SpringML

Ad Analytics using Google Cloud Dataflow and Salesforce Wave

Understanding the impact of advertising spend and knowing how various parts of an ad campaign contribute to sales is key to measuring impact on overall advertisement strategy.   Traditional solutions that provide such analytics includes an ETL tool to transform and transfer data from one system to another, a data warehousing system that can store large amounts …

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Cloud Dataflow Developer Experience

We got the opportunity to collaborate with Google Cloud Platform this year soon after the relationship between Salesforce and Google Cloud Platform was announced.  We worked with both Google Cloud Platform and Salesforce product managers to outline a use case that involved Salesforce CRM, Wave and Google Cloud Dataflow.  Here’s a more detailed description of the …

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Cloud Dataflow Developer Experience

Lead Scoring with With CRM, Marketing, Finance and Social Data

We present a comprehensive lead scoring system that will help take guess work out and help your sales machinery focus on the right leads.   What makes this a comprehensive system is the fact that it takes into account thousands of data points across the following systems. CRM – Salesforce Marketing Automation – Marketo, Pardot Social – …

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Lead Scoring

Customer segmentation – combining RFM and predictive algorithms

The Recency-Frequency-Monetary value segmentation has been around for a while now and provides a pretty simple but effective way to segment customers.  An RFM model can be used in conjunction with certain predictive models to gain even further insight into customer behavior.  In this post we’ll discuss three predictive models – K-means clustering, Logistic Regression and …

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Customer segmentation

AzureML model for customer segmentation

As mentioned previously, we are approaching the customer segmentation problem holistically with a view to provide an end to end solution.  This end to end solution comprises of three components. Data preparation and enrichment. Any complex enterprise landscape comprises of multiple systems, each performing a specific function.  There could in fact be more than one system performing the …

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AzureML model

Customer segmentation – RFM technique on big data using Google Cloud Dataflow

We are quickly becoming big fans of Google Cloud Dataflow.  See our previous posts on this topic here and here.  We are excited to continue using this product and creating analytics solutions for our customers.  In this post we are going to describe how RFM technique can be applied on large data sets – think 100’s …

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Google Cloud Dataflow

Customer segmentation

Consumers, customers, clients or users.  Call them what you will, but businesses exist and grow only when they can serve them well and attract more of them.  While there are several business strategies that one employs, one key methodology is to group or segment similar customers based on past purchasing behavior and geodemographic information.  This helps …

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Customer segmentation