8 Must Knows And Takeaways For Highly Personalized E-Commerce Marketing Campaigns

8 Must Knows And Takeaways For Highly Personalized E-Commerce Marketing Campaigns

“Oh yes, I love the Uber app too!”, he said.

Instantly, our mutual appreciation for the app became a kick-starter for the hour-long conversation that I had with a traveler I was sharing the Uber cab with.

We talked about Uber’s extraordinary services, some other apps and websites, and this and that. Since he was an e-commerce marketer, we also went on discussing the dynamically evolving customer expectations, multiple factors that shape the customer’s desires and preferences, and so on. All of this, put together, directed us to a common insight:

How e-commerce brands can reshape individual customer experiences through correct and highly-personalized marketing

Later that day, I sat down contemplating and researching, and rounded up “8 Prerequisites (and Takeaways) to Remember for Highly-Personalized E-Commerce Marketing”.

Before we get to that, let’s first understand what personalization isn’t?

Simply put, personalization is giving customers a highly nuanced, individualized and consistent experience during every interaction they have with your brand, across all channels. And NOT annoying them with irrelevant, unnecessary content.

Why e-commerce brands must do personalized marketing?

Because the new breed of consumers is empowered by mobile, consumers can get exactly what they want, instantly and effortlessly. As a result, they are more curious, demanding, and impatient than ever before. For marketers, this means these consumers are also tougher to reach and please. A brand’s ability to leverage data to anticipate their needs will define its ability to grow – Google explains.

Have you ever come across Alibaba.com or Amazon.com littering a list of products, you never thought of buying, when you go to their websites? Never, right? They show only those products which YOU, as a customer, are most likely to buy. They know that unnecessary information without any personalization will only plummet their conversions.

In fact, Google also states that products worth a total value of over $280 billion are abandoned in digital shopping carts, every year.

No, or very little personalization is definitely a reason as Marketing Dive found that businesses have annually lost $756bn because of poor personalization.

Now that we know why personalization cannot be overlooked, let’s deep dive into the

8 prerequisites you must never forget while personalizing experiences for your e-commerce customers

1. Data: The underlying base of personalization

IBM reports that 62% of marketers experience a strong competitive advantage with the use of data. It has a reason.

You can get information about EVERY user, whether identified or anonymous, in some form. If the user has registered with your brand, you can collect user details like – name, age, location, birth date, and gender to name a few. If the user is anonymous, meaning s/he has not registered with your brand, you can still have information (like their IP address, location, interest based on the URLs they visited) which can be used for further engagement.

A nice way to know your unknown visitor would be to offer them some discount and ask them to share their email id and gender in return.

Capturing data is not simply restricted to this basic user information. Tools like CRM (Customer Relationship Management), DMPs (Data Management Platforms), Marketing Automation Platforms (MAPs) simplify the process and let you understand your customers’ online behavior by tracking details like:

  • who installed your mobile app and when
  • how many times did a customer make purchases
  • what did a user purchase
  • what does s/he frequently purchase
  • what did a user leave in her cart and never purchased
  • which version of your app is a customer using
  • which is the communication channel your customer responds usually

and a lot more.

When Airbnb released a new update to its app in 2016, it announced it saying, “The newly updated Airbnb mobile app has personalization at its heart.” The app monitors the user’s trips, traveling preferences and plans, and uses that information to offer the utmost personalized experience.

Reports confirm 83% of consumers are willing to share their data to enable a personalized experience.

Takeaway: The more data you get from your consumers, the more tailored your customer experiences can be.

2. Context: The meaning-provider of personalization

Research states that eighty-one percent of consumers want brands to understand them better and know when not to approach them.

When customer experiences are contextual, it means they are:

  • Tailored exclusively based on a customer’s past behavior and story  
  • Customized for different devices and channels [read the next sections]
  • Designed according to what the customers want to look at when they come to your website or mobile apps (like designing a user-friendly website or customizing the homepage for customers)
  • Sent messages that make complete sense and aren’t discouraging for the customers
  • Based on specific geographical targeting [covered in the next sections]
  • Delivered just in time

and a lot, lot more.

Westside’s marketing is a classic example: The brand sent a highly-contextual email based on my recent purchase of footwear from their store. Which was quite convincing.

Similarly, Shein, a US-based shopping site, picked up products which I had added to my wishlist and targeted me with an Instagram ad. (I did buy most of those products!)

Takeaway: Customers resonate with contextual content. There’s a wealth of consumer data on tap to help you do it.

3. Intent: Your sign to identify what must be personalized next

Context and intent go hand-in-hand. Knowing the intent is when you find out:

  • What are your customers looking for
  • Where are they searching
  • When are they searching
  • What would they look for after a particular purchase

and more.

If you find out your customer’s intentions and motivations you would know what to offer him next.

A survey by Accenture reports that 91% of consumers are more likely to shop with brands who recognize, remember and provide relevant offers and recommendations.

Predictive personalization is the way forward. Making use of it helps you in understanding what a customer expects at different stages of the lifecycle.

If you are an on-demand beauty services brand, you definitely wouldn’t want to send an email about new products to someone who has only visited your website and not made a purchase yet. You’d rather send them some intriguing information and deals about signing-up with your brand.

Likewise, if you’re a travel brand you’d want to share information about specific flights to your travelers who frequent book flight tickets on your app/website.

Takeaway: Being able to predict the intent of your customer’s next, future purchase helps in knowing who to target with what. Building customer lifetime value is vital.

4. Device-friendly: Your key to visual personalization

A Statista report predicts: the number of smartphone users will hit around 2.5 billion in 2019.

While this is true, it is also evident that modern consumers are accessing information on a number of devices (laptop, tablets, phones, etc.).This multi-screen behavior calls for e-commerce websites to optimize their communication for different devices.

Digging into your user’s past behavior and activities like time spent on the website, mobile app usage, products browsed, the frequency of buying and so on helps in finding out which device was most preferred for all of these activities.

Takeaway: Finding out the most preferred device a customer uses and clubbing it with user’s historic data, helps in tailoring impactful device-friendly campaigns.

5. Channel-Focused: A baseline necessity for omnichannel personalization

Research says, over 51% of consumers shop on multiple devices and channels – email, SMS, web, push, ads, offline, etc.

So it is equally important to find out which channel is the customer most interactive on at a particular stage of the lifecycle.

Consumers may look for something online and then head into the store to make the purchase. Or, they may be at a brick-and-mortar store, see a product they like but isn’t available in their preferred color, and then pull out a tablet to check the inventory and make the purchase.

Multiple scenarios like this exist but the most important aspect is that if each of these channels is interconnected, you can provide an omnichannel experience – a seamless experience and connected purchase journey for your customers.

BigCommerce’s Omnichannel Retail report shows that online spending is distributed evenly between marketplaces, large retailers, web, and category-specific stores.

The omnichannel approach focuses on the customer and ensures that each customer can easily and seamlessly navigate between every touchpoint to make a single purchase.

Sending campaigns to appropriate channels will not only bring higher engagement but also increase your customer’s affinity towards your brand.

Alibaba is acing the omnichannel experience game and expanding its services in multiple countries.  

Takeaway: Talking to customers where they’re most likely to talk to you, gives roots to a two-way conversation between them and you.

6. Geo-Targeting: Your road to location-based personalization

Do you know where your customers are? Which country, region, town, etc.

Unlike physical borders between countries, the digital world is free of boundaries. Your customer could be chilling on an island and ordering things for his family back in Canada.

Think of the SMS or push notification that Uber sends to you when you enter a certain area.

By analyzing historical location data and detailed behavioral patterns, you can gain comprehensive insights into consumer preferences and habits which can be used for location-specific deals.

A simple step to kickstart location-specific personalization could be identifying your new user’s location and directing them to the most appropriate page (like 3M does!).

Another classic example is Starbucks: It successfully keeps customers engaged with its gamified mobile app. Integrating the brand’s rewards system with the ability to customize and order drinks via the app, it makes use of information such as purchase history and location to get as personal as possible.

The introduction of the rewards system saw Starbucks’ revenue soaring to $2.56 billion, while the app has generated around 6 million sales per month.

Takeaway: Audience- profiling based on location enables creating segments of lookalike consumers to expand a brand’s reach in a highly targeted manner. Geo-targeting can improve marketing ROI by taking advantage of regional trends.

7. Demographics: Your target (millennials and others) for personalization

Only 50% of businesses are differentiating their marketing according to demographics, says the marketing maestro Neil Patel.

You can segment your users based on some demographic parameters like:

  • What are the different generations that shop
  • How often do they shop
  • What is the buying routine of people in different cities
  • How professions define buying budgets
  • Which devices are commonly owned by different age groups
  • When and where do different gender and age groups shop

And so on.

Netmeds, an online medical store, sends targeted push messages specific to common issues faced by people of a certain age in a particular area.

Takeaway: Cleverly aligning customer demographics with their past behavior and data empowers you to drive improved responses and conversions.

8. Automation: A facilitator of data-driven personalization

The latest report on “The 2018 State of Marketing Automation” cites over 85% of businesses rating marketing automation systems as most effective for targeted and seamless personalization.

Marketing automation creates a cloud-based platform to collect, collate and understand your customer’s data from across an array of mediums and channels. It further helps you organize your customers based on their different buying patterns allowing you to craft extremely personalized omnichannel campaigns and experiences – purely based on user’s information like the demographics, reachable channels and devices, correct time, geography, and so on.

Pretty Secrets, an online lingerie brand, uses marketing automation for powering their cross-channel personalization.

Check out some examples of B2C brands that totally nailed personalization using marketing automation.

Takeaway: Building accurate, data-driven personas and automating your communication based on buying personas helps in smart, meaningful and most effective personalized customer experiences.

Finally, are you one of the 89% of digital businesses that are investing in personalization?  Companies like JD.com, Fabletics, Sephora, and Wells Fargo belong to the list.

If you’re not using e-commerce personalization, you’re definitely losing revenue.  But if you get it right, you can make huge gains. Gartner predicts a 15% profit boost by 2020 for those who successfully handle personalization in eCommerce.

Here’s something you can start with to ensure your next campaigns are super-personalized and resonating:

  • Go back over the last few campaigns, content, experiences (and everything) that you sent to your customers
  • Now, look at the extent of personalization that you did in all of those. Did you do it right? Was everything that your customer received, meaningful and relatable? Did you connect with your customers on an emotional level?

If you didn’t do it right, you now have a list of things  (that you just read through!). Action them all for your next campaigns and surprise yourself with a roaring success!

Do tell us about your experiences (both with your customers and fellow travelers!) in the comment section below. If you do, we’d certainly love to talk about it.

  • Created: 09 Oct 2018
  • Last Updated: 12 Oct 2018

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Author

Forum Sheth Content marketer, WebEngage

Forum is a Content Marketer at WebEngage. She creates informative, funnel-based content that helps marketers understand and implement customer engagement strategies using Marketing Automation. She shares her life experiences in most content resources that she authors. Prior to Webengage, she was a Content Writer at Netcore Solutions.


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