Google AdWords Keyword Planner Just Launched

Yesterday Google officially launched its new tool, AdWords Keyword Planner, to help create better AdWords campaigns. Keyword Planner will replace our favorite Google Keyword Tool and AdWords Traffic Estimator.

You should learn to use this tool even if you never used Keyword Tool or Traffic Estimator and do not plan to use Google ads. Understanding search terms is important because that tells you what words your potential customers use to describe yours and similar businesses so that you can tweak your marketing and sales content accordingly.

Adwords Keyword Planner

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Tracking Website Metrics on Google Analytics, Part 2: Sources, Referrals, Search Terms, and Campaigns

Last week, we looked at basic site traffic and engagement metrics on Google Analytics, such as visits, page views, time on site, bounce rate, etc. We also looked at how to look at the performance of individual pages on your site.

This week, let’s take a look at a few other metrics that you should be looking at regularly. (Haven’t set up Google Analytics yet? Here’s how.)

Sources

From where are people coming to your site? The Sources report answers this question. Click on Traffic Sources on the sidebar to see your options.

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Weekly Reading: Trackbacks and Data Hub Activity on Google Analytics

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.

Google Analytics Trackbacks for Markitty

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Tracking Website Metrics on Google Analytics, Part 1: Visits, Page Views, Time, Bounce Rate, Pages

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.

Set Date Range in Google Analytics

Now let’s get started.

Visits: Total Visits, Unique Visitors, Page Views, Pages per Visit, Time per Visit, Bounce Rate Continue reading

Using Markitty: How to Sign up and Connect Your Accounts

We created this short video that shows you how to sign up for Markitty and connect your Facebook page, Twitter account, and Google Analytics account. (You need to be the Manager of your Facebook page and the Administrator of your Google Analytics account to connect them to Markitty.)

As you can see, you can sign up, connect your accounts, and start getting your recommendations from Markitty in three minutes flat!

 

How to Set up Google Analytics for Your Website

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.

Track Website Traffic Using Google Analytics

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Presentation: Interpreting Marketing Data

On April 20th, we conducted the third and the last session of our marketing workshop for start-ups and small businesses in Pune.

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.

If you didn’t attend the workshop and have questions, ask us!

Marketing Reading for the Weekend: Social Media Metrics You Can’t Ignore

Is it only a week since I last did this? It’s been Technology Breakdown Week here at Markitty, with laptops, ACs (okay, one AC), and power all refusing to cooperate. But we survived!

This post is a great quick look at five social media metrics and how you can monitor them.

On the Buffer blog, read about five essential social media metrics and how you can improve them.

Jay Baer claims that social referrals to your website is the most overrated social media metric. Most overrated is probably hyperbole (I think that distinction belongs to the number of Likes on your Facebook Page), but as we said on Twitter:

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Using Markitty: Compare Website Visits, Referrals, and Social Referrals

I’m going to show you some useful Markitty graphs, stats, and features, and explain why we put them in and how you can use them. For the very first in this series, I’ve picked this graph displaying data from Google Analytics.

Markitty graph screenshot: website visits, referrals, and social referrals

As the graph title says, this line graph shows you the total visits to your website, the number of visits that were referred by other sites, and the number of visits referred by social sites. You get all of these for the last three weeks (if you signed up with Markitty over three weeks ago).

Why did we put this graph together?

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