5 Reasons to Reach out to a Customer Post First Purchase

Posted by Alegría 6 Jun 19

ecommerce post-purchase ideas Once you've had that very first purchase from a customer, the journey to truly creating memorable experiences begins. Debatably, with a lot of brand focus on acquisition, the retention of shoppers is not given the same amount of attention. Here at Ometria, we know that a high customer retention rate is the key to more sales and increased loyalty. 

In this post we discuss the reasons you may get in touch with a customer post purchase, and we'll soon follow with how to make those first purchase shoppers into returning customers.. 

The goal of writing this is to help you go about keeping first-time customers engaged by sending the right content at the right time; in other words, by using a brilliant customer lifecycle marketing strategy.

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Topics: Ecommerce email marketing, Ecommerce customer retention, Ecommerce marketing strategy, post-purchase email

Segmentation or personalisation: which and when?

Posted by Alegría 30 May 19

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As retail marketers work towards creating tailored experiences for their customers, quite often there is a little confusion around the best way to truly create an memorable customer experience - when do you segment to serve a specific customer group? Is it better to personalise based on the individual customer? 

With customer expectations continuing to shift and rise to meet the levels of brands like Amazon, Netflix and Deliveroo - where do retailers start and how do they decide what to do?

This blog post aims to discuss where and when is the best time to use either personalisation or segmentation. 

To read how to get started with personalisation and scale it to your brands needs - read our post here. For more on how to personalise in line with your brand's need, check out our latest download "One size fits none: the retail marketers's guide to newsletter personalisation" and discover how to tailor your broadcast emails in a time of batch-and-blast. 

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Topics: Ecommerce technology, Ecommerce marketing strategy

Twenty-Two Must-Read Posts You Might Have Missed in 2017

Posted by Abi Davies 29 Dec 17

ecommerce posts you should have read in 2017As the New Year heaves into view, we've taken a step back to revisit some of our most popular blog posts published in 2017 - with a few of our favourites from elsewhere thrown in for good measure.

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Topics: Ecommerce marketing strategy, AI in ecommerce marketing, ecommerce marketing blog

How to Calculate Customer Lifetime Value (CLV) in Ecommerce

Posted by Edward Gotham 11 Dec 17

Customer lifecycle value in ecommerceWhat is customer lifetime value?

We all stumble through life clutching onto the fuzzy memories of those pesky Pythagoras and algebraic theorems that haunted many a youth, andwith rare use cases in present day lifethey normally end up getting filed and forgotten. 

Enter customer lifetime value: the only equation you need to remember.  

In ecommerce, CLV is the value a customer contributes to your business over their entire lifetime at your company.

The main methods of calculating CLV are split between historic and predictive CLV:

  • Historic CLV (Good indication of CLV)  

    Simply the sum of the gross profit from all historic purchases for an individual customer.

  • Predictive CLV (Great indication of CLV) 

    A predictive analysis of previous transaction history and various behavioural indicators which forecasts the lifetime value of an individual. As long as the equation is accurate, this value will become more accurate with every purchase and interaction.

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Topics: Ecommerce metrics, Ecommerce marketing resources, Ecommerce customer retention, Customer lifecycle marketing, Ecommerce marketing strategy, Ecommerce marketing tips, artificial intelligence and marketing

7 Product Recommendation Engines (and When to Use Them)

Posted by Abi Davies 4 Oct 17

Recommendation engines are difficult to get right (and not something you want to get wrong—unless you don’t mind ending up in Private Eye’s “Malgorithms” column).

But this doesn’t mean you should shun product recommendations altogether; on the contrary, in an industry dominated by personalisation, your brand should be investing more time and energy in making them accurate (and in no way annoying).

In this blog post, we’ve taken a look at seven different recommendation engines that can help you do just that. Whilst each one can be used in different ways for different emails (broadcast or automated), there are certain instances where specific engines lend themselves particularly well to specific campaigns; where this is the case, we’ve made a note using a ⭐ . 

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Topics: Ecommerce marketing resources, Ecommerce customer retention, Ecommerce personalisation, Ecommerce marketing strategy, Ecommerce marketing tips, AI in ecommerce marketing, product recommendation engines

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