Business value: Guarantee actionable and certified data

The intelligence of the CDP + TMS mix allows you to move from generic recommendations to highly personalised offers that boost profitability.

• Increase in average basket size (AOV): Offering the essential accessory or premium option at the right time automatically increases the value of the transaction.

• Improved Customer Lifetime Value (LTV): By suggesting products that truly match the user's historical needs, you increase their satisfaction and loyalty.

• Timing relevance: Thanks to TMS, the offer is displayed exactly when the user is in a buying mindset, maximising the offer acceptance rate.

2. Implementation methodology

Step A: Profile and history analysis

The CDP identifies customer segments (e.g., ‘High-Tech Buyers’) and their purchase history. It prepares the attributes that will be used to define which product category to recommend.

• Action: Identify the ‘hero’ products and their associated complementary products in your database.

Step B: Capturing current intent in the CDP

The DataCommanders tag detects the product currently being viewed or added to the basket. This ‘hot’ data is immediately compared with the CDP data.

• Action: Configure the DataCommander tag and the variables to be retrieved from the CDP (e.g. price, category) to trigger the recommendation.

Step C: Triggering the recommendation

The TMS displays a pop-in or dynamic block ‘Complete your purchase’ or ‘Upgrade to the next level’ using information from the CDP to personalise the offer.

• Action: Set exclusion rules (e.g. do not offer a product that the customer already owns).

Step D: Analysing the increase in value

Track the change in the average basket size of users who interacted with the recommendations compared to those who were not exposed to them.

3. Typical use cases

1. E-commerce (Cross-sell): A user adds a pair of running shoes. The TMS, knowing via the CDP that this is a regular customer, displays an offer: ‘Enjoy 20% off this set of technical socks to go with your new shoes’.

2. Services / SaaS (Upsell): A user views a standard subscription offer. The CDP identifies a ‘Business’ profile; the TMS then displays a comparison highlighting the benefits of the ‘Premium’ offer.

3. Tourism/Travel: When booking a flight, offer a travel insurance or car rental option based on the chosen destination and traveller profile (family vs. business).

Need help making your data flows more reliable?

The CDP + TMS alliance is the engine of your performance. Our experts will help you configure your segments and display scenarios for maximum efficiency. Contact our support team: [email protected]