8 Post-COVID E-Commerce Personalization Strategies for Re-Growth
Written by
Pradyut Hande

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8 Post-COVID E-Commerce Personalization Strategies for Re-Growth

The ongoing COVID-19 pandemic has come as a “White Swan” event that is likely to wipe out $2.7 trillion from the global economy in lost output.

Set in a quasi-uncertain backdrop, e-commerce brands are coming to grips with evolving consumer behaviour trends, purchase patterns, and situational habits.

Making Sense of the New Normal

According to a recent Nielsen research report, there are six major consumer behavior thresholds pertaining to the COVID-19-necessitated lockdown across countries:

six major consumer behavior thresholds pertaining to the COVID-19-necessitated lockdown across countries

Most of the developed and emerging economies have already gone through the first three levels. Consumer behaviour patterns across the next three levels are now beginning to take shape as sustained global stay-at-home periods are likely to get extended.

Levels 4, 5, and 6 also provide online retailers with an opportunity to proactively respond to new demand signals across demographics. By keeping a firm pulse on your digital customers’ new needs, wants, likes, dislikes, and expectations – you can personalize the entire customer experience by delivering value at every stage across individual lifecycles.

To help you effectively combat these unprecedented times, re-imagine growth in a post COVID-19 era, and deliver customer delight at scale with omnichannel personalization – we’ve outlined 8 key action steps that Smartech can help you with:

1. Analyze your customer data to unearth new actionable insights:

Fact: Existing chapters of the marketing playbook – as you know it – may no longer be relevant. And, altogether new chapters are being written into it, on an almost weekly basis.

As an e-commerce brand, what worked for you until February, 2020; is unlikely to shape your future customer and revenue growth engine.

So, double-down on gathering and unifying the right customer data. Build and gain a 360-degree view of individual digital customers based on their demographic, geolocation, behavioral, and device-related data points.

Slice-and-dice this data to gather new actionable insights on evolving consumer behaviour trends.

You are more than likely to uncover higher engagement and conversion rates from customer segments that previously scored lowly on RFM parameters; i.e. Recency, Frequency, and Monetary Value of purchase.

For instance: Confined indoors and without access to physical grocery stores or pharmacies; senior citizens have taken to ordering items of need online over websites and apps. This has brought an outlier customer segment into sharp focus during the current COVID-19 crisis.

These new customer segments open up new avenues to increase CLTV and retention in the long-run through an AI-led omnichannel personalization strategy.

But, don’t allow these insights to dictate decision-making – just yet.

You need to dig deeper to identify and categorize consumption trends – relevant to your e-commerce platform – into the following buckets:

  • Temporarily postponed: This includes high ticket-value items such as apparel, electronic gadgets, footwear etc.
  • Accelerated: This includes daily grocery items, medicines, etc.
  • Disturbed: This includes facemasks, gloves, hand sanitizers, etc.

Categorizing these trends will enable you to make clearer distinctions between what your customers consider as “essentials” and “indulgences”. Remember that these customer perceptions are likely to evolve during this period and once a greater semblance of normalcy returns.

For instance: When the lockdown came into effect in the USA, only 13% of households were ordering food online in the first week. This percentage jumped to 38% by the third week. This highlights the changing attitude of customers towards food delivery from an “essential” to an “indulgence”.

2. Identify new buyer personas:

Fact 1: The COVID-19 crisis has reshaped buyer personas that are going to respond differently when the situation begins to normalize.

Fact 2: Based on the value chain in this current scenario, your customers will travel through the following phases towards retention:

In this current scenario, your customers will travel through the following phases towards retention

After carefully analyzing millions of customer behavioral data points, we’ve identified five key buyer personas that are going to drive demand now:

  • The Captive Buyer: This type of buyer is reluctant to substitute one product or e-commerce platform with another due to the high cost – in terms of time, effort, and/or money – involved in switching. He/she doesn’t mind postponing purchase based on product availability, last mile delivery capability, ease and familiarity of platform usage, etc.
  • The Hoarder or Panic Buyer: This buyer’s demand is not dictated by price but by the more primal emotion of fear. He/she is likely to purchase products in bulk – primarily “essentials” such as groceries, healthcare and hygiene items, etc. He/she is also unlikely to spend too much time and effort searching and browsing for products, which is why you need to offer the most relevant product recommendations ASAP.
  • The Price-Conscious Buyer: This buyer display’s maximum loyalty to the price of the products he/she might be interested in rather than your platform or overall customer experience. He/she will be more attracted to product bundles, offers, and discounts that appeal to his/her spending propensity.
  • The Hesitant Buyer: This buyer begins with the intention of making a purchase, but is highly likely to postpone or abandon transaction completely during checkout. You need to give this persona confidence in your platform, customer experience, and last mile delivery. An omnichannel marketing approach that allows you to orchestrate customer journeys, nudging them to complete purchase, will go a long way in increasing conversions.
  • The Impulsive Buyer: This type of buyer makes snap purchase decisions during checkout and is ripe for targeting with relevant cross-sell and upsell product recommendations. This is going to help you increase your average order value per conversion.

3. Personalize the navigational flow across your website or mobile app:

Fact: It doesn’t matter if your e-commerce website has the greatest looking Home Page or the most visually pleasing app UI/UX anymore. You need to do more. Your customers are unique individuals, so showing the same website or mobile app to both first-time visitors and repeat customers won’t work anymore!

Leverage your customer’s browsing behaviour and order history to customize how you want them to navigate across your website. The more customized your navigational journey, higher the chances of you directing them towards a purchase – faster.

You can also experiment with dynamic website elements such as graphics, banner images, and CTAs to optimize the persona-based viewing and navigation experience.

For instance: You can personalize the Home Page viewing and navigation flow across your e-commerce platform depending on whether a new visitor (or an unregistered app user) or a repeat registered customer lands on your website or launches your mobile app.

4. Strategically leverage AI-driven live product recommendations:

Fact: When your customers are active on your website or mobile app, you need to shorten their paths to conversion by giving them product recommendations that are tailor-made to each one of them. And, if you have a large product catalogue, then you need AI to do all the heavy lifting, in real-time.

Our AI engine – Raman – enables you to show the most relevant product recommendations across your Home Page, Product Display Page, and Product Listing Page.

most relevant product recommendations across website home page
Recommendations on your Home Page increase CTRs by 90 – 110%
Most relevant product recommendations across Product Display Page
Recommendations on your Product Display Page increase CTRs by 30 – 50%

You also need to re-order product categories on-the-fly depending upon the search behaviour, purchase intent, and historical completed orders on your platform – all to ensure that your buyer personas get exactly what they’re looking for or what they’re most likely to buy – faster.

Re-ordering Product Categories
Re-ordering Product Categories can boost CTRs by as much as 60 – 80%

For instance: To better cater to your new buyer personas and customer segments, you need to deploy AI algorithms that learn from their actions and inactions in real-time to deliver contextual product recommendations on your website or mobile app.

The AI engine learns intuitively and can eventually predict with a great degree of accuracy what an individual user is most likely to click on, add-to-cart, and purchase.

5. Curate a personalized virtual storefront:

Fact: Directing your customers to what they want has to be a relentless pursuit, as part of your larger personalization strategy.

You can climb higher up the personalization mountain by creating a virtual storefront for individual customers. Not only should this contain product recommendations with the highest probability of purchase, it would also continue to get dynamically refreshed based on customer eyeball data.

This means that this specially curated list of products would account for those recommendations that work and those that don’t, and refresh automatically – based on how many seconds a customer spends hovering over an item. These time-stamped signals loop back into our AI engine, making it smarter, with every interaction that a customer has with your platform.

specially curated list of products
Building a Personalized Boutique can increase CTRs by 120 – 150%

6. Deliver predictive product recommendations across channels:

Fact: Your AI-led personalization strategy has to extend across multiple channels and devices, even when your customer is inactive on your e-commerce website or mobile app. Well-timed 1:1 customer engagement across digital touchpoints increases the probability of conversions – exponentially.

With Smartech, you can now trigger laser-focused product recommendations across high-impact channels such as email, app push notifications, and web messages.

an example of personalized email which delivers predictive product recommendations
an example of personalized notifications which delivers predictive product recommendations

Here are the kind of contextual recommendations that you can deliver to pursue conversions beyond just your website or mobile app:

  • Suggested for You” Recommendations: These are the best possible recommendations tailored to individual customers based on their general historical behaviour; i.e. product/product categories viewed, items added to cart, purchase, etc.
  • Cart Abandonment Recommendations: These are generated based on the products added to individual customers’ digital shopping carts where the customer may have dropped-off or not completed a purchase
  • Buying Pattern Recommendations: These are generated based on individual customers’ most recent product purchases

For instance: If you identify a customer segment that has repeatedly purchased Instant Noodles within the Dry Grocery category and is out of stock due to a demand surge – you can trigger personalized email recommendations updating this segment when the product is back in stock

  • Viewing Pattern Recommendations: These are triggered based on individual customers’ most recent products or product categories viewed
  • Bestselling Recommendations: These are generated based on the highest selling products on your website or mobile app. These are products that are being purchased the most when compared to other products over a period of time

For instance: In the current scenario, health safety and hygiene products such as facemasks, disinfectants, and hand sanitizers have quickly become bestselling products – over the last 2 months – and will see a steady demand even when the lockdown period is relaxed.

  • Trending Recommendations: These are generated based on the most trending products on your website or mobile app. Essentially, these are products whose consumption has shown a percentage increase over a period of time.

For instance: Building on the above example, health safety and hygiene products like facemasks rapidly became a trending product within its category and very soon emerged as a bestselling product, as the COVID-19 turned into a pandemic.

  • Recently Viewed Recommendations: These are generated based on the most common products that have been recently viewed by individual customers on your platform
  • New Arrival” Recommendations: These are generated based on the new products that have been added to your product catalogue. Our AI engine maps these products to the ones that are most relevant to individual customers and hit upon the ideal recommendations, capable of nudging him/her towards an eventual purchase

Depending upon what channels of customer engagement are working best for which customer segments and buyer personas, you can optimize your multi-channel mix as well as the send-times for these campaigns.

Not only do your recommendations have to be personalized, they also need to be delivered on the right channel and at the right time. And, our AI engine facilitates all of this.

7. Harness AI-led product recommendations to manage your inventory effectively:

Fact: Your marketing efforts and inventory management have to go hand-in-hand to increase consumption while driving down overhead costs associated with surplus inventory.

The current COVID-19 situation would have fuelled greater demand for certain products while completely eroding demand for other items in your product catalogue.

So, don’t just rely on “Bestselling” or “Trending” product recommendations to drive conversions, also account for other products – similar or otherwise – that you can suggest to ease the pressure on your built up inventory.

Incentivize purchase with attractive discounts, offers, and combo deals. It’s a subtle balancing act and operational trade-off, but an aspect of your marketing strategy that requires urgent attention.

8. Deliver the best-possible end-to-end customer experience:

Fact: Customer satisfaction is a function of delivering seamless, reliable, and consistent customer experiences over a long period of time.

While AI-led product recommendations will open up relevance-backed conversion opportunities across customer segments and buyer personas, you still need to get other elements of your value chain just right, such as:

  • Seamless website or mobile app UI/UX
  • Fool-proof virtual payment gateways and flexible modes of payment
  • Sturdy packaging
  • Reliable in-time last-mile delivery
  • Provision for new-age package collection; eg: contactless delivery

The new rules of e-commerce marketing are already in play. But, relentless focus on the holistic customer experience – backed by personalization – can go a long way in bending those rules in your favour.

Tackling the New Normal…With AI as your Ally


Omnichannel personalization can help your e-commerce brand unlock new waves of user and revenue growth for the remainder of 2020 and beyond.

While customer data and AI will enable you to fulfil latent demand, tap into new conversion opportunities, and turn newly identified focus customer segments into loyalists – don’t be a hard-sell!

At such a time, you need to position yourself as a situation-aware, empathetic, and customer-centric brand. And, not come across as a tone-deaf, opportunistic, and ROI-focused brand.

To help you tide over these challenging times, we are offering you complete access to Smartech’s personalization suite, free of cost for 6 months.

Want to learn how you can harness the power of AI to increase conversions by 8 – 13% in a post COVID-19 world? Get in touch with our growth experts, today!

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