Blushift-featured-image-Lifecycle-Stages-for-the-Growth-Marketer---Part-2-Retention

Lifecycle Stages For Growth Marketers Part 2 – User Retention

Customer lifecycle is a term used to describe the progress of a customer as they go through consideration, engagement, purchasing, and maintaining loyalty to a product or service. It starts from the first time you get a user’s attention to your product and then keeping them as loyal customer. The customer lifecycle is often depicted by an ellipse because the goal of customer retention is to get them to move through the cycle again and again.

The second stage of the customer lifecycle is retaining users you already activated with targeted content in the form of reminders or recommendations to reduce churn. Retention is a more effective way of growing revenue because companies aren’t stuck attracting, educating, convincing, and converting potential customers. Retention is also a more sustainable business model for sustained growth because you are marketing to customer who have already expressed an interest in the product and engaged with the brand. In studies by Bain & Company, increasing customer retention by 5% can result in an increase in profits of 25% – 95%, and the likelihood of converting an existing customer into a repeat customer is 60% – 70%.

User retention gives growth marketers a lot of opportunity to deliver targeted content through many channels and in many forms. They can impact retention by creating delightful customer experiences through all their marketing channels on a 1:1 level using powerful reminders and recommendations. Lets dive deeper into what these reminders and recommendations can look like for growth marketers.

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Here is an example of 1:1 content recommendations in an email sent by a Blueshift customer

Reminders: 

  • Status in the Product: This type of reminder can be related to any incomplete activity in their account (e.g. “complete your profile” or “turn on push notifications”).
  • Weekly Activity Digests: Recurring personalized emails are a great way to keep active users engaged and staying on top of mind. For retailers this could mean sending a weekly email of new and trending items in their “Liked” categories or for media companies it can be trending content in the topics users are interested in.
  • Abandoner Re-Targeting: These reminders can be related to user activity such as browsed items or wish-listed products. For content businesses this can take the form of recommended content related to last viewed article or video.
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Here’s an example of a catalog update message sent as a rich mobile push. All messages MUST be personalized!

 

Recommendations:

  • Recommendations based on the customer’s Interaction Graph: The way users interact with your catalogue of products or content makes up their persona. This information is great for recommendations based on graphs created by users and other users. For example Twitter email notifications that give you suggestions on who to follow uses this same logic. The same idea can be used by retailers by leveraging data about people and products they have interacted with.
  • Recommendations based on affinity: Retail/E-commerce & media companies have large product catalogs or content. They have an even bigger data set of all the interactions users have with their catalog. This data can provide insights into preferences of users to certain categories, brands, authors, artists, price-points and more. The key to detecting user affinities is to not only look at individual user’s behavior, but also to normalize the behavior relative to other users. Growth marketers use these affinities to tailor marketing messages to every user on every channel, driving 3-10X higher response rates.
  • Recommendations based on change/updates in the catalog or app: Changes in your catalog of products or content, e.g. new arrivals in relevant categories, price drops on items that the user engaged with the website and app. These triggers are especially good for mobile push notifications since they are “newsworthy”.

Watch out for more posts about growth marketing, and check out our comprehensive guide here for everything you need to know about the subject.

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Lifecycle Stages for the Growth Marketer Part 1 – Activation

Customer lifecycle is a term used to describe the progress of a customer as they go through consideration, engagement, purchasing, and maintaining loyalty to a product or service. It starts from the first time you get a user’s attention to your product and then keeping them as loyal customer. The customer lifecycle is often depicted by an ellipse because the goal of customer retention is to get them to move through the cycle again and again.

A growth marketer’s prime objective is to drive user engagement with the product. The key to driving engagement is understanding the customer’s lifecycle stage and messaging them accordingly over time to keep them as an active customer. The first form of engagement is activating new customers. Activation is a stage when the user completes an action that indicates them getting value out of a product. This goal can be different for different business models e.g. an app like twitter might consider a user activated when they follow a certain number of other users within a given time-period; a retailer might consider a user to be active when they make their first purchase, or on a rolling basis.

Activation is the first step of the customer lifecycle when they fully experience the product or derived value from it. It is important to get users to activate faster because they can experience the product and see the value it provides. Users who don’t get activated quickly might never return since they never derive any value from the product in the time you have their attention. The core product experience is key to higher activation rates and growth marketers can help increase activation rates by extending the experience into marketing channels.

 

Below we go into some detail about the 2 ways in which growth marketers drive activation.

Welcome Series:

Welcome series from Flipboard

Welcome series from Flipboard

Almost every company or app has a welcome series of messages for activating and educating new customers. Such on-boarding emails have a 3X higher click thru rate than batch and blast emails. Growth marketers can take this strategy one step further by including the elements of product or merchandising in their emails or push notifications. A good example of this strategy is the app Flipboard. Their on-boarding process includes asking users about their interest in order to know what they like and personalize their experience in the app accordingly. This way they are able to onboard a new customer, educate them, and deliver a product that is personalized specifically for them. The welcome series is drawing the user deeper into the product and turning them into engaged users.

 

 

 

Abandoner re-targeting:

Guiding customers along their journey is very effective to activate them. This can also take the shape of re-targeting the user with a piece of the product or content if they do not activate the first time. Bringing a user back once they have abandoned is comparatively harder than connecting with first time visitors. For growth marketers to be successful at re-targeting they have to engage customers with very meaningful and compelling content to bring them back in the cycle. Abandoned cart items is an easy example of that or in the case of Flipboard it is the reminder of signing up with them to save your preferences in order to access it from the web or a different device.

Here retargeting is not only acting as a trigger to bring them back into the customer journey but also improving loyalty to the brand, stickiness of the product, and their overall lifetime value.

 


Watch out for more posts about growth marketing, and check out our comprehensive guide here for everything you need to know about the subject.

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Listening to your users: Inferring Affinities and Interests based on actual time spent vs clicks or pageloads

Listening to your users: Inferring Affinities and Interests based on actual time spent vs clicks or pageloads

Personalized recommendations rely on the idea the you know the interests of your audience. In absence of explicit feedback, interests are generally derived from clickstream data: session and event (e.g. click) data. But given that sessions can be short lived (bounce) and clicks can be unintentional, they are unlikely to reflect true interests of your audience if you simply count them.

At Blueshift, we choose to actively follow along the individual’s storyline and extract intelligence from each event to gather insights of the user’s intent and interests, so we can provide better recommendations.

Let’s look at a real user example

In the table below, we see an actual clickstream of events from a user on blueshiftreads.com.

Timestamp Session_id Event Category Book title
12:30:24 session_id1 view Biography & Autobiography > Personal Memoirs Eat Pray Love
12:31:29 session_id1 view Drama > American > General Death of a Salesman
13:48:49 session_id2 view Science > Physics > General Physics of the Impossible
13:49:02 session_id2 view Biography & Autobiography > Personal Memoirs Eat Pray Love
13:49:09 session_id2 view Health & Fitness > Diet & Nutrition > Nutrition The Omnivore’s Dilemma
13:49:19 session_id2 view Health & Fitness > Diet & Nutrition > Nutrition The Omnivore’s Dilemma
13:49:35 session_id2 view Poetry > American > General Leaves of Grass
14:09:47 session_id2 view Poetry > American > General Leaves of Grass
14:10:02 session_id2 add_to_cart Poetry > American > General Leaves of Grass

This specific user interacted during two different sessions, browsing books from different categories. If we try to come up with the top categories for this user, based on total number of sessions, we get:

Rank Category Session count
1 Biography & Autobiography > Personal Memoirs 2
2 Health & Fitness > Diet & Nutrition > Nutrition 1
3 Poetry > American > General 1
4 Science > Physics > General 1

As you can see in the table above, Personal Memoirs is the top category while the three other categories tie to second-place (they have been alphabetically ordered in that case), but other tie-breaking rules can be applied.

Time spent ranking

At Blueshift, we developed algorithms to re-rank these categories according to the time the user actually spent on your products and categories:

Rank Category Time spent
1 Poetry > American > General 1212
2 Biography & Autobiography > Personal Memoirs 72
3 Health & Fitness > Diet & Nutrition > Nutrition 26
4 Science > Physics > General 13

Here, we rank ‘Poetry > American > General’ above the other categories. Note that at the end of the original event stream above, the user actually did add the book from that category to the cart. Even if we would have ignored that event, our time based ranking would have indeed capture a category of interest to this user.

There’s more: decayed time spent

You should be careful not to rely on detailed information from a single user on a single day: if the user indeed bought the book he added to the cart, that might just be an indicator of no longer being interested in that specific category of products. Furthermore, you would want to adapt to changing user interest over time.

That’s why we implemented what we call a decayed time spent algorithm, that combines the time spent by users over a certain period of time (say last week) and that weighs recent time spent as more important to the ranking than time the user spent before (say 14 days ago).

Decayed weighting of recency this way allows recommendations to adapt quickly to shifting user interests when they are shopping during holidays and might be looking for gifts for others as well as themselves.

From user-level signal to site-wide signal

Many product recommendations are related to some site-wide top categories of products, like ‘top viewed’. Using our time based algorithms, we can better rank these top categories. Let’s look at another example from blueshiftreads.com where we show you a part (20-25 to be exact) of the top 25 most popular categories.

Using classical session counting, we obtain the following ranking:

category session count
Juvenile Fiction > People & Places > United States > African American 5358
Juvenile Fiction > Girls & Women 5291
Juvenile Fiction > Family > General 5265
Fiction > Contemporary Women 5215
Fiction > Thrillers > Suspense 4971
Fiction > Mystery & Detective > Women Sleuths 4804

However, when we rerank these categories based on actual time spent by the users, we see that ‘Juvenile Fiction > Girls & Woman’ drops from position 21 (above) to position 23 (below), even though it had 76 user sessions more in the 7 days over which this was calculated. User sessions are no guarantee for actual interest (i.e spending time).

category time spent
Juvenile Fiction > People & Places > United States > African American 102164972
Juvenile Fiction > Family > General 100447985
Fiction > Contemporary Women 98897169
Juvenile Fiction > Girls & Women 98340874
Fiction > Thrillers > Suspense 91140081
Fiction > Mystery & Detective > Women Sleuths 87372604

Furthermore, if we rank the categories using our decayed time spent, we see that ‘Fiction > Contemporary Women’ is actually ranked the highest (21) while it was the lowest (23) in the original list. This indicates that this category received the highest time spend by users in the most recent past.

category time score
Juvenile Fiction > People & Places > United States > African American 28461106.29
Fiction > Contemporary Women 28179308.93
Juvenile Fiction > Girls & Women 28068989.26
Juvenile Fiction > Family > General 27608048.02
Fiction > Thrillers > Suspense 26102829.31
Fiction > Mystery & Detective > Women Sleuths 24597921.38
Ok, why bother?

So why bother re-ranking? Well, most catalogs will exhibit a Long Tail in the distribution of popularity of their content: very few items will be very popular while lots of items will be very unpopular. No matter how you rank the popularity of the top-10 categories (sessions, clicks, time, …) out of a 1000 category catalog, these extremely popular categories will always on top. Just have a look at the top 20 categories from blueshiftreads.com:

blog_post_time_spent_top20

As you can see, the top 5 categories do a lot better than the rest. For most businesses there is a lot of value in promoting content from categories other than these few favorites. Therefore, if you can avoid down-ranking interesting categories for users and do this consistently over your whole catalog, you will be able to recommend products from the appropriate category to the users who care for it. In other words, you will avoid the pitfall of recommending an overly popular yet generic product to your users.

But time spent relates to sessions/clicks anyway?

Yes and no. It is true that more sessions correlate to more time users will spend on categories, but not to the same extent: a session length can range from a second to tens of minutes. Have a look at the next graph below.

What we see is the ranking of the 1000+ categories (on the X-axis) for blueshiftreads.com by popularity (on the Y-axis, logarithmic scale) over 7 days, in terms of 3 different metrics:

  • The blue line represents ranking by session count. It is very smooth because it really ranks all categories just in descending order of session count. This is the standard ranking.
  • The red line represents ranking by time spent by the users. It is equally smooth in the beginning (left) because it ‘agrees’ with the session ranking: as mentioned above, the top popular categories will always be on top. But quite soon, the line becomes spiky: the ranking disagrees with session count, and the spikes indicate that this ranking would reorder the categories in a different way (promoting different categories to the top).
  • The green line is the decayed time spent ranking: the same holds as the time spent ranking. This algorithm also disagrees with session count and would reorder lots of categories in the long tail to promote categories of interest to the user.

blog_post_time_spent_ranking_plot

This re-ranking is exactly what you should do to stop recommending the same popular categories to users that might have indicated (time) interest in other categories.

Blueshift helps you prevent personlization pitfalls personlization fails - avoid sending ugly emails

Avoid Personalization Pitfall # 5: Ugly Personalization!

In this series, we cover the common pitfalls all marketers face at some point when scaling personalization in their triggered marketing. From emails to mobile push notifications to SMS to display retargeting, the common platforms used today to market across channels begin to lose efficacy when organizations try to personalize their communications to an ever more complex and growing customer base.

Personalization Can Get Ugly



Watch this video to learn more about this subject from Brian Monahan, former CMO of Walmart.com 


Please, stop sending ugly emails…especially if you are going through the trouble of personlizing them. (Strike that, just don’t send ugly emails.)

Marketers using legacy systems often find that they are unable to combine “automation” with “creative” in these systems. As a result, some of the automated messages delivered by these legacy systems look ugly & “too automated” instead of personalized and delightful.

The inconsistency originates from using systems that are so complicated that the marketers have to pull in the IT and design team to execute a certain responsive ad or email and the creativity of the marketer is left behind. The customer should have a visually consistent experience as they move from one channel to another. Be it your website, app, push notification, or email, the same unique look should come across in every touch point.

Simple, Clean Designs Delight

In our experience with billions of emails and hundreds of email designs it is evident that the cleaner, simpler, and more seamless layouts get the highest CTRs and conversion rates. The goal of reaching out to customers is to delight them with a message that will bring them back to your site rather than drive them away with ugly looking emails or push notifications.

Here is an example of an email with a poor personalization design:

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This is a welcome email for signing up with Sheplers website. First thing you notice is that you cannot tell what they sell from this email. There is no mention of my name to make this personal. There are no images of products that catch your eye or a call to action. Overall this email does not provide much value to the customer.

Here is an example of a nicely designed, personalized email:

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This birthday email from LaserAway is a good way to bring back customers to your store or just staying on top of mind. There are exclusive offers and discounts to take advantage of specifically for the birthday week. There is an urgency and promotion that customers can act on.

When designing your emails, ask yourself if it is something YOU would like to receive. Or ask your team mates, friends, or your mom. Just please, don’t design ugly personalized emails.


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  • Receive an audit of your current triggered activities with a marketing consultant

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Personalization Pitfall #4: Poor Historical View of the Customer

In this series, we cover the common pitfalls all marketers face at some point when scaling personalization in their triggered marketing. From emails to mobile push notifications to SMS to display retargeting, the common platforms used today to market across channels begin to lose efficacy when organizations try to personalize their communications to an ever more complex and growing customer base.

Poor Historical View of the Customer



Watch this video to learn more about this subject from Brian Monahan, former CMO of Walmart.com 


Lifecycle marketing is a highly engaging way companies can re-activate or re-engage old customers. Using past interaction and transactions online, companies surface relevant products and promotions through different channels to influence a purchase. Sounds simple enough right? On the contrary having a 360 degree view of your customers over a long period of time and in real-time is very tricky for most businesses and our pitfall number 4.

Out with the old…

An old approach to this strategy has been to remarket to customers based on each item they browsed without taking their historical behavior into consideration. If a customer is browsing patio chairs, hammocks, and outdoor umbrellas, they are probably looking to furnish their backyard. Offering them 5 options of patio chairs might not be the best way to influence a sale.

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Overcome Amnesia of Your Customers

Your product recommendation engine has to be smart enough to suggest “next best products” or “complete-the-look products” or a product in the same category or brand. Only personalized, smart product placement and recommendations can work to win back customers in the highly competitive market of today.

The key to re-marketing the right way is to connect every piece of user behavior and past purchase in real-time with a deep knowledge of the company’s catalog. Using a holistic customer view, marketers can provide a hyper-personalized story relevant to each user’s context.


Subscribe Now to this series
To learn more about all the common personalization pitfalls covered in this series, watch this VentureBeat Webinar that provides real world examples and fixes you can start using now.


  • Each update sent directly to you with extra tips NOT included in the blog posts
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  • Receive an audit of your current triggered activities with a marketing consultant

BLueshift solves the message overload problem for marketers. Monitor the frequency of all of your messages across all channels to avoid annoying your customers

Personalization Pitfall 3: Customer Message Overload

In this series, we cover the common pitfalls all marketers face at some point when scaling personalization in their triggered marketing. From emails to mobile push notifications to SMS to display retargeting, the common platforms used today to market across channels begin to lose efficacy when organizations try to personalize their communications to an ever more complex and growing customer base.

Overcoming the Message Overload Pitfall


Watch this video to learn more about this subject from Brian Monahan, former CMO of Walmart.com 


When you build out your company’s personalized marketing landscape you soon find your volume of messages increasing exponentially. As you set up re-engagement campaigns along the customer journey, the volume of messages across all channels can quickly add up to 10 or 15 different messages. Of course, that doesn’t mean you send them all 10 of these messages in one day or even a week. Customers feel overwhelmed if their inbox is flooded with one particular company emailing them again and again. Message overload is a sure way of ending up in your customer’s spam folder or worse, unsubscribing from all your communications. This rapid deluge of communications to your customers is our pitfall #3.

Don’t Be Annoying…

Message Overload across all channels is a personalization pitfall

Finding the balance between quality and quantity will save marketers from those dreaded mistakes of sending a customer too many messages in a day. But how do you make sure you aren’t sending to many messages across all your channels?

The way to achieve message zen is by smart segmentation of customers who fit a certain criteria based on their attributes and behavior on site. Behavior-based marketing resonates better than single trigger marketing because it tends to be more accurate rather than an in-the-moment action or even sloppy demographic focused bucketing. Grouping together customers who have shown similar behavior and sending a set of targeted messages that are personalized to their persona is a controlled way of using triggers on your site.

Think Beyond the Inbox…

“don’t simply focus on the amount of messages you send per channel, look at the aggregate of ALL of your messages sent through all of your channels”

Another way of working around the message overload problem is to build and monitor multi channel campaigns. Marketers constantly compete for inbox space along with numerous other brands. When’s the last time you looked at your inbox and didn’t feel like you were being yelled at by dozens of brands? A quick reminder to complete your purchase and checkout can easily be done via text message or push notification – abandoned cart campaigns are not simply just an email tactic. Dividing your messages across different channels can keep your brand name top of mind and limit annoying your customers. And remember, don’t simply focus on the amount of messages you send per channel, look at the aggregate of ALL of your messages sent through all of your channels. Otherwise, you still run the likely risk of annoying your customers with message overload.


Subscribe Now to this series
To learn more about all the common personalization pitfalls covered in this series, watch this VentureBeat Webinar that provides real world examples and fixes you can start using now.


  • Each update sent directly to you with extra tips NOT included in the blog posts
  • Access to the VentureBeat Webinar with former head of marketing at Walmart.com
  • Receive an audit of your current triggered activities with a marketing consultant

Gift Present Celebrate Party Wrapped Simple Concept

Personalization Will Make or Break Holiday Season Campaigns

Customers demand respect from retailers. They ask simply for organizations to remember who they are as an individual consumer from a transaction and a behavioral perspective — otherwise, they are likely to purchase less frequently, or, more than likely, churn to a competitor who does understand them and communicate with them better at that individual level.

Personalize, personalize, personalize!

This has been the mantra of marketers looking to communicate with their customers at a highly relevant and engaging way. According to the latest report by Accenture covered by MediaPost:

  • 56% of respondents acknowledged they were more likely to shop at a retailer that recognized them by name
  • 65% of consumers expressed a preference for retailers that remembered their purchase history
  • 58% of respondents were more likely to shop at stores that offered relevant recommendations based on past purchases or preferences

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The need for smarter cross-channel personalization…

It’s important to point out that marketers are being asked to personalize across all channels, not just one or two. In fact, as the Accenture report highlighted, less than 50% of consumers completed a purchased based on an on-site product recommendation. The perpetually connected consumer now enters the buying cycle from a number of channels and touch points: email, Facebook, SMS, mobile push notifications, in-app personalizations, and numerous others.

And forget about flooding a consumer with a higher number of product recommendations. The “Quantity over Quality” tactic is similar to annoying batch and blast techniques used within emails by out-of-touch marketers. Filling a page or a communication with a dizzying number of recommendations only annoys and splits the buyers attention away from products that they are more likely to purchase. According to the report, almost 40% of respondents admitted to abandoning an online shopping experience altogether because of an overwhelming choice of recommendations

The “Burden of Choice” is in the hands of the brand. Brands must serve only the best recommendations to the right person built through predictive algorithms that sift through the dozens or even hundreds of “best products” that could be delivered to the consumer and transform that into the best few.

Read the full article on MediaPost.

 

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Personalization Pitfall #2: Old-School Linear Customer Journey

Marketers rely on customer journey mapping to optimize what customers see every step of the way. But with the rise of multiple devices and the perpetually connected customer (a.k.a “perpetuals”), it is becoming harder for marketers to define the different ways a customer interacts with content or products. In today’s increasingly complex environment, marketers must change the way they conceptualize a path to purchase and adopt a new paradigm — real-time context.

Perpetual’s can’t be pigeonholed into old-school linear journeys. They carve their own path to purchase and the number of possible paths to purchase increase exponentially due to multiple devices and different intents. Perpetuals too often turn to their phones in search of information, whether they’re at the gym, commuting to work, or shopping for groceries. Google refers to these spontaneous instances of discovery as micro-moments, and they’re opportunities for brands to meet their customers at moments of intent.

An example is that Jack could be leaving the gym and thinking about buying another pair of gym shorts which he searches for on his phone and places in his cart. A few hours later, he remembers he has to go to a friend’s birthday in a week and starts looking at gift options for them on his laptop. Tech savvy marketers have to be able to react to the changing needs of customers like Jack as his intent changes, in real-time, across different channels, and with the right content.

Watch this video to learn more about this subject from Brian Monahan, former CMO of Walmart.com:

Personalization Pitfall 1: Outdated messages

Common Problems Faced when Scaling Personalization – Part 1

In this series, we cover the common pitfalls all marketers face at some point when scaling personalization in their triggered marketing. From emails to mobile push notifications to SMS to display retargeting, the common platforms used today to market across channels begin to lose efficacy when organizations try to personalize their communications to an ever more complex and growing customer base. The problems stem from generic/ out-of-the-box triggers, poor segmentation, outdated information, lack of real-time processing, and disconnected channels, to name a few.

If these pitfalls aren’t addressed in your marketing strategy, you risk pushing customers away, often to your competition. By building a better personalized customer experience across all channels, you build more loyal returning customers. Customers today demand 1:1 communication and a high degree of relevancy in any marketing message.

Subscribe Now to this series


  • Each update sent directly to you with extra tips NOT included in the blog posts
  • Access to the VentureBeat Webinar with former head of marketing at Walmart.com
  • Receive an audit of your current triggered activities with a marketing consultant

Personalization Pitfall #1: Outdated messages

According to Forrester Research, “Trigger based email marketing campaigns can generate 4x more revenue and 18x greater profits”. Triggered messages are known to be 5 times more responsive than batch and blast campaigns, which makes triggered marketing communication very attractive to marketers. As simple as it is to send out triggered messages, it is also that much easier to get them wrong. Triggered messages are personalized based on a user’s engagement with your website or mobile app. The timing and content has to be precise because any delay in the data or message can lead to outdated messages being sent to your customers who then in-turn will unsubscribe because they feel spammed, and will often take to social media to voice their opinions:

message1

 

message2

 

message3

One of the most common pitfalls we hear about from marketers using triggers is their customers getting outdated messages through retargeting. It’s very common for customers to receive a display ad or email about a product they have already bought; or a recommendation for a product that has nothing to do with their purchase history or recent interaction with the brand. “54% of consumers would consider ending their relationship with a retailer if they are not given tailor-made, relevant content and offers.” Retailers can no longer afford to run outdated triggered marketing through their legacy systems. It pushes customers away and shows a lack of respect for your customer’s buying habits.

Here is a small recording on this very issue from our webinar with VentureBeat, “How to become a personalization ninja and delight every customer“:



become_a_personalization_ninja_with_blueshiftTo learn more about all the common personalization pitfalls covered in this series, watch this VentureBeat Webinar that provides real world examples and fixes you can start using now.

Subscribe to this series for instant access to the full video.>>


Focus on Real-Time Data

Most retargeting campaigns are based on customer actions, browsed products and abandoned cart being some very common triggers. But if the systems of record (CRM) and systems of action (ESP, DSP, Facebook retargeting, etc) are not synced in real-time when a customer makes a purchase, this faulty cycle will keep repeating itself. Unless customer data is updated in real-time, there will always be outdated information being presented in display ads or emails going out to customers.

Personalization Pro Tips:

Blueshift has worked with several marketing leaders that have scaled their personalized marketing programs to deliver engaging personalized user experiences. Here are our top tips to get the most out of your personalization efforts:

  • Don’t settle for Near Real-Time: For the best customer experience, use systems that enable you to personalize with true real-time information.
  • Remain goal oriented: Understand your key performance indicators and how they affect the entire campaign, not a single send.
  • Personalize across channels: Use multiple marketing channels to scale your marketing program, instead of limiting it to email.
Gift Present Celebrate Party Wrapped Simple Concept

Beyond Basics : Advanced Personalization strategies for Re-marketing Triggers

Re-marketing based on behavioral triggers like abandoned cart, abandoned search and abandoned view are must do’s for any digital marketer to engage customers and bring them back to your site or app. More often than not it’s very tempting to do just the basics, may be your e-commerce platform vendor gives few out of box “widgets” to replay the content or products and you can tick a box and call it done. But that would be waste of a great opportunity to engage with your users fully at the moment they are most interested in your offerings and showcase the full depth and breadth of your catalog.

Imagine your self in the shoes of your customer – They were on your site or app for a reason. Why did they abandon their visit? Are they looking for better price? Are they looking for affordable alternatives? Are they looking for quality recommendations? Are they looking for things that go along with their previous purchases? Are they looking for hot new products they heard about? Or are they just window shopping? May be it’s mix or all of them and you can’t tell. But you can tell a better story than replaying what they have seen. Multi-touch campaigns over their preferred channel with content personalized to each user are a great way to showcase and up sell your offerings.

Here are few advanced personalization strategies to try, going beyond replaying the products your customer has viewed or added to cart.

  1. Related Products : “What Other Items Do Customers Buy After Viewing This Item?” Based on the product that was abandoned you should consider including these in your messages. Very often this is helpful as a first touch in moving your customer down the conversion funnel helping them make informed choices.
  2. Up-sell Products : “What are the top sellers in the category of the item viewed”? Based on the category of the product that was abandoned you can showcase your best sellers from those categories and optionally you can restrict it to specific brands.
  3. Trending Products : May be some of your products are not best sellers yet but they have been recently added to your catalog and are already selling out. Consider including them in your messaging with appropriate call outs.
  4. Affordable Alternatives : Your catalog likely has a breadth of products that are in the same category but are more affordable. Add them as alternative recommendations.
  5. Most Discounted Products : Your customers will likely want “quality” products but want them to be affordable getting most value for their money. And may be you are doing seasonal promotions or roll backs. Consider tying them together to the product and category of the abandoned product.

Depending upon your catalog and the number of touch points you have with your customers you can do all of the above or a mix of them. At Blueshift we have built a DIY Personalization Studio to do all of the above and more without needing to go through development or IT cycles. Re-marketing based on behavior triggers is the most effective messaging you can do as a digital marketer. Do not waste a great opportunity to win over the customer by doing just the basics. Learn more about behavioral triggers with our comprehensive e-book. Learn how our clients like UrbanLadder are using advanced personalization strategies to improve their conversion rates by 400%. If you are ready to take your triggered marketing to the next level say hello.