Increase repeat purchases — faster.
The problem:
Most shoppers only buy once from a brand. As paid media costs climb and site traffic trends fluctuate, marketers need to prioritize the customers they have to predict which products they might buy next — and when and where to recommend them.
This is a constant headache for marketers. Here’s what it looks like:
Start planning your cross-functional meetings.
Venture a guess around products and offers.
How many campaigns is too many?
Get your segments in order.
Tap creative to build templates … again.
Start planning your cross-functional meetings.
Venture a guess around products and offers.
How many campaigns is too many?
Get your segments in order.
Tap creative to build templates … again.
You’re left with:
~ 80% of shoppers only buying one time
slow payback on acquisition costs
low margins from heavy discounting
Bluecore makes it easy to keep your shoppers coming back.
Leverage billions of data points across hundreds of brands.
Bluecore’s retail data model processes 500M products and attributes, 5B shopper identities, and 300B behaviors — all of which change and grow as powerful predictive models analyze data for best results.
With the most expansive dataset and accurate predictive models, drive your most important retail objectives, from retention and product discovery to churn prevention and margin preservation.
Never miss a revenue opportunity with built-in predictive models.
With an audience builder that enables you to use built-in predictive models in a few clicks, you can apply Bluecore’s extensive retail data and predictive models to any campaign — in seconds.
Determine the best shoppers to contact, the best content, offers, and recommendations to send each one, and the best time to reach them on the best channel for them — to quickly drive revenue.
Extend intelligence in an open and integrated platform.
Use Bluecore’s built-in models and predictive audiences in your other systems — plus bring your own models into Bluecore’s platform — for a two-way street of seamless integration.
Extend models and predictive audiences into your existing CDP, data warehouse, data lake, or into other channels — and never be limited by black-box “intelligence.”
The Bluecore result:
23% ↑ repeat buyers
3x ↑ ecommerce revenue
21% ↑ AOV
Retailers that are bringing this to life.
Steve Madden wanted to go from love at first fit to lasting relationship with their shoppers. They quickly create and launch campaigns with Bluecore’s category affinity models to predict each shoppers’ next best find to increase conversion and repeat buyer rate.
Result:
22% ↑ repeat buyers
18% ↑ known, active buyers
Lulu and Georgia wanted to accelerate and deepen shopper loyalty. They decided to go beyond the basics by automating merchandise-driven triggers and leveraging Bluecore’s built-in predictive model to increase first time buyers and repeat purchases.
Result:
229% ↑ repeat purchases
133% ↑ first time buyers
CITY Furniture drove repeat purchases and brought inactive shoppers back into the fold by creating targeted audiences and by leveraging the category and discount affinity models built directly into their campaign workflows — to intelligently match each shopper to their perfect next home product.
Result:
118% ↑ repeat buyers
30% ↑ active buyers
Start driving repeat purchases — fast.
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