You can find the following topics on this page:
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- Orchestrated personalisation – You don't want to send an offer to a shopper who abandoned their cart online and since then completed the purchase in the store. RMC links customer data from online and offline channels, preventing repeat communications and allowing marketers to deliver the right message every time, everywhere.
- Continuous improvement – Experiment with different strategies using our built-in A/B Testing feature to find the right campaign for every stage of the customer lifecyle and optimise your results.
- Revenue analysis and attribution – Recommend allows you to access and analyse the revenue impact of recommendation campaigns across channels in real-time through a single Performance Dashboard. See the breakdown of revenue across channels and campaigns to optimise your marketing mix and budget.
Recommendation engine algorithms
- Alternative – Recommend similar products or content in same category.
Similar products or content that are browsed together by visitors are tracked by the system and relevant recommendations are shown based on visitor's browse or purchase history, making it easier for customers to find alternative products they might otherwise not know about. If the algorithm fails to find similar items in the same category, it searches for categories that are viewed together the most and displays the most viewed products in that category. Enter your own rules to automatically promote higher ticker items, new brands or tags.
Sample Widgets: Viewed this also Viewed that, Viewed this and Bought that, You might also like (based on browse and purchase history), You might also like (with up-sell rules), You might also like (tag based - pushed)
- Complementary – Recommend complementary products in same or related categories.
Visitors are recommended products that are usually bought together to increase the AOV of each purchase. RMC allows you to easily to select the family, brand price points of products you want to offer alongside the main item that a customer is recommending.
Sample Widgets: Bought also bought, Frequently bought together, Related items, Complete the look.
- Generic Recommendations w/ user behaviour
Generic product recommendations do not depend on any product as a baseline and stand on their own. They can be generated without any knowledge of user behaviour or preference. You can easily add customer cross channel behaviour, purchase and preference data to these recommendations to make them more meaningful and engaging.
Sample Widgets: Best sellers, Trending now, New arrivals, New markdowns, We recommend, Category best sellers, Recently viewed (based on browse history).
What can Recommend do for my
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business?
Recommend optimises your marketing automation with real-time suggestions across channels, devices, apps, pages and lifecycles to increase engagement, average order value, and revenue while reducing management effort and execution time. It also allows you to promote your entire product catalog across multiple channels, making it easier for customers to find and purchase items they might otherwise not know about.
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- Browse abandonment campaigns – Send known visitors who browse without adding anything in their cart an email to bring them back to your site to incentivise them to make a purchase. Recommend products and categories based on each visitors individual browsing history, and show recently viewed items (product or category) to motivate additional purchases.
- Cart abandonment campaigns – Encourage would-be customers to complete their purchase when they leave items in their shopping cart. Automatically send known visitors an email that includes the items they selected onsite and also recommend related items based on their selection to inspire further shopping.
- Post-purchase campaigns – Post-purchase emails provide a strong cross-sell opportunity. Include product recommendations triggered by the customer's purchase history to increase customer lifetime value.
- Replenishment campaigns – Trigger personalised replenishment emails based on each individual customer's purchasing cycle, and automatically remind them to repurchase products just before they run out. Increase customer lifetime value and increase your customer retention rates.
Enhance the Customer Experience Across Your Entire Web and Mobile Sites
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Here are a few examples of plug and play recommendations that our clients use across their web and mobile sites to aid product discovery, increase average order value and conversions:
- Home Page –Automatically showcase the most popular items across your store to inspire first time visitors with trending items as soon as they arrive. Or greet returning customers with products they have previously interacted with and shown an interest in, helping them to continue their shopping journey and complete the sale.
Sample Widgets: Trending now, Best sellers, Recently viewed, Recently viewed and featured recommendations.
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