Tweet Analysis, A Mobile App That Analyses Tweets

A review of Tweet Analysis, a mobile app that analyses tweets of users and hashtags.

A review of Tweet Analysis, a mobile app that analyses tweets of users and hashtags.

“Excite” is a very small but powerful word for any social media marketer. While you’re in the social media marketing industry, your aim is to excite your consumers - followers, readers, prospects and engage them and achieve business goals.

The other day just after completing the weekly dose of SEOTalk, as a host I was wondering how to excite key contributors and get them to talk about the chat with their followers and share more information. What’s in the Twitter Chat apart from information they can carry forward and tell the world about it. And the answer I got was stats.

Numbers are always exciting - they would want to know how many tweets they sent out, who tweeted how much, who read their tweet and so on. Since it was time for my dinner, I was looking forward to a mobile app that will help me get the results on the move and that is how I bumped into Tweet Analysis. As a power Twitter user and someone who is a chat host, this is one app that I recommend to have on your phone.

What’s in the Tweet Analysis App?

As the name suggests, it is indeed a mobile app that will analyse tweets. They do it in couple of ways - by username and by hash tag. They promise to show stats like:

1. User Analysis

2. # Tag Analysis

3. Daily Tweet Analysis

4. Sentiment Analysis

5. Follower Analysis

6. Geolocation Analysis

7. Event Participant Analysis

And as I see it, they did not disappoint me. With a very pleasing interface and appropriate KISS methodology, the app developer has greatly leveraged Twitter Open API to build an amazing app for daily or event-specific needs.

Is it really a one-stop shop?

To test the app, I got it into a real spin with some factual data.

User Analysis: Choosing the first option to analyse by the user name, where I gave mine, it gave me an option to choose weekly/monthly details. Once done, I had the data up in few minutes:

The results it showed were awesome, right from my total number of tweets, to which tags were used the most to who tweeted me most and finally the sentiment analyses. That was some data that I would have loved to share with the world.

Moving to the other tab ‘Retweet’, it showed data on how much retweets a person has done and how much were received. Somewhere, I would have loved to see more details on this tab to show what time I was retweeted the most.

The last tab ‘Followers’ has data presented in an excellent way, with details only about the total number but their country, what tag they use, bio analyses.

Verdict: I particularly liked the level of detailing they had done, by virtue of having the social sharing button on each segments. But then there were couple of places where I would have loved to see some more details.

1. Retweet Tab Time, Day, Top 5: These are the functions I would have liked to see as it would help the user to see what is being retweeted, on which day and at what time. The combination is particularly helpful if users want to send out targeted tweets.

2. Followers: On the followers tab, while the top tags being used by followers are quite good, it would have been worthwhile to see what tags are being used by my top followers. It would help since the user can know what their followers are talking about and engage accordingly.

Hashtag Analysis: This feature is particularly useful while conducting a Twitter event or hosting Twitter Chats. It would be easy to impress the followers of the event, chat with great details on:

1. Top Participants

2. Top references

3. Twitter tools

4. Language

5. Sentiment Analysis

6. Results on map

For a sucker of location-based information, the last option in my opinion, was probably the most eye-catching feature. To see the participants from various locations on a map is very pleasing. While it may not have much commercial value, there’s indeed a great deal of cosmetic value to it.

Verdict: Impressive features nonetheless with some great stats to show the followers, though I would have loved some more features like:

1. Ability to specify time frame: The feature would have been particularly helpful when the organiser or host of the event would like to understand the build-up preceding or post the event/chat. The sentiment can help them understand the audience and align their event details accordingly.

2. Post Event details: After the event has been conducted, apart from the number of tweets generated and top contributors, it would have been good to see which tweet generated the maximum views or retweets and also the reach that is an aggregated number of followers of the participants. It helps the organiser to understand what resonated with the audience and re-align their future strategies.

3. Event Transcripts: An additional feature that I would have loved to see is ‘transcripts’. A simple button where all the tweets related to a particular hashtag can either be mailed or shown on a web URL would have made it my go-to app after the event. This feature can help in either creating a related post or even catching up on the tweets that could have been missed during an event.

As far as this app is concerned, considering the wealth of information it brings out, I feel that the app is kind of ‘just there’, but missed on few critical features that are needed to become the best. While the hash tag analysis only takes about last 1000 tweets to get data, sometimes for a huge event it might result into skewed results. A wishful thinking would be to see a premium version with no limit to the number of tweets that it can search. (AFAIK, Twitter  Search API doesn’t yet impose a limit on the tweet retrieval).

Talking to them, I have understood they are coming up with better features in the next update. Till then, I would still use it for my small #SEOTalk Twitter chat event because the key advantage is having the app on phone which helps me remain mobile.

Go ahead, delve into it and I’m sure you’ll have an equally good experience with ‘Tweet Analysis’.