Cordial Data Platform / Predictive Intelligence

Anticipate who is ready to engage, where, and with what content

With Predictive Intelligence (built with Architect), you can anticipate who’s ready to hear from your brand, identify what’s most relevant to your customers, and in what channel on a 1:1 basis. Predictive models can be as unique as your customers' behaviors—build audiences and recommend products based on each customer’s buying patterns.

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Uncover each customer’s buying habits

Cordial’s Architect empowers you to create models built to your specific customers and their unique buying habits based on your data across any time frame. Don’t get stuck with ESP vendor predictive models that are “one-size-fits-all” and built around a single type of data. They lack the transparency on how decisions are made and flexibility to adapt to your business logic.

Anticipate what your customers want, when they want it

Using Architect, you can collect and activate various digital data points you gained on your customers in one messaging platform. Create unique messaging experiences for customers based on each specific preference they have.

As more customers shift their purchases to digital, the data marketers have is spread across an increasing number of systems. Further complicating the marketer’s task, they often have to orchestrate batch and blast messages across multiple platforms.

With Architect, build predictive models that ingest complex data, analyze it, and execute on those decisions in real time to deliver 1:1 messages - without having to involve IT or outside resources.

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"Part of Cordial’s real magic is its ability to ingest complex data, analyze it, and allow us to execute on those decisions in real time. New data sets and insights are available to us immediately – without having to involve our IT department or outside resources to match and map the data for us. Cordial does it all and does so instantaneously. No other platform can claim this ability and that’s a game-changer."

Scott Perry, EVP, Digital Marketing at Jerome's Furniture

Let Predictive Intelligence answer the hard questions for you

Predictive Audiences

Engagement score

Tie all of your customer touch points to create a single ranking of how engaged they are. Easily create segments to target those most likely to purchase or those that need a win back incentive.


Product Recommendations

Category bestsellers

Use purchase data from your website and/or app to push category best sellers in a Sculpt block to include in your promotional or transactional emails and messages.

Inventory Triggers

New arrivals

Alert customers of products from categories popular in their area, that they’ve purchased in the past, or that they have a high predictive category affinity for.

Experiments

Machine learning

Leverage machine learning to automate message experiments to automatically favor better performing variants quicker, with less effort.

Predictive Audiences

Cross-channel scoring

Understand each customer’s preferred frequency and type of communication in order to send a 1:1 message at the optimal cadence.

Product Recommendations

Other people who bought

Cordial can build a map between products and display complimentary deals to the product within your customers basket.

Inventory Triggers

Low inventory / Back in stock

Notify customers who have searched, browsed, added to a cart or wish list, and those who have a high predictive affinity score that item is low in inventory or back-in-stock.


Experiments

Multivariate testing

Run multiple experiments within the same message, in conjunction or independently, to optimize subject lines, content areas, and calls-to-action automatically and at scale.

Predictive Audiences

Brand harmony

Score and segment your subscribers into engagement cohorts based on how engaged they are with your brand. This makes it easy for the marketeer to create and test lifecycle flows to move more subscribers into your highest value cohort.

Product Recommendations

Category affinity

Dynamically change content of the message based on the customer’s category affinity to show specific brands or products they’re interested in.

Inventory Triggers

Price drop

Alert customers when items they’ve searched for, added to their cart, or added to their wishlist have decreased in price.

Experiments

Predictive path

Understand the preferred channel(s) customers convert most in and send them messages in that specific channel to optimize conversion.

Using advanced data models

30-80%+

Overall lift in RPM

2x

Higher RPM across all messages

3x

Higher RPM for triggered messages

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Revolve drives revenue growth with personal, data driven marketing

How a digital-native retail brand uses real-time data and triggered messages to build a loyal customer base and dominate the fashion industry.

Read the case study