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Take a look at some

            of our Case Studies

Take a look at 

some of our Case Studies!

Shouldn’t you be

                marketing differently?

Shouldn’t you be

marketing differently?

Lifetime value of your best customers

The lifetime value of your best customers is often as much as 10x that of your worst – so why do you treat them all the same way?

Using

Using “in market” models will help you identify customers that are up to 300% more likely to buy than your average customer.

Segmented marketing campaings

Segmented marketing campaigns based on customer behaviors generate an average 18% more revenue than "batch and blast” marketing campaigns.

Our results

            do the talking

do the talking

%

Increase in email
open rates!

Better results using
segmented emails

%

Increase in
campaign revenue!

Improve marketing performance using smart, yet simple data driven segmentation

%

Increase in annual
customer value!

Relevancy in marketing
messages drives retention
and customer lifetime value

Our results

            do the talking

do the talking

%

Increase in email
open rates!

Better results using
segmented emails

%

Increase in
campaign revenue!

Improve marketing performance using smart, yet simple data driven segmentation

%

Increase in annual
customer value!

Relevancy in marketing
messages drives retention
and customer lifetime value

Included Platform Features

 

Included Platform Features

 

Your brains
+ our brains?
Look out Bezos…






A sample of what our

Data Science Platform

             can do for you?

A sample of what our

Data Science Models

can do for you?

Best Customers

Value Segments

Groups customers into “like” segments based on their revenue contribution and order frequency over the past 12 months or over customer lifetimes.

In Market

to Buy

Groups customers into “like” segments based on their liklihood to make an order the next 30 days
This is a  predictive  model that uses historical purchase activity to predict future activity with regards to “in market to buy” timing at the customer level.

Best Customers

Value Segments

Groups customers into “like” segments based on their revenue contribution and order frequency over the past 12 months or over customer lifetimes.

In Market

to Buy

Groups customers into “like” segments based on their liklihood to make an order the next 30 days
This is a  predictive  model that uses historical purchase activity to predict future activity with regards to “in market to buy” timing at the customer level.

MSLO

Recency Segments

This visualization shows a distribution of your customers by how long it has been since their last order.

Historical

Buy Event

Reveals which customers have personal buy ocassions in each month.

Our models and experience show that these personal buy events are often repeated year over year and warrant their own strategy.

Order Frequency

Segments

This visualization shows a distribution of your customers based on how many orders they have historically.

MSLO

Recency Segments

This visualization shows a distribution of your customers by how long it has been since their last order.

Historical

Buy Event

Reveals which customers have personal buy ocassions in each month.

Our models and experience show that these personal buy events are often repeated year over year and warrant their own strategy.

Order Frequency

Segments

This visualization shows a distribution of your customers based on how many orders they have historically.

Customer Frequency Segment X Customer Recency Segment

This is our Flagship 9 box which groups your customers into micro segments based on how frequently the customer orders and how long it has been since their last order. This enables you to talk to customers not only in terms of loyalty but also whether or not they are a current, lapsing or lapsed customer. This level of personal relevancy is powerful and usually generates strong results at the segment level.

Customer Value Segment X Customer Recency Segment

A bit more advance 9 box because we use the actual customer revenue over the past 12 months to group the horizontal axis into Value Segments from Low to High. This enables communications to talk more about value and loyalty when engaging with your customers.

Customer Value Segments X In Maket to Buy Model

Our most advance 9 Box leverages advanced analytics to predict if a customer is likely to be In Market to Buy within the next 30 days. This 9 Box enablesyou to pull back on marketing message frequency or aggressiveness by respecting the fact that all customers are not always  looking to buy.  Consider letting the “low” in market to buy segments to receive very few (if any) messages over the next 30 days. This model is usually for more advanced marketing strategies that look at a customer’s individual buying cycle.

9 Boxes (Combine your models)

Customer Frequency Segment X Customer Recency Segment

This is our Flagship 9 box which groups your customers into micro segments based on how frequently the customer orders and how long it has been since their last order. This enables you to talk to customers not only in terms of loyalty but also whether or not they are a current, lapsing or lapsed customer. This level of personal relevancy is powerful and usually generates strong results at the segment level.

Customer Value Segment X Customer Recency Segment

A bit more advance 9 box because we use the actual customer revenue over the past 12 months to group the horizontal axis into Value Segments from Low to High. This enables communications to talk more about value and loyalty when engaging with your customers.

Customer Value Segments X In Maket to Buy Model

Our most advance 9 Box leverages advanced analytics to predict if a customer is likely to be In Market to Buy within the next 30 days. This 9 Box enablesyou to pull back on marketing message frequency or aggressiveness by respecting the fact that all customers are not always  looking to buy.  Consider letting the “low” in market to buy segments to receive very few (if any) messages over the next 30 days. This model is usually for more advanced marketing strategies that look at a customer’s individual buying cycle.

Platforms

Use OUR analytic expertise as YOUR competitive advantage







Use OUR analytic expertise as YOUR competitive advantage