Recommend Overview
You can find the following topics on this page:
What is Recommend?
RMC Recommend is a prediction-based recommendation engine which leverages big data insights, including cross channel customer behaviour, collaborative filtering, overall product sales performance, and like minded shopper's intent to instantly promote the right products and content to the right customer across channels, devices, apps and lifecycles.
RMC Recommend includes an extensive library containing prepackaged set of rules, configurations and machine learning algorithms to execute relevant and automated cross channel campaigns right out of the box.
Create and manage relevant product recommendations with ease to truly personalise every message, every page, every ad and every interaction based on each customer's behaviour, preferences and purchase history. See Playbooks to discover 100+ ways to use RMC Recommend to improve engagement, average order value and conversion rates across the entire customer lifecycle.
Recommend is made up of separate solutions, covered in more details on the following pages:
- Email Recommend – Recommend comes with built-in capabilities for triggered and hyper-targeted email campaigns. Get started today with out of the box lifecycle campaigns and templates, and deliver personalised product and content recommendations for each customer.
- Web Recommend – Recommend comes with pre-configured recommendation widgets that allows you to customise your shoppers' onsite experiences by offering additional products related to their preferences, browsing behaviour and past purchases. The same items can also be offered in email campaigns, ensuring a consistent experience.
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 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).
Why should I be using Recommend?
RMC Recommend enables you to extend personalisation beyond your website to deliver automated, personalised experiences across email, mobile and social channels - resulting in greater customer lifetime value, increased conversions and ROI. Recommend comes with an extensive library of built-in machine learning algorithms and lifecycle marketing campaigns – allowing you to execute personalised product recommendations and powerful campaigns right out of the box.
Here are a few more reasons why Recommend should be part of your company's marketing infrastructure:
- Unified data – RMC allows you to connect, collect and unify data from various sources. Integrate your off-platform data, such as POS or order management, and merge it with cross channel behavioural and profile data, including ratings, reviews and surveys, as well as additional marketing data, such as product catalog and coupon codes.
- Deep segmentation – Our Advanced Segmentation gives you the power to use customer data from email, web, mobile, social and offline channels - including cross channel behaviour, purchase history and customer interests. This complete view of your audience allows you to effectively segment, target and personalise your messages.
- Advanced merchandising– Recommend allows you to easily apply your merchandising strategy into existing algorithms. Apply business rules and strategies to automatically and systematically promote higher priced items, product bundles, necessary add-ons, particular brands, products or categories.
- Personalised email solutions – Supercharge one of your most important marketing channels with personalised product recommendations and triggered campaigns.
- 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.
What can Recommend do for my 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.
Automate Your Lifecycle Marketing Campaigns
It's more than campaigns that welcome, thank, reward, and win-back through email. RMC offers a holistic approach to ensure your customers remain loyal to your brand by receiving the right message, at the right time, across all touchpoints.
Here are a few examples of out of the box customer lifecycle campaigns that our clients use to significantly increase customer retention and revenue:
CONVERT | 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. | |
GROW | 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. |
RETAIN | 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. |
WIN BACK | Lapsed customer win-back campaigns | By segmenting customers who have not purchased within a specific period of time, and then delivering a personalised win-back emails, you can motivate these inactive customers to make another purchase. |
Enhance the Customer Experience Across Your Entire Web/Mobile Sites and Mobile App
Adding personalised product and content recommendations to your web and mobile site aids in product discovery, increases page views, time on site, average order value and revenue. RMC's self-learning recommendation engine works in real-time, detecting product and customer behaviour updates as they happen and updating recommendations accordingly, resulting in better experiences and more conversions.
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:
| Webpage | Description | Sample Widget |
|---|---|---|
| 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. | Trending now, Best sellers, Recently viewed, Recently viewed and Featured Recommendations. |
| Search Page | Narrow down long search results by recommending the most relevant products according to the browsing and buying behaviour of customers who previously used the same search keyword to facilitate product discovery. | Searched and also viewed, Searched and also bought. |
| Product Pages | Recommend complimentary items to the one viewed on the product page, making it easier for visitors to find related items, making it easy for visitors to find related items and encouraging them to add more to their cart. | Frequently bought together, Related items, Complete the look. |
| Shopping Cart & Checkout Page | Recommend products that other customers have typically purchased with the items in shopper's cart, highlighting complementary products at this stage of the buyer's journey increase the chance to increase the order value. | Frequently bought together, Related items, Complete the look. |
How do we know Recommend works?
We provide you with a performance dashboard that gives you up-to-date performance and revenue figures from your website. In the same dashboard, we also show the revenue that can be attributed to Recommend campaigns. We measure this attribution as follows:
- Web Recommend – When a customer clicks a recommendation on your web or mobile site and purchases that product in the same session, we attribute this revenue to Recommend.
- Email Recommend – When a subscriber arrives at your web or mobile site after clicking recommendation in an email campaign, all purchases made by that subscriber are attributed to Recommend.
Additionally, RMC offers a built-in A/B Testing feature that allows you optimise experience delivery across channels. A/B test to see how your experiments perform and continuously improve and optimise visitor experiences.
What makes RMC Recommend different?
- Advanced Onsite Tracking and Powerful Recommendation Engine
Recommend's advanced onsite behavioural tracking capabilities allows marketers to capture both anonymous and known behavioural data including page views, add-to-cart events and search queries. Our powerful machine learning software processes millions of customer interactions with thousands of products in real-time, giving up-to-date product and content recommendations to each individual user. - Powerful Campaign Execution Right Out of the Box
RMC lets you execute the most relevant and automated cross channel marketing campaigns from a single platform. Recommend contains one of the industry's most advanced library of pre-configured recommendations and comes with built-in capabilities for email execution, web personalisation and can trigger Facebook advertising and mobile campaigns. - Cross Channel Orchestration
RMC coordinates personalised messaging, content and campaigns across online, offline channels and devices allowing marketers to deliver consistent communications no matter when or where a customer engages with the brand. By merging and unifying cross channel behavioural and customer data, RMC gives marketers the certainty that they are delivering the right message to each person. - The Revenue Engine for Online Retail
RMC Recommend advanced algorithms offer you automated personalisation solutions that are designed to increase Average Order Value, customer lifetime value, and overall revenue.
Parent Topic: Recommend
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