10 Brilliant Examples of Personalized Marketing and Why They Worked
Figures from Salesforce reveal high performing businesses use data-targeting and segmentation 51% more than underperforming businesses. It stands to reason.
Today’s consumers expect personalization, and brands who use data-driven marketing campaigns to deliver this are seeing the results.
According to Marketingprofs, businesses that personalize web experiences see an average 19% increase in sales.
What’s more, according to recent Epsilon research, 80% of consumers are more likely to do business with a company if it offers a personalized experience. So not only do customers expect personalization, they value it.
Here, we look at ten brilliant examples of personalization in practice that prove the value in getting to know your audience.
Amazon’s recommendation algorithm consistently makes headlines for its strategic approach to personalization.
Continually being updated to create more tailored experiences, the tool suggests products not only to fit the individual, but different aspects of their personality. Cleverly encouraging impulse buying by highlighting key tastes and products to match, it’s a tactic that pays off.
The company reported a 29% sales increase to $12.83 billion during its second fiscal quarter, up from $9.9 billion during the same time the previous year.
Personalization isn’t just a tactic for building brand trust. When done right, it presents endless upsell opportunities for improved sales.
2. Point Defiance Zoo & Aquarium
In an effort to boost membership numbers, the Washington team analyzed their data to identify which postcodes were home to the zoo’s most frequent guests, targeting discounted campaigns to others within those catchment areas.
This resulted in a 13% increase in membership during Q1 alone.
Audience profiling by location enables brands to target lookalike consumers to expand their reach in a more targeted way.
Following the success of Facebook’s personalized video, Cadbury’s chose to create its own. But instead of giving consumers a look over their past year with the brand, it spoke to customers’ personal tastes in chocolate.
The campaign, which ran in Australia, matched a Dairy Milk flavor to users based on elements from their Facebook profile, including age, interest and location. Once the user agreed to connect with the brand, a video utilizing their own content, including photos and personal information, was automatically generated.
The campaign obtained a 65% click-through rate and a 33.6% conversation rate, proving the personal touch works.
Personalized stories resonate, and there’s a wealth of consumer data at your fingertips to help you tell them.
4. Marie Curie
Encouraging people to collect money for the charity on the high street, The Great Daffodil Appeal was launched, gathering each supporter’s geolocation data and matching this with its database of collection sites.
This information was used to integrate a real-time personalized map in the email campaign detailing the supporter’s nearest collection sites. The charity then used modelling to derive a target population and drive persona-driven messaging based on collection history and previous interactions with Marie Curie.
The campaign boosted registrations year on year, with a high skew towards online sign ups.
Consumers want to know how something directly impacts them, so personalization is sure to give a message greater resonance.
Starbucks 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 (around 22% of all U.S. sales).
The more data you get from your consumers, the more tailored your marketing can be.
The Swedish sustainable food retailer wanted to raise awareness of its offering on Facebook. It ran a series of prospecting campaigns segmented by the main target audiences, grouped mostly by demographics, designed to drive new visitors to its website.
The retailer then ran highly relevant dynamic ads featuring different products, based on different Facebook user profile segments.
Between October 2015 and March 2016 it achieved an 84% increase in website revenue.
Segmenting audiences enables brands to display the most relevant products or services to the right consumers at the right time.
Netflix is famous for its viewing recommendations, using an algorithm that’s consistently being developed and improved. But the personalization doesn’t stop there.
The streaming giant has a firm strategy in place for what artwork subscribers see as they browse the product catalogue. Based on previous actions, it aims to entice the right viewer to the right content.
A spokesperson said: “This is yet another way Netflix differs from traditional media offerings: we don’t have one product but over a 100 million different products with one for each of our members with personalized recommendations and personalized visuals.”
And with a top line of around $9 billion in 2016, a 30% increase year on year, it’s a strategy that’s paying off.
It pays to consistently develop your approach and get creative with your data.
Looking to make their ‘tariff refresh’ ad more relevant and engaging for mobile audiences, the team used data based on device and location to tailor their messaging to their consumers.
Using this data, they could offer personalized ads that showed what the best offer for that individual was, what similar users preferred to upgrade to, and where their nearest store was located.
The personalized ads performed 128% better in terms of click-through rate.
Understanding how consumers use their devices, in conjunction with other behavioral data, you can optimize a campaign for more impactful results.
The famous ‘Share a Coke’ campaign, first launched in Australia in 2012, still retains its title as one of the most original examples of personalized marketing to date.
The idea was to spread advocacy and love for the brand by replacing the soft drinks logo with consumer names, encouraging people to share with friends and spread the brand’s message using the hashtag #shareacoke.
In the wake of the original campaign, Coca Cola Co. saw a rise in sales for the first time in over a decade.
A spokesperson from Coca-Cola said: “This campaign taught us that personalization can only be highly engaging and effective if it can be shared with a wide audience.”
Don’t just make it personalized, make it shareable.
To mark its 20th anniversary, the brand launched a data-driven campaign that brought each customer’s travel history with the airline to life. Its email campaign used customer data to build individual stories, such as when and where they first travelled with easyJet, and where they might like to go next.
The emails used 12 modules combining graphic devices, destination imagery and copy based on 28 key data points.
A total of 12,473,608 unique emails were sent, and open rates were over 100% higher than the average easyJet newsletter – with 25% higher click-through rates.
Storytelling that leverages customer data enables brands to drive more meaningful connections on a personal level and increase brand loyalty.
Key considerations when creating personalized campaigns:
- Know who you’re targeting by interrogating your data – from basic demographics to online behaviors, attitudes, interests and perceptions.
- Build real-life, data-driven personas of your target groups, and personalize your communications for each of them
- Use dynamic content to personalize the customer experience based on interests and browsing behaviors.
- Find out what social platforms your audience prefers, when they’re likely to be online and what sort of content they like to engage with.
- Take device ownership and usage into consideration to know what, how and where to optimize.