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The 4 Best Growth Marketing Campaigns That Delight Travelers

This series of blogs goes into detailed campaigns that growth marketers can run for specific industries. These campaigns are tailored towards goals and revenue that growth marketers are responsible for. Our third industry deep dive takes a look at the digital travel booking industry and campaigns specifically tailored for growth marketers to move users along the buying cycle fast and keep them coming back for more purchases.

The digital travel industry has come a long way in the past decade. What started from a handful of booking sites has grown into thousands of websites all fighting for attention through price comparisons, user experience, loyalty benefits, convenience, etc. Everyone is working hard to differentiate themselves from their competition. What they all have in common is thousands of people coming to their site everyday, ever changing inventory and prices, and millions of unique searches of what people are looking for. This creates the perfect recipe for growth marketers to cook up something new in digital engagement campaigns.

Below are 4 personalized email and notification campaigns growth marketers at digital travel companies launch to reduce churn. 

Abandoned Search

For your known users who make a search on your site and do not make a purchase, you can recommend fares based on their recent search with the dates and location from the search. This has to be sent out 1, 3, & 7 days after the search since it is a time sensitive search.

Add a Hotel/Car

A great up-sell campaign for customers who have recently booked a flight on your site is a personalized offer to add a hotel or car to their booking on those same dates based on the flight location/dates. This has to be executed immediately or between 1 and 3 days of the customer booking the flight.

Trending Getaway Deals

This is a great evergreen campaign for all your users to send them the latest and trending weekend getaway deals personalized based on their specific location. It can be sent on a weekly or monthly recurring basis. below is an example using a visitors location to deliver weekend getaways within relatively close distance to them.

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Location based recommendations

 

Promotions

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Promotional Sale

Another great evergreen campaign that requires little work on the marketers part is a promotions campaign. Airlines and hotels put out promotional offers every now and then and those can be used to send personalized offers of deals from nearby airports/locations based on the user’s location to your active customers on a weekly or monthly basis.

 

 

 

 

 


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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Top 4 Campaigns that Reduce Churn for Subscription Service Companies

This series of blogs goes into detailed campaigns that growth marketers can run for specific industries. These campaigns are tailored towards goals and revenue that growth marketers are responsible for. Our second industry deep dive takes a look at the subscription service industry and campaigns for growth marketers to reduce churn and increase customer loyalty.

The subscription service model is unique compared to the conventional retail sales cycle. They measure their business with different metrics and have different goals. Some metrics that growth marketers at subscription companies are held accountable for are churn, up-sell, and win-backs. Much can be done to impact each of these metrics at different stages of the customer lifecycle. Here is a breakdown of personalized emails and push notification campaigns to use for reducing churn and increasing revenue for a subscription service company.

Churn Intervention: Marketing teams can use churn score rates to create a segment of at-risk customers based on their behavior or low engagement with the product. These customers can be sent personalized offers or incentives based on their purchase or browse history to continue the subscription on day 1, 7, and 30 days after they qualify for the churn list.

Subscription Upsell

Subscription upsell example from Birchbox. Prompting customers to gift a box for valentine’s day.

Subscription Up-sell: AI driven scoring can highlight customers with high up-sell propensity based on high engagement volume with the product. These highly engaged customers are great for incentivizing to switch to the next subscription tier since they are satisfied with their current tier. These messages can be sent out 1, 7, and 30 days after they show behavior of high up-sell propensity.

Abandoned Cart Email

Sense of urgency for customers who have not signed up.

 

 

 

 

Abandoned Cart: For the visitors on your site who have shared their email address but not made their first purchase or were in the middle of making a purchase but abandoned the session can be reached out to with very specific product they were looking at. Since these customers have not yet made a purchase it is imperative that the outreach be fast and timely (1, 3, 7 days after abandonment) or else they lose their intent to make a purchase or reason for considering the product in the first place.

Win Back Email

Offering a free snack and discount to churned customers

 

 

Win-back: For those hard to convince churned customers, growth marketers can offer personalized promotions based on an uplift strategy. The cadence can be 1, 2, and 3 months after churn since you don’t want to annoy these customers who are already out of the buying cycle. They no longer see the value in the service and it’s very hard to change their mindset while not putting them off.

 

 

 

 


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 Growth Marketers Part 3 – Win-Backs

Read Part 1 and Part 2 of our series “Lifecycle Stages for the Growth Marketer”.


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 a a circular cycle 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. Unfortunately, customers churn. Churn is a natural part of the process, however, as a growth marketer, you are responsible for bringing users and customers back.

Enter the Win-Back Campaign

Win-back campaigns are about re-activating churned customers or those who are at risk of churning. It is the typical customer lifecycle to become inactive due to the product losing its charm or relevance for the user. These tend to be the hardest to gain back but that’s the challenge growth marketers have signed up for. Growth marketers can deploy different strategies and campaigns to win-back churned customers and their effectiveness depends on how personal and creative you can be.Screen Shot 2017-02-20 at 10.27.34 PM

Traditional win-back marketing campaigns like “We miss you” and “Psst! Come back for 25% Off Your Entire Order” lack any kind of real-time data and insight into the customer. In addition, they actually don;t do much for the long term retention of a customer. Growth marketers have the ability to get more creative by providing actual value to users to get them to come back. (Don’t get us wrong, a discount/promotion code has a time and a place, but that strategy is often for short term gains.)

What is helpful about churned customers is that they are known users who have interacted with the product before in some form. This gives growth marketers large amount of data to use regarding the customer preferences to personalize all messages they send their way. This is an opportunity for growth marketers to think creatively on how to get a customer’s attention again.

 

An Example of a smart Win-Back Campaign

Here is a great example of Pinterest using known user attributes to suggest relevant people and topics to its churned customers to bring them back into the engagement lifecycle.

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Read Part 1 and Part 2 of our series “Lifecycle Stages for the Growth Marketer”.


 

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 Growth Marketers Part 2 – User Retention

Read Part 1 and Part 3 of our series “Lifecycle Stages for the Growth Marketer”.


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 a a circular cycle because the goal of customer retention is to get them to move through the cycle again and again.

Once you have the customer, it’s time to keep the customer. For Growth Marketers, much of their time must be focused on this area, otherwise you risk churning higher than normal amounts of users. (what is “normal” depends on your industry and business model.) In this stage, the focus is on Retention.

 

Enter Retention Campaigns

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.

 

Recommendations:

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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 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”.

Read Part 1 and Part 3 of our series “Lifecycle Stages for the Growth Marketer”.


 

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

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.

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4x Conversion Lift: Urban Ladder Finds The Secret Sauce to Reach Online Furniture Shoppers

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Urban Ladder is a leading online furniture and home decor company that provides a curated shopping destination for your home. Their modern designs and uniquely styled products attract millions of customers and has propelled them to be the #1 source for furniture in India. With millions of customers coming to their site via multiple channels and interacting with their catalogue of over 4,000 products across 50 different categories, they found it hard to market to all their customers while staying true to their promise of a personalized experience.


“With Blueshift, we have launched very personalized triggered campaigns on email & mobile app push notifications. We are seeing significant improvements in conversion rates on these marketing campaigns which are highly targeted and relevant for the users.”

Ashish Goel, CEO of Urban Ladder

 

Urban Ladder turns to Blueshift to help address its issues

Urban Ladder’s unique design at the heart of every marketing message

Urban Ladder’s unique design at the heart of every marketing message

Urban Ladder has a distinctive brand and look which had to come across in every channel they market across. With a web based store and a mobile app, they had a hard time tying in multiple data sources into a unified customer profile in real-time. They needed a robust recommendation engine for their 4,000+ product catalogue consistent with each person’s browsing and purchase behavior. Handle personalization to varied sales cycles, like furniture which tends to have long consideration cycles rather than home decor, which can be impulsive.

 


Blueshift’s Solution

urban-ladder-out-of-stock-notification-with-recommendations-of-other-products

Blueshift provided the ability to unify each user’s behavior data across mobile and email for a complete 360-degree view of the customer. It enabled Urban Ladder to deliver a consistent user experience across all channels that represented their brand along with powerful recommendations and simplified paths to purchase.

After a quick integration Urban Ladder was able to launch cross-channel triggered campaigns for welcome series, abandonment, post purchase, complete-the-look cross sells, and product recommendations based on user behavior in just a few days.

 

 

 

Urban Ladder using the “back in stock” product alert in their newsletters powered by Blueshift.

Urban Ladder using the “back in stock” product alert in their newsletters powered by Blueshift.


 

Conclusion

Urban Ladder Realizes a 4x lift in conversions and a rapid time to value outperforming all other vendors
Urban Ladder now delivers a delightful user experience across mobile & email by combining their in-house creative team and Blueshift technology. Using the 360-degree customer profile powered by Blueshift as the foundation of their customer data and utilizing deep segmentation capabilities of Blueshift, Urban Ladder has seen 4x higher conversion rates over previous tactics.

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Market to Verbs, not Nouns

Marketers have always believed in targeted marketing. In the past, targeting has meant building a database of customers and their attributes, especially demographic attributes like first & last name, gender, location, and more. In this notion of database marketing, the databases describe nouns, like customers and products, and attributes of these nouns.

I wrote an article today in CMS Wire on how marketers should market to verbs, not nouns. Today’s leading edge marketers are finding that targeting based on nouns is outdated in the world of “Perpetually Connected Customers”, who are accessing information every second on web & mobile. The Perpetually Connected Customer’s actions & behavior are an indicator of their needs and wants desires, and marketers are confirming something that we have always suspected: that customers are multi-dimensional, and behave differently at different times.

2016-13-september-constant-motion

Why are verbs more important than nouns in targeted & personalized marketing? And why is their importance increasing over time? The two primary drivers are related to how customers have changed over the recent years, and how media has changed:

  • Perpetuals are not the same consumer from moment to moment: Perpetuals’ willingness to consume, changes depending on what they are doing. When describing people or customers, you could choose to describe them using static attributes like location or gender, that don’t change over time. However, people are multi-dimensional, and their interests and desires shift over time. Understanding the customer’s stream of actions is the only way to react to the changing desires of the perpetually connected customer.
  • The death of mass-media and the drive towards 1:1 personalization: Customer attention spans are shifting away from mass-targeted media (like broadcast TV) towards truly personal mediums where people consume content on their own terms. Correspondingly, marketers and advertisers need to shift their framework away from describing people in ways that are hangovers from the mass-media world –using attributes like gender, location, education etc. Instead, marketers need to concentrate on understanding the set of actions that truly set every individual apart, as no two customers rarely ever follow the same sequence of interactions with the same items.

To read more, head over to CMS Wire.

 

 

 

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Mobile E-commerce Done Right!

In 2014 the number of mobile users exceeded desktop users for the first time, accounting to 52.1% of all online traffic. (IBM report) This marked an important shift for marketers and how they communicate with their customers. The challenge facing them now is how they can deliver the best mobile experience to their customers.

Large "Add To Basket" button

Large “Add to Basket” button

Simple home page

Simple home page

Simplicity for mobile: When designing your app, less words and big buttons mean easy navigation. Keeping forms simple and short adds to a seamless mobile experience. A great example is the simple design of the Sephora mobile app. The main page only has 4 big buttons, and the item page has a big “Add To Basket” button that sits at the bottom of the screen as you navigate the page so you can press it any time you feel and not have to navigate back up to find the button.

Responsive content: A user can be browsing on a tablet, and use their desktop to make a purchase, and check the confirmation email on their phone. It is necessary to have responsively designed website and emails so it responds to any kind of device accessing it.

App benefits: The GPS in phones is a great feature to get creative with. Anything from store proximity offers, to digital loyalty cards showing up on your screen when you are near a store can be a great incentive for customers to make a purchase. Giving special discounts i.e. “Mobile Offers” in the Sephora app is a great incentive for customers to convert.

Personalized push notification

Personalized push notification

Meaningful Engagement: Sending your customers personal and relevant content in your text and push notifications makes a meaningful connection with your customers rather than the generic messaging they have grown immune to. Not only can you use their name, but also other attribution like items left in cart, geo targeted promotions or next best product based on their last purchase. Engaging your app audience outside of the shopping experience is also important to maintain customer relationship. A company that does a great job at this is Starbucks, which sends its app holders “song of the week” and “app of the week” every week and the occasional special offers from the store.

Rich push notification

Rich push notification

Express Line for Mobile: Quick checkout options from PayPal, Apple Pay, Visa, etc. can greatly reduce the checkout time with a mobile device. Including a fast payment method will become a norm in the near future as smartphone users grow year after year.

Social Connectivity: Prompt users to share out on social networks and drive customer engagement with campaigns that let users share content on your app or drive a conversation around a certain product or event. As you drive engagement you also create a loyal customer base that keeps coming back, similar to our example of Sephora.

The mobile market has marked a major shift in the commerce market and is worth paying attention to because this vertical is only going to increase in the coming years, as will the market share for mobile revenue.