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How to Search, Find, and Contact Twitter Users (Tweeple) By Their Bio and Location

It's an easter-egg hidden feature

In the good ol' days before Twitter started locking down their API, you could use a program like Guy Hagen's Twitseeker and it would automatically find people based on their tweets or bio. Then, you could select up to 50 people at a time and follow them all. Following all these people would send out a Twitter generated "You have a new follower" email. But even better, Twitseeker would @message everyone automatically and say, @you followed @newperson using @twitseeker.

You'd get a 70% follow-back rate. That was astounding. Not any more.

Now, you have to be smarter. You can use a webapp like my http://untweeps.com ... after you login, you unfollow people who haven't tweeted in a while. Then, on the results page, you'll see a tiny link asking if you want to follow new people. It's an easter-egg hidden feature.

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Or you can also use Google to isolate only twitter users. Get a listing based on their bio and location. While you can't tell google to differentiate between their bio and the tweet content that appears on each twitter user's page, since Google has a really cool "proximity relevance" feature, you can just include the words, "bio," and "location," to tell Google to focus on that section of any twitter user profile - Just like I did below.

If you have any questions, feel free to contact me at http://twitter.com/sparkah

PS. If you have a blog or busy site and want to trade ads, let's do it - lemme know!

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Filed under  //   bio   data   data-mining   geolocation   google   location   mining   social-media   social-media-marketing   twitter  


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Why Geolocate Your Paypal Customers? For Retail and Seminars!

You gotta be kidding me. Is there no way to run a geolocation report of all the customers who've bought from my website?

I spent one hour waiting for paypal to generate a online report of all my sales for the last few years. It would be well worth it I thought. Afterall, with thousands of sales, I would be able to create a powerfully telling geovisualization of my customer base. Using this map of customer concentration, I could launch any or all of the following:

1. meet-ups

2. seminars

3. retail sales locations

4. shipping centers

5. branch offices...

You can see how any of the above five initiatives based on sales data of existing customers would launch me into the next phase of my business growth. I imagined color coding my geopoint from red to grey with red being the hottest latest buyer and grey being the oldest buyer from January of '08. I visualized a world wide map of the family of my customers with larger geopoints corresponding to larger orders. 

I salivated at the idea that I could launch meetups where larger volumes of sales were coming from and retail stores where higher sales tickets were being generated. 

But no. When I exported my paypal history, it came with no addresses. Do you know a way to get my buyers addresses out of paypal? Let me know @journik

Meanwhile... I took 3 hours to manually geolocate about 100 of my most recent buyers. The results were surprisingly worth my time. See what new marketing brilliance just erupted: Paypal to Google My Maps Geolocation and Visualization

Filed under  //   data   datavisualization   geolocation   marketing   paypal   visualization  


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Twitter Data Visualization: The Real Future of Twitter (that only Investors and Businessmen will like)

To know if Twitter will make you any money, You have to know when You'll get the most traffic click throughs to your blog (this thing). You need to know when the largest number of your followers are online. To find this out, since some have regular day jobs, I occasionally do an #onlinestats pole like THIS.

I generally get more RTs from my 5,000 followers than Aston Kutcher's 2 million because of THIS.

In this case, this many people RT'd THIS original tweet.

Notice how this twitter search view does you very little good as far as understanding the effectiveness of your tweet or the total reach? So, I would like to see the latent data visualized and represented as you see below.

(the "m" in seniority represents how many months the account has been active)

Once all the RT data is spidered and tossed into a simple database, a Twitter RT visualization engine can visualize the retweets in a useful way.

In business, you've got to have total transparency throughout the entire sales and marketing lifecycle

When data visualization experts create applications like the I FEEL app, it may be interesting and even anthropologically useful. But as far as business goes, investors have the money and the money needs visibility of marketing ROI. Now, Who wants to build this? I'll handle the business side if you make it happen. Tweet me @journik

To Comment or ReTweet this and look like a stud, copy RT @journik http://bit.ly/tweetviz and Tweet it on out

Filed under  //   RTviz   data   startups   twitter   visualization  


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Comments [2]