Meet the brands getting creative with their data
SPOKE uses referral data to target lookalike audiences on Facebook
You might not expect the same approach to work for both a maternity fashion brand and menswear trouser retailer, but Seraphine and SPOKE prove otherwise.
After discovering their most valuable customers were those referring others, Seraphine and SPOKE started targeting referrer lookalike audiences on Facebook – significantly driving up conversions and decreasing acquisition costs as a result.
Referrer lookalike audiences are cheaper to run, the conversion rates are higher and we're driving more purchases. It makes everything more efficient: it’s the ideal situation to be in."
Want to learn more about using referral data on paid social?
Read the SPOKE case study.
When lockdown restrictions began easing, luggage brand Samsonite executed win-back campaigns to target previous customers ready to travel again.
By personalising campaigns through predictive search, the brand provided specific recommendations that caught the attention – and spend – of its jetsetting demographic.
This apparel brand is putting personalisation and data right at the heart of its marketing strategy. In return for sharing details such as their age, budget and email, customers at Thread get ultra-personalised style recommendations.
When a customer updates their preferences, Thread refines its suggestions to deliver outfits they're guaranteed to love. A better experience for customers and more insights for Thread – that's what we call a win-win.
Customer data has always played a major role in Wild’s marketing strategy. But it wasn’t until the deodorant brand injected its first-party referral data into its CRM platform that it opened up a world of new possibilities.
Now, Wild encourages referrals through email and sends out reminders when a customer has an offer to use, maximising share rates and conversions.
Read on to discover the trends set to shape the future of customer data.
