Turn data into revenue-generating campaigns — fast.
Built to make personalization for retailers easy — because existing marketing platforms don’t.
The sacred trio of data — shopper + behavior + product.
When shopper behavior (think: browse, search, click) meets product data (like: just added, out of stock, price drop) in one workflow, retailers can instantly communicate with shoppers at the right time, in the right place.
Bluecore’s dynamic, flexible integration capabilities quickly unlock value from your data — from in-store to loyalty to product data. Whether it’s captured by our platform or dormant in your current tech stack, Bluecore makes all your data more powerful so you can drive more revenue.
Triggers that print money now — and even more in a few minutes.
Easily configurable, always-on triggers are the gift that keeps on giving — constantly organizing shopper, behavioral, and product data into audiences you can instantly act on, in any channel.
With product triggers like price drop, new arrival, and back-in-stock, you don’t have to stop at the handful of basic triggers that other platforms offer. Optimize with a click, and drive incremental sales effortlessly, in minutes, without custom tech configurations.
Predictive models designed for retail — at your fingertips.
Bluecore’s out-of-the-box predictive models are built and trained on billions of data points across hundreds of brands. That makes them stronger, smarter, and more accurate than those of any other provider.
And what’s even better is that they’re incredibly easy to use. Point and click to use the models directly in an audience builder — and then build dynamic, always-on audiences that keep shoppers buying, prevent lapse, preserve margins, increase efficiency of spend, and more.
Built-in workflows that reduce time to campaign launch by 90%.
Pull your dynamic audiences into quick-build templates that give you both guidance and flexibility by offering built-in recommendations or letting you customize your own rules. Spin up compelling creative and curated content, offers, and recommendations for each shopper — without relying on list pulls or endless IT and creative requests.
You get more time to test and learn, and shoppers get content and product recommendations that are unique to them — when they want to see them, in whichever channel they prefer to buy.
Go from one test a quarter to multiple tests a week.
Marketers need to stay one step ahead of the changing needs of shoppers to drive incremental revenue quickly. With built-in testing, run reliable tests in a few clicks — and get full visibility into results and analytics at the customer, product, and channel levels. No translation required.
Optimize quickly, capture opportunities daily, and constantly track progress — without putting in a single ticket with analytics.
“We now run multiple tests per week across our different platforms, which allows us to quickly see what does and doesn’t work, and then scale the successful pilots. That agility helps us drive client loyalty and build revenue opportunities.”
Marissa Contreras
Former Director of Retention | Sephora
“Bluecore helps us quickly access and activate the data we already have to create more fluid experiences across channels — and the revenue gains naturally follow.”
Eric Gohs
Former SVP Digital + Customer Marketing | Lane Bryant
Strategy and services designed by born-and-bred retail marketers.
Retail is a unique industry that requires tailored solutions. Bluecore is managed by former retail marketing executives who have owned performance marketing, data, and analytics.
This puts us in a perfect position to provide industry-specific, strategic support to cater to each brand’s needs. From marketing campaign gap analyses to technical services for unique use cases, our retail experts guide brands on their best path to predictable revenue — independent of the larger environment.
Bluecore’s full suite of easy-to-use tools.
Data management
- identification
- product catalog
- in-store and point of sale
- customer data
Insights and analytics
- customer analytics
- merchandising analytics
- channel insights and reporting
- trending products
Extensibility and platform
- unlimited users
- unlimited database size
- 24/7 product support
- retail services team
- integrates with data aggregators like CDPs and data clouds (e.g. Snowflake, GCP, etc.)
Audience and campaign management
- journey management
- retail template builder
- audience builder
- campaign builder
- journey builder
- A/B testing
- recipe rule builder
- out-of-the-box behavioral and product triggers to generate product recommendations around:
- abandoned cart
- abandoned search
- abandoned browse
- price drop
- back in stock
- new arrivals
- at-risk
Retail predictive models
Audience decision engine
- lifecycle stage
- churn
- at-risk
- lapsed
- non-buyer
- active
- predicted lifetime value
- category affinity
- discount affinity
- likelihood to open
- likelihood to click
- likelihood to unsubscribe
- likelihood to convert
- timing optimization
- predicted replenishment
- automatic prioritization
Recommendation rule builder
- best category
- best products
- dynamic coupon
- co-view
- co-cart
- co-purchase
- best content
- similar products
- next best purchase
Lifecycle and shopper analytics
- lifetime value
- list health data by source
- campaign engagement data
- audience-level analytics and data
- merchandising insights
- audience insights
- hidden gems, etc.
- multichannel reporting to measure true incrementality