Behavioral targeting strategies for ecommerce brands during the holidays | Simon AI
Behavioral targeting strategies for ecommerce brands during the holidays
Author: Brad White
Table of contents
- What is behavioral targeting?
- Behavioral targeting based on historical data
- Targeting holiday shoppers broadly
- Interest or wishlist-based campaigns
- Targeting customers based on their location
- Use weather data
- Targeting based on loyalty
- Targeting trendsetters
- Behavioral targeting using real-time data
- Ensure your abandonment flows are optimized for holiday shoppers
- Abandon Cart Strategies
- Abandon Browse Strategies
- Optimize your post-purchase experience
- Use SMS
- Create a separate post-purchase experience for gift purchases
- Behavioral targeting using predictive analytics
- In conclusion
What is behavioral targeting?
Before we get into the strategies we need to define behavioral targeting. It's a tactic that delves into the past, keeps an eye on the present, and even peers into the future – much like the spirits haunting Mr. Scrooge. Behavioral targeting involves tailoring your marketing strategies based on a user's behavior - past, present, or predicted.
Customer behavior can be defined by a range of activities, including website visits, searches, social media interactions, and purchase history. By analyzing these behaviors, e-commerce brands can gain valuable insights into their customers' preferences, needs, and intentions. During the holiday season, understanding and effectively utilizing behavioral targeting can be a game-changer for reaching your intended audience and driving the action you want them to take.
Behavioral targeting based on historical data
Targeting holiday shoppers broadly
Nearly every ecommerce brand has a list of customers acquired in the previous years’ holiday season and haven’t engaged with the brand since, OR are known to only shop during peak season. By tracking how customers have interacted with your holiday promotions in the past, you can create targeted campaigns based on preferences and include personalized offers, product recommendations, and trending holiday promotions. Be sure to warm up this list in the weeks leading up to Black Friday and Cyber Monday to avoid any deliverability issues.
Interest or wishlist-based campaigns
You can measure customers’ interest in a certain product or category based on a number of behaviors including product or category page views within a certain time frame, wishlist additions, engagement on social with product-specific content and even recent purchases. We suggest creating cross-channel campaigns that dynamically feature exclusive promotions on the products or categories that your customers have shown an interest in.
- Feature products they’ve engaged with multiple times on your site within the past 6 months
- Personalize discounts by featuring high price items that they’ve added to their wishlist
- Create a personalized shopping list featuring dynamic product recommendations inspired by previous browsing behavior, purchases and engagement.
We’ve seen this strategy deployed effectively in holiday countdown campaigns - i.e. 8 days of Hanukkah or 12 days of Christmas - where each day reveals a sale item tailored to a customers past product engagement.
Targeting customers based on their location
While not a behavior per se, location-based marketing uses a user's known location to inform a brand's interactions with them. The location data can be gathered across past interactions with the brand. The execution of this strategy can vary during the holidays. Location-based targeting can offer a ton of value to brands with brick and mortar stores. For instance, you can set a geofence around a store location and trigger a push notification to customers in the surrounding area with a special offer to entice them to stop by. You can also use customer location to personalize the content of your email.
Use weather data
Similar to the previous strategy, you can use a weather API, such as WeatherAds, to personalize email, SMS, push and even paid social promotions to dynamically feature weather-appropriate products based on the customers location, or even trigger weather-specific campaigns. Your website is a great channel to deploy this strategy because it doesn’t require any dependence on 3rd party cookies.
Targeting based on loyalty
Rewarding your most loyal customers is an excellent way to show your appreciation and keep them engaged with your brand. Build a segment of customers with the highest customer lifetime value and offer them exclusive discounts, free gifts, or early access to holiday sales.
Targeting trendsetters
Build a segment of customers that frequently engage with items marketed as new or popular. Send them targeted communications across email, SMS and paid social featuring hot or trending items, holiday gift guides and influencer-generated content to provide social proof.
Behavioral targeting using real-time data
Ensure your abandonment flows are optimized for holiday shoppers
In an e-commerce context, the definition of abandonment is relatively simple: did the shopper make a purchase, or did they leave your website? But if you dig deeper into the customer journey leading up to a purchase, you can quickly uncover that “abandonment” is an oversimplification of a much more complex set of customer behaviors along the path to purchase.
This is especially true during the holidays. Most buyers who abandon a purchase right before hitting the payment button can be brought back via targeted communications. Here are a few strategies to consider:
Abandon Cart Strategies
- Shorten the time delays for abandoned cart notifications during Black Friday, Cyber Monday or any other major promotions.
- During BFCM, move the SMS touchpoint higher up in the journey to create more urgency.
- Use SMS to send any last minute updates, including end-of-sale or shipping deadlines.
- Overcome uncertainty by leveraging social proof and influencer generated content to encourage customers to come back and complete their purchase.
Abandon Browse Strategies
- Again, shorten the time delays for abandoned browse notifications during Black Friday, Cyber Monday and other time-sensitive promotional periods.
- Create a segment of frequent browsers - customers who have viewed a product detail page or category page multiple times. Send targeted communications featuring these products in the days leading up to and over the course of BFCM.
- Use flash sales. Alert customers who have previously viewed items of same-day flash sales on similar brands or products. Include low-inventory messages to double-down on urgency.
Optimize your post-purchase experience
Getting the customer to convert is great, but one-off orders don't make for great brand longevity. Brand loyalty is not built on products anymore - and many brands fumble the ball when it comes to post-purchase experience.
Use SMS
According to Crazy Egg, SMS messages have a 98% open rate within the first 90 seconds of sending. This means if you're not using SMS in your post-purchase experience, you should. Here are some strategies to incorporate SMS into your post-purchase journey:
- Shipping alerts are highly effective during the holidays when customers will be stressing about ensuring their gifts arrive on time.
- Share relevant content to help customers get more value out of the product they purchased.
- Invite customers to your loyalty program and offer them credit towards their next purchase.
- Recommend relevant add-on products based on recent purchases.
Create a separate post-purchase experience for gift purchases
If a customer places an order during the month of December, adds a gift note, and ships it off to an address that's not their own - they're practically screaming "I'm sending a gift!" Brands should treat these gift orders uniquely, creating an experience that is relevant. Your first email should include a reference to the fact that their purchase was a gift. You may want to include relevant information about returns if there are any complexities there.
Behavioral targeting using predictive analytics
Leverage predictive models and algorithmic personalization enables you to deliver a customer experience that is close to 1:1. We've seen predictive models used effectively in the following ways:
- Recommend products - leverage predictive models to recommend products or bundles of products to certain cohorts of customers that are likely to buy them.
- Target your best customers - if you know who your best customers are, leveraging lookalike models can help you attract more of the same.
- Pinpoint at-risk customers - churn propensity models can predict the likelihood that a customer will churn by analyzing various datapoints. Once you've identified who's at risk, you can take proactive measures to retain them by offering specialized promotions.
In conclusion
As the 2024 holiday season approaches, remember that the magic of effective marketing is simple: by understanding your customers on a deeper level, you'll be able to connect with them in more meaningful ways. Behavioral targeting is a critical marketing strategy that allows brands to create impactful experiences and memorable connections.