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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