CES 2019 Social Data Analysis + Why it Can Pay to Get Banned
By Gemma JoyceJan 14th
Published September 2nd 2014
But what can you do with all that data? That’s a whole eight years worth of Twitter history, which could be a bit daunting if you’re not sure where to start with it.
But it’s also an opportunity: looking back will help you better plan in the future, and we all know the power of hindsight!
Here are a few ideas for potential uses of Hindsight data, to get the idea juices flowing:
You might be aware that your competitors are growing or falling in share of voice over the past month, or even year. But do you know how they’ve performed historically, in comparison to you?
Do you know when they joined Twitter, how their strategy has evolved, and how their audience has responded? Better yet, how about being able to know what their big hits have been – and their big fails?
By analysing the full 8 years of Twitter history of your competitors against your own, you can not only understand how the landscape has changed – and is likely to change – but also learn from the successes and mistakes of the competition.
You can also analyse how the audience response to each brand has evolved over time to better understand their change in share of voice. Perhaps they’ve lost particularly influential fans over the years, or they’ve started to align themselves better with their audience’s interests to increase engagement.
The possibilities for discovery are extensive and powerful.
I’m a big lover of food, so the thought of being able to predict the next big food trend excites me enormously (cronuts are so last year!). But historical data analysis can help you with trend projection and prediction within any industry.
By tracking conversation surrounding a specific topic, rather than a brand, you can analyse the history of chat about a particular industry. That means you can analyse the rise and fall of past trends and better understand the lifespan of those trends and how they have developed.
You can then use this analysis to build models to help predict future trends, whether that’s to find out the next hot bakery item or a growing demand for a specific product feature.
In all likelihood, there are tweeters out there who have been using and loving particular products for years. And chances are, they’ve been tweeting about them too.
With Hindsight, you could look at the top authors for your brand over the past 8 years – and discover those diehard fans who’ve been with you from the start, those who might be losing interest who you could try to re-engage with, and emerging fans that might prove valuable.
We all know the benefits of influencer marketing, and of engaging with and rewarding your biggest fans – and with historical data, you can discover those who truly love your brand, through thick and thin.
And who wouldn’t want to know that?
Of course there are plenty more uses for Hindsight – the potential is huge and the possibilities are incredibly exciting (you should see our Insights team, they’re over the moon!).
Over the coming weeks we’ll be sharing more uses and examples of how Hindsight data can benefit your business. Do you have any great ideas for using historical Twitter data? Let us know in the comments.