If you’re in charge of planning a big Twitter campaign, you want to arm yourself with as much information as possible. Our premium historical analytics can help you see where holes have been in past campaigns, what worked, what you might want to test out this time around, and a lot more. From planning out a campaign to filling in your knowledge when something unexpected happens, our historical analytics have you covered.
What exactly are historical analytics?
With the ability to reach all the way back to the first public tweet posted in March 2006 – we have access to the full archive of historical Twitter data from Gnip – we can search anything and everything you can think of. This goes beyond the scope of basic Twitter search and anything that can be pulled with Twitter’s public API; the information you can get from those sources is limited to about a week back. But the historical archive includes the full archive from Twitter itself, and you cannot get that just anywhere.
The possibilities for using our historical analytics are as varied as the content on Twitter itself, and if you’ve ever used our Pro Trackers the analysis is similar: you get reach, exposure, volume, tweet and contributor metrics. Better still, it’s delivered in the same format as our Trackers, so you don’t have to learn to navigate something new (unless you’re entirely new to TweetReach, in which case welcome, and we’re here to help you!).
What can I use historical analytics for?
Here are just a few ideas of what you can use our historical analytics for:
Research: Know how the public reacted to a particular event as it unfolded. See how a news story evolved; pinpoint who broke it, who influenced it at different points, and when other major players joined in, or didn’t. This applies to business as well as news research: look at those same things, but with a campaign instead of a news story. Gauge public reception to a certain business sector, or a new business specifically. Don’t take the word of articles telling you how the public is reacting- see it for yourself, in their own words.
Fill in the gaps: Did you sign up for a Pro suscription after you launched a campaign, and missed some data? Now you can fill it in.
Competitor analysis: See how your competitor’s past campaigns stack up to yours. Measure your share of voice (we’ve got a detailed four steps to doing just that here) and plan for how to improve it. Are you leading the conversation, or is your competitor? Is nobody leading the conversation, and you have a chance to step in and do so? Have the information to definitively show your boss where you stand, and how you plan to improve that standing. Take the guesswork out of it.
Year-by-year comparison: If you joined your company recently, historical analytics are a great way to see what results past campaigns have brought in. It can also help you fill in past metrics if you’ve just gotten a budget for analytics. Historical analytics give you an ideal way to measure benchmarks: the only way you can truly understand the performance of present and future campaigns is by knowing where you have been. This way you can establish KPIs for your social program.
Industry standards: Historical can be used for competitor analysis- compare campaigns from several different players in an industry, to see how each one’s strategy stands up- and for competitor research– an extension of the earlier research point, and related to share of voice. Use the information you get from historical analytics to pitch potential clients, showing them that you have consistently run campaigns that will increase their share of voice, and that you’ve outperformed other, similar campaigns run by competitors. This can also give them a reason to hire you, if they haven’t taken on an agency before. Prove to them that they can do better with you than without you.
Crisis communications: Sometimes things happen that are impossible to plan for, and therefore you weren’t already tracking them. Historical gives you the opportunity to go back to fully understand the conversation as it unfolded and act accordingly. It’s great to know that, even if something unexpected happens, we can still access the data to make the best decisions about how to move forward in a crisis.
Got something you want to use historical analytics for? Great! There’s more here about the specifics of how it works and you can also request a quote. Historical analytics start at $49. Pricing is based on report duration and tweet volume.
Image courtesy NYPL Digital Gallery