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The Week in Social Analytics #103

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It’s Friday, so that means it’s time for This Week in Social Analytics and our favorite posts of the past week in the world of measurement, analytics, and social media. See a great piece we missed? Link to it in the comments, or tell us about it on Twitter or Facebook.

The 2014 Social Media Marketing Industry Report from Social Media Examiner came out this week, and while you should definitely take the time to read the whole thing if you can, there are also a lot of great pieces highlighting different aspects of the findings:

How the Older Generation is Embracing Social Media | Infographic [from Social Times; written by Christie Barakat]

“Did you know that one in five Twitter users are over the age of fifty? Or that of the 53 percent of
of Americans 65 and older who use the Internet, 77 percent of them are active on a typical day?

What’s more, the older generation has the most spending power of any age group and accounts for 80 percent of all online luxury travel spending. Baby boomers also contribute 43 percent of America’s philanthropic activity.”

Click through for the full infographic.

Three Key Elements in Building Your Brand Through Social Media [from Social Media Today; written by Andrew Hutchinson]

“It’s not enough to broadcast your message anymore, you need to be able to establish trust, your place in their day to day lives. How does your brand help and improve your consumer’s world? What ways can your business contribute? Answering these questions are the first steps towards working out how you can use social media to achieve them.”

Facts Tell, Stories Sell – How Infotainment Inspires Action in B2B Marketing [from Top Rank Online Marketing; written by Lee Odden]

Stories aren’t just for B2C; check out these examples of creativity in connecting in the B2B market from Lee Odden, as well as a full ebook from other B2B marketers.

How to Spot Good Social Media Marketing Research [from Social Media Today; written by Chris Syme]

“Dr. Freberg also has some tips for marketers on how to wade through the large volume of data labeled “study” on the internet.

Always look at the data itself, the sample and method in which the data was collected, and whether or not the results match up with the question posed for the actual research and the method being used. A lot of times, there are some methods and statistics that do not match up with the results. In some cases, there are research studies that try to “spin” the results to make these big conclusions when in reality, the data does not reflect on this.

If the study does go into detail on how the research was collected and is transparent with the methods and audience they used, that is a good sign. However, there are a lot of studies that don’t give readers any clue about sample size, audience numbers, how the data was collected, or what questions were asked. Having a solid base and understanding in traditional research methods to explore, critique, and analyze the results yourself is critical to know as a social media marketer now to determine what is good research versus promoted research.

How Instagram Became the Best Crisis PR [from New York Magazine; written by Maureen O'connor]

“Modern celebrity relies on the illusion of intimacy, and Instagram PR is the ultimate tool for pseudo-intimate fan management: It emphasizes the celebrity’s direct connection with her fans (illusion) without forcing her to reveal any facts (reality). It feels more genuine than a press release, but still allows for meticulous image control.”

How to get strangers to retweet your tweets [from Wired UK; written by Olivia Solon]

“The team found that when it sent local information tweets to individuals identified by the algorithm, 13.3 percent retweeted it, compared to just 2.8 percent of people picked at random. This was improved to 19.3 percent (a 680 percent increase) when they timed the RT request to match the periods when people had been most active in the past.”

Read the full study here.

Written by Sarah

May 23rd, 2014 at 8:46 am

How to take advantage of TweetReach historical analytics

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Unfortunately, our historical analytics don’t go back quite THIS far

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

Written by Sarah

May 28th, 2013 at 10:57 am