What: A more sophisticated version of Ctrl+F, Snap Bird is a Twitter search engine for your feed.
Where: Exclusively for Twitter–but it turns your feed into your personal search engine.
When: To instantly find that great tweet you sent a few months ago, without sifting through tons of content.
Why: For the analytics guru looking to find the qualitative data behind tweets, retweets, mentions, and favorites–this tool lets you pull up your biggest hits on Twitter.
1. Dig Up Old Content Fast
Scenario: you’re working on a presentation analyzing the merits of your team’s Twitter account and you want to point to a particularly successful tweet. Problem: You sent the tweet two months ago–that’s several decades on the Twitter clock. To find your tweet manually, you’d have to scroll through months of tweets, skimming each until you find the one you’re looking for in the heap. Snap Bird rapidly streamlines that process. You can search anyone’s feed, favorite tweets, and tweets mentioning you.
2. Track Where You Fit in the Twittersphere
You can also search tweets in which you are mentioned on Snap Bird. Set the app to search for your mentions, then search any word or phrase you’d like. What are people saying about you and your brand when they tweet at you? Is the language they’re using aligned with your station’s digital strategy and goals? Searching for words you would want associated with your mission–as well as words that you wouldn’t want–will illuminate more about your ripples in the Twittersphere than you might think.
3. Keep Up With Partners (and Competition)
Are you cross-promoting a product with partners, and want to see the messaging they’re using? Pull up their Twitter handle on Snap Bird. From there, you can search buzzwords and hashtags from your campaign to find language that you want to incorporate into your own messaging. Or, in the case of competition, you can analyze how they promote their products to learn more about what language works, what doesn’t, and how you can best equip yourself for your next tweet.
By Christopher Bakes, SPI Intern