Introducing PicStats.com: An Instagram Analytics Tool

A free tool to analyze any instagram account

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Most modern marketers know that Instagram can be a powerful marketing channel if you know how to use it. Unfortunately it’s lacking a bit in the analytics department.

So I made PicStats, a free tool that allows you to analyze any Instagram account, yours, your friends’ or even your competitors’ accounts. You can get data like the best times and days to post and the best tags and filters to use.

To use PicStats, simply login with your Instagram account and it’ll start off by showing you the report for your account. Then you can enter the username for any other (non-private) account and see that report as well.

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Saying Goodbye to HubSpot

After 6 years it is time for something new

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I joined HubSpot on February first of 2009. In the six years since then we set the Guinness World Record for world’s largest webinar and we went public. I got married, wrote and published four books and moved to Las Vegas. I built and we released a bunch of awesome little social media tools and I represented HubSpot by speaking at countless conferences.

The smallish company I joined back in 2009 has turned into a pretty big one, with offices on three continents. It was always our goal to be a big, successful public company. And I’m proud of the work I did that helped reach that goal.

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An Introduction to: Memes and Memetics for Marketers

Understanding the Science of Memes

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If I say the word “meme” around a group of web savvy people, the first thing that will come to most minds is an image macro–a photograph overlayed with funny text. A sort of meta inside joke that gets passed around the internet. Things like Good Guy Greg, Success Baby or Grumpy Cat. And while it’s true those are examples of what the word “meme” really means, they’re a very small subset of the greater definition.

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[Infographic] The Science of Instagram

Using the Instagram Analytics Tool PicStats

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If you want to see data like this about your account specifically, check out the Instagram analytics tool I released: PicStats.com

When I’m speaking at a conference, one of the most common questions I’m asked is what do I think the future of social media is. I’m not great at distant future predicting, but I do believe the story of the present and near-future of social media is visual content. From the impact of images and video on Facebook and Twitter to the new crop of media-centric social platforms like Instagram and Pinterest, it’s clear that inbound marketers need to be turning out great visual content.

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[New Data] The Performance of Facebook Post Types Over 3.5 Years

An analysis of the performance (in terms of likes) of the four most common post types

Using a database of 11.4 million posts published by just over 24,000 of the most liked Facebook pages, dating back to 2010 and earlier, I was able to analyse the performance (in terms of likes) of the four most common post types: Photo, Video, Link, and Status (text only posts) over three and a half years.

My earlier research showing that Photo posts typically receive the most likes was confirmed by this newer, larger study, but I also found a few other interesting trends. Simple text-based posts have been on a decline since early 2012 and the Video type has begun to gain effectiveness since late 2013.

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[Infographic] The Science of Selfies

What leads to more (or fewer) Instagram likes

Selfies are pretty cool, everybody’s posting them. Merriam-Webster just added the word Selfie to the dictionary. The most retweeted tweet ever posted was a selfie from the Oscars.

If you’ve heard the latest novelty dance music hit #SELFIE you’ll recall that the song’s protagonist ponders aloud which filter she should use, X-Pro II or Valencia. After hearing it for the millionth time, it struck me that there is a data-backed answer to that question.

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[New Data] Tweets Between 100 and 115 Characters are More Likely to be ReTweeted

Tweet-length, in characters and it's relationship to ReTweets

More new ReTweet data! In the past few weeks, I’ve looked at quotes and hashtags and images.

This time I decided to look at Tweet-length, in characters and it’s relationship to ReTweets. The data set is up to 1.4 million randomly selected Tweets, from 1.2 million different accounts.

I found that Tweets between 100 and 115 characters were 34% more likely to be ReTweeted than Tweets outside of that range, with a 99.9% confidence interval. A big drop off in ReTweet probability occurs once Tweets get beyond about 120 characters, but up to that point, the longer the Tweet, the better.

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[New Data] Use “Quotes” and #Hashtags to Get More ReTweets

A look at non-alphanumerical characters and their relationship to ReTweets

Continuing my new research into ReTweeting behavior, I also looked at non-alphanumerical characters and their relationship to new-school, native, ReTweets.

Using a dataset now more than 1.2 million Tweets strong, I found two particularly impactful characters, which when present in Tweets tend to correlate with those Tweets being more likely to be ReTweeted: quotes and hashtags.

Tweets that contain one or more hashtags were 55% more likely to be ReTweeted than Tweets that did not. Thanks to the large dataset, there is a 99.9% confidence interval that Tweets with hashtags get more ReTweets than those without.

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Use Images on Twitter to Get More ReTweets

A comparison of the 4 of the most popular ways to send images to Twitter

I collected a dataset of more than 400,000 randomly selected Tweets and the number of times each tweet received a “new school” (native) ReTweet. I then compared 4 of the most popular ways to send images to Twitter: Facebook image links (images hosted on Facebook’s CDN, fbcdn-sphotos-h-a.akamaihd.net), Instagram, Twitpic and Twitter’s own, native image uploading service (shown in Tweets as pic.Twitter.com).

Tweets with images uploaded to pic.Twitter.com were nearly twice as likely to be retweeted while the use of Twitpic increased the odds by just over 60%. On the other hand Tweets that used Facebook or Instagram links were less likely to be retweeted. In all four of cases, I found a 99% confidence interval assuring us of the reliability of these results.

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Analyze Your Twitter Account with ReTweetLab for More ReTweets

One of my favorite topics to research is ReTweeting. I have several very large (millions and hundreds of millions of rows) datasets that I use to do my analysis. The results of my research with these databases are best practices, generated across many industries, timezones, account types and languages. This data is a great starting point for your experimentation.

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