One thing most marketers and business-owners want to know is how their marketing is doing over time. Most of us have a pretty good idea of how many Facebook likes we have today, but forget how many we had last month or the month before.
Here’s where Markitty takes your data from Facebook Insights and gives it to you in a more useful form: apart from showing you your total page likes every day for the last three weeks, we also show your likes per month for the last three months. So you can see your fan base growing over time.
Have you got your Twitter Analytics yet? I’m pleased we finally get some stats on Twitter (but you still need to create an ad account, even if you don’t run the ads). But it seems like too little way too late, especially with all the tools that provide Twitter stats already.
If you have already created a Twitter ads account, go to analytics.twitter.com. Click on Analytics on the top menu.
You get three pages: Timeline activity, Followers, and Websites.
Likes and retweets are all very well, but what you really want is conversions: someone signing up to your newsletter, filling up your lead form, or buying your product. This week, let’s work on improving conversions.
Neil Patel offers copywriting tips that will increase your conversions. The first few are great copywriting tips for any piece of writing: focus on benefits (i.e., the reader, not you), format your text, use images, and so on. But there are some less obvious tips in there too.
Markitty’s Links You Shared table answers the question: which of the links you’re sharing on social media are getting you the best results?
As I wrote earlier, the table shows the performance of links you’ve shared on Facebook and Twitter. It includes the number of posts (in which you’ve shared that one link), impressions, likes, and stories for Facebook, and tweets, retweets, and favorites for Twitter.
Now we have expanded the Links You Shared table to include referrals from social media, Twitter, and Facebook. So if you shared a blog post link on Facebook or Twitter, you can not only see Facebook and Twitter stats for that link, you also get website referrals (from Facebook, Twitter, and all social media).
Facebook recently overhauled its Page Insights: i.e., the stats page owners get for their page. Let’s take a look at what’s great and what’s not.
Facebook’s clearly made an effort to cater to its business users (or page owners) with the new Insights. Instead of being the difficult-to-understand, difficult-to-navigate mess the old Insights was, the new Insights (and the nice tour of it) talk directly to the user and actually offer insights.
Your Website Performance table on Markitty is a quick snapshot of your website over the current month and the previous three months. It gives you a quick look at how your website data is trending, answering questions such as:
Are visits increasing but unique visitors decreasing? (Do you need to reach out to more new visitors? Are your visitors becoming more loyal?)
Are visits decreasing but page views going up? (Are your visitors more engaged with your website?)
Is average visit duration increasing over time? (It should!)
In our interview series, we asked marketers and entrepreneurs we admire about their marketing practices. One question I asked most people was about metrics: what metrics do they measure or think are most important for small businesses should measure?
If your website is also your product (content sites like Ask A Manager and YourStory, product startups like AppSurfer, e-commerce sites), website metrics are of paramount importance.
The Audience Overview report is what shows up first when you open Google Analytics. So you can scroll down and click to view the detailed report of language and locations of your visitors, or you can click on the left sidebar on Audience > Demographics > Language (or Location).
We have been talking a lot about Google Analytics lately. Do you know of the new Google Analytics reports that show trackbacks and links from social media more explicitly? You should, so read this week’s links for details.
But first, how do you get to these reports? On your Google Analytics sidebar on the left, go to Traffic Sources, and then Social. You’ll see the links for Data Hub Activity and Trackbacks.
Here’s a screenshot of our Trackbacks report. It shows us who linked to our site recently.
If you have a website for your business, you must track visitors to your website and what they are doing. There are a number of tools available for tracking this, and the most popular and one of the most useful is Google Analytics. (Here’s how to set up Google Analytics if you haven’t yet.)
In these two posts, I’ll explain some important metrics you should be looking at in your Google Analytics data (or any other website tracking tool you are using).
The first thing to do, after you have logged into your Google Analytics account and selected the website you want to view data for, is to adjust the date range to your liking. The date range you select at the top applies to all the graphs and tables inside Google Analytics. I usually set it to current month or current week. You can change this any time you want, so feel free to try out different options. Click on compare to get all data for the previous period as well.
Now let’s get started.
Visits: Total Visits, Unique Visitors, Page Views, Pages per Visit, Time per Visit, Bounce Rate
Markitty is an online software tool that recommends actions to improve your online marketing. Markitty pulls together stats from your Facebook Page, Twitter profile, and Google Analytics account, and gives you recommendations based on your recent activities and results.
You should get Markitty if:
You are a small business (restaurant or retail store or business services or florist or anything, really), and
You have a Facebook Page, Twitter account, website with Google Analytics (at least one of these) for your business, and
We chatted with three of the Co-founders: Aniket Awati (CEO or Happy Co-Founder), Ratnadeep Deshmane (Geeky Co-Founder), and Amit Yadav (Business Co-Founder). Check out the videos below. (The audio isn’t good, I’m afraid, but I’ve added annotations that should help.)
Do you know how many people are visiting your site and where they are coming from? Do you know how much time they are spending on your site and what content they are looking at?
It’s easy to get answers to these questions, and as a business-owner you are missing out on very valuable information if you aren’t looking at this regularly. Google Analytics is a free (and most widely-used) tool that you can use to track visitor and usage information for your website or mobile application.
Twitter offers users no stats at all, unlike most other social media sites. You can look at your followers and your total number of tweets from your home page (timeline), and click on the @ Connect button for recent retweets and mentions. But that’s it: you can’t see whether your follower count has increased from last week or last month (unless you’re using a separate method of keeping track); you have to count to see how many tweets you posted yesterday.
Markitty’s Tweet Performance and Profile Performance graphs give you a quick glance at all of these for the last three weeks. The Tweet Performance graph compares your tweets each day with retweets you got and mentions of you by others.
Why compare tweets with retweets and mentions? Because common sense suggests that the more you tweet the more your mentions and retweets should increase (though not necessarily in the same day). If this isn’t happening, maybe you should look at the quality or relevance of your tweets.
With this table, we give you your top posts for the current month ordered by highest number of impressions (reach, in Facebook terms). So at a glance, you can see which of your posts this month were seen by the most people. You can click on the blue Previous Month button on the top right and see the same data for the last month as well.
We talked about how to interpret online marketing results and make better business decisions by understanding the impact of various marketing activities on your data. Looking at a single metric like site visits or Facebook likes could lead you to make wrong inferences, which we demonstrated with a small case study.
Here is the presentation from the workshop for those who could not attend.