Email personalisation made simple

Show each shopper exactly what they like. Without changing your ESP.

The majority of customer touch-points are in the upper funnel - and it needs a major upgrade.

While shopping cart triggers are effective at tightening the bottom of your funnel, the majority of retail email is focused on retention and re-activation, driving users to the top of the funnel. Promotional email in its current format is much less effective in the Amazon era. Very few users actually click through daily/weekly email campaigns to browse the product catalogues. Algorithmic merchandising brings an end to rules-based email marketing and manual list segmentation. Recipients receive only the most relevant content and products through emails custom-tailored to them as individuals.

On mobile phones, consumers don't often have the luxury to look for products or browse the product catalogue. You need to bring the products directly into the email itself.

By placing the merchandise directly into the body of the email, the path to purchase is much shorter. With less friction to purchase, engagement goes up, as do conversions and revenue.

Featuring merchandise in your weekly/daily email campaigns allows you to exploit cross-selling opportunities from prior purchases, along with interest and intent signals gained from users’ passive and active browsing behaviour. It increases the flow through the middle of the funnel at a much a larger scale.

How algorithmic merchandising is different from product recommendations

Product recommendations require the context of a specific SKU, like a shopping cart item, to find other similar SKUs. Daily/weekly emails have no SKU context to drive accurate recommendations. Algorithmic merchandising looks at the entire purchase history and all of the browsing activity to infer user affinity for product attributes instead individual products.

Recommendations are not designed for daily/weekly email campaigns, they don't track user's passive behaviour and quickly become repetitive. Algorithmic merchandising tracks what products get displayed to each user and learns from the user's passive behaviour, ensuring that products don't repeat and don't feature products the user ignores.

Recommendations lack the context of real time inventory data. Algorithmic merchandising tracks real-time inventory performance dynamically incorporating seasonal trends and daily best sellers.

Algorithmic merchandising allows you to combine personalisation with strict business rules that can discriminate merchandise based on price, discount, category, inventory levels, etc.

Delivering ROI with Extraordinary 'Time to Value'

Standard dynamic content and product recommendation engines can be quite clumsy. With Mercanto, we build a unique dynamic behavioural profile for every single shopper that calculates for fickle and ever-changing shopper behaviour.

Our machine learning platform ensures that the most relevant products reach your users every time. It knows each customer and each product and variation, and it continually and automatically refines that understanding by incorporating new data points and finding hidden connections. The result is delightful customer experiences that accelerate and increase orders.

Elevate customer lifetime value and reduce customer churn

Improve activation rates through discovery of product interests rather than offering of large discounts.​

Eliminate manual activity related to onsite and email product merchandising

Improve margins by surfacing and selling high margin and long-tail items

Improve ROI from customer acquisition investments.

Seamlessly integrate with popular email, marketing automation, and other platforms.

Up to 80% lift in revenue per promotional email sent

Lifts in total Enterprise revenue up to 10%.

Dramatic results with subscriber activation

Show each shopper exactly what they like!