<img height="1" width="1" style="display:none;" alt="" src="https://analytics.twitter.com/i/adsct?txn_id=nups8&amp;p_id=Twitter&amp;tw_sale_amount=0&amp;tw_order_quantity=0"> <img height="1" width="1" style="display:none;" alt="" src="//t.co/i/adsct?txn_id=nups8&amp;p_id=Twitter&amp;tw_sale_amount=0&amp;tw_order_quantity=0">

Customer Retention. Automated

Facebook's Tumultuous Start to 2018 & the Changes Impacting Facebook Advertisers

Posted by Polly Flinch on Apr 16, 2018 9:24:40 AM

The first few months of 2018 haven’t been kind to Facebook. With all of the drama surrounding the platform, there has been a lot of speculation about how advertisers will be impacted. While there’s plenty that still needs to be hashed out, here’s what we know so far: for advertisers who are using first party data (Windsor Circle clients, that’s you) you’re in the clear; however, if you use 3rd party data brokers or share custom audiences between business accounts, you may need to take a look at your advertising strategy. We’ve outlined the changes impacting Facebook advertisers below (note: we will update this as we learn more). [updated April 19]

Read More >>

Related: Social Media

Attribution Modeling: Last Touch, Multi-Touch & Revenue Lift

Posted by Polly Flinch on Apr 9, 2018 10:59:51 AM

One of the biggest barriers to marketing success is being able to quantify the value of your marketing campaigns. At the end of the day, marketers are accountable to ROI and ensuring that the tech stack they have in place is procuring the right numbers and keeping the C-Suite happy. This article will look at 3 attribution models - Last Touch Attribution, Multi-Touch Attribution, Randomized Control Trials (Revenue Lift) - and their strengths and weaknesses.

Read More >>

Related: Best Practices, Data Science

Customer Centric Marketing

Posted by Polly Flinch on Mar 29, 2018 2:32:57 PM

Customer Centricity - you’ve been hearing this phrase for a long time, but what does it actually mean? How does one go about creating a customer centric marketing strategy? Let’s start with a simple definition:

Read More >>

Related: Best Practices

A Look Back at 2017 - In Numbers

Posted by Polly Flinch on Jan 8, 2018 10:21:13 AM

As we race forward into the new year, we took a moment to reflect on 2017. Here's a look back at an incredible year in numbers:

Read More >>

Related: Customer Retention, Our Culture

PCV Model Performance Metrics

Posted by Bryan Shepherd on Dec 5, 2017 5:01:00 PM

Overview

In Q4 of 2016 Windsor Circle released a Predicted Customer Value (PCV) module based on the "Buy Til You Die" approach. At the time, the model was vetted on a subset of historical data. Now that it has been in the field for close to a year, we have an opportunity to use current data to evaluate its real-world effectiveness. To do so, we use predictions generated using data through January 1, 2017 and evaluate how well those predictions held up over the next 6 months, through July 1, 2017.

Read More >>

Related: Data Science