Ask for your Demo!
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
Using
Segmented marketing campaings
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
Client Onboarding
Model Scoring and Segmentation
Web Based Visualizations
Decorated Marketing File
Client Datamart
Audience Activation
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
Ready?
Ready?