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The problem:

Marketers spend a lot of time waiting on data, customer segments, and creative to build one-to-one campaigns. To create more personalized experiences, faster, you need a platform that removes dependencies on data querying, list pulling, and content stitching to free you up to test and optimize.

This is easier said than done for marketers. 
Here’s what it looks like:

Start pulling together your data

Start pulling together your data.

First start creating lists of customers that bought a certain item or category of items …. So you need data on customers and their purchases. Hm, where do you find that?
Call in a favor with customer analytics

Call in a favor with customer analytics.

… Assuming, that is, that your organization has a customer analytics team to call in. Enlist their help to determine what the next best action is for each customer.
Timing

Consider that whole timing factor.

Would the customer’s next best action change over time? How much time? Days since last purchase? Also, it looks like there are new product arrivals. Could these be better actions than you modeled yesterday?
Count creative resources

Count your creative resources.

Of course, each customer has a different next action, so each customer needs different email creative. Hm, no one has that many creative resources.
Segment, segment, segment

Segment, segment, segment.

Okay. Just group the customers into segments and build an email for each one. Guess one static email will have to do the trick.
Start pulling together your data

Start pulling together your data.

First start creating lists of customers that bought a certain item or category of items …. So you need data on customers and their purchases. Hm, where do you find that?
Call in a favor with customer analytics

Call in a favor with customer analytics.

… Assuming, that is, that your organization has a customer analytics team to call in. Enlist their help to determine what the next best action is for each customer.
Timing

Consider that whole timing factor.

Would the customer’s next best action change over time? How much time? Days since last purchase? Also, it looks like there are new product arrivals. Could these be better actions than you modeled yesterday?
Count creative resources

Count your creative resources.

Of course, each customer has a different next action, so each customer needs different email creative. Hm, no one has that many creative resources.
Segment, segment, segment

Segment, segment, segment.

Okay. Just group the customers into segments and build an email for each one. Guess one static email will have to do the trick.

You’re left with:

thumbs down  2 – 4 weeks to launch a campaign
thumbs down  low engagement and click-through rates
thumbs down  high unsubscribe rates

Bluecore puts a superior shopper experience a few clicks away.

Automate any audience — with the freshest data.

With constantly updating retail data (shopper, behavioral, and product) that goes way beyond feeds, you can set campaigns to automatically respond to changing shopper preferences across channels — without weeks of planning.

Shopper about to churn? Searching for an out-of-stock item? At-the-ready audiences will read and react to those changes — without manual work.

Automate any audience

Scale one-to-one templates for each individual shopper.

Add relevant context around each and every shopper in a customizable retail template builder where you can choose from built-in recommendation rules — or create your own.

Pull creative directly from your website or content library to spin up email, mobile, and site campaigns that surface the right content, recommendations, and offers for each shopper — in minutes.

Scale one to one templates

Optimize with built-in testing.

With holdout testing built directly into the platform and full visibility into results, analytics, and statistical significance, you can run reliable tests in a few clicks — without waiting for other teams or black-box experiments.

Automatically optimize for clicks, engagement, conversion, revenue, and more. Iterate at will, stay agile, and keep learning.

Built-in testing

The Bluecore result:

thumbs up  90% ↓ time to launch a campaign
thumbs up  100% of messages personalized
thumbs up  25% ↑ revenue

Retailers that are bringing this to life.

Hammacher Schlemmer

Hammacher Schlemmer struggled to match products with the right shoppers for a better, more relevant experience. They worked with Bluecore to incorporate dynamic product recommendations in their emails and quickly create audiences based on category affinity for targeted sends.

Result:
16% ↑ YoY email revenue growth
28x ↑ email ROI

Jockey

Jockey

Jockey was accumulating expensive one-and-done buyers and wanted to capture them back. They quickly created a campaign that automatically included recommendations based on each shopper’s unique profile — like category preference — to personalize emails for 100% of their shoppers.

Result:
3x ↑ LTV
45% ↑ email revenue

Start executing 1:1 campaigns — fast.

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