The Social Data You’re Getting May Only be a Fraction of the Story

The Social Data You’re Getting May Only be a Fraction of the Story

Introduction

I’m often asked why I go to so much trouble to create my Twitter datasets using sampling techniques rather than the more common Twitter Stream API[1] . For those who don’t know, the Twitter Stream API is the standard way that most analysts get their Twitter data. It taps into the Twitter Firehose (a live stream of all current tweets on Twitter) and filters it based on keywords, user accounts and location. Using Twitter streams, analysts can get very targeted tweets in real time.

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Footnotes    (↵ returns to text)

  1. https://dev.twitter.com/docs/api/streaming
Burger Chains Can’t Beat Coffee Shop Success in Unique Branding

Burger Chains Can’t Beat Coffee Shop Success in Unique Branding

Who’s Loving Who?

In my previous two posts[1][2], I looked at the impact of different strategies based on geography and type of marketing in the Quick Serve Restaurant (QSR) space. Three of the largest chains in Canada (Starbucks, McDonalds, and Tim Hortons) were using very different strategies. In those posts, I focused exclusively on their differences in technique.

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McDonald’s Finds a Little Free Coffee Goes a Long Way

McDonald’s Finds a Little Free Coffee Goes a Long Way

Introduction

In my last post[1], I explored the different geographic strategies Tim Hortons, Starbucks and McDonalds use in Canada. These strategies led to clear geographic segmentations. Based on the data, I identified provinces with the potential for preference change in the coming months. It was these provinces that QSR competitors should focus on.

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