Interests and preferences. Solution Retail Rocket Smart Placement is a native promotion of goods on the virtual shelves of online stores. The tool works by analogy with personal recommendations: algorithms take into account the interests of users and offer them suitable products from the brand’s assortment. Precise targeting allows you to show the right products to a brand-relevant audience, and not to all users of the site. For a retailer, this solution helps ensure the growth of key business indicators: turnover, number of orders, revenue. Brands – allows you to expand the sales funnel, recruit new customers, increase brand awareness and increase LTV.
IN relevant product categories as relevant targeting
Result Danone received 422% of ROMI thanks to the sponsorship placement of Retail Rocket on SberMarket case To develop the Prostokvashino trademark among visitors to the SberMarket online platform, Danone decided to conduct a marketing campaign. Since the number Paraguay Mobile Number List of orders directly depends on the correct targeting and the number of views of the product by interested users, it is necessary to carefully approach the audience segmentation process in order to ensure the maximum conversion of potential buyers. The artificial intelligence that underlies the solutions of the Retail Rocket platform helps with this. It takes into account the interests and behavior of each client.
Depending on the interests of each client
The history of purchases and search queries, uses predictive analytics technologies and, based on this data, offers suitable products at all stages of the Customer Journey. At the same time, the brand can set up the display of recommendations for certain products of USB Directory its range (new items, discounted products, etc.) in widgets and select a priority audience segment. For example, those who: regularly buys in product groups that are complimentary to the brand; never bought goods in a product group; interested in products in a brand-relevant product group; enters in the internal search on the site keywords that are relevant for the brand’s products.
