Posts in Analytics

5 Reasons To Use Facebook Analytics For Apps

July 9th, 2015 Posted by Analytics, Facebook Marketing, Mobile No Comment yet

app imageIn the digital era it is no longer about linear advertising; it is about getting the right ads, or apps in front of users at the opportune time. A study done by Google this year called “Consumers in the Micro-Moment” sites the importance of brands being visible in the moment. Society’s mobile connectivity has lead shoppers to be impulsive, making purchases 60% faster than previous years, because of online research. In fact, often users will be on their mobile devices while browsing in store in order to evaluate online reviews and competitor pricing. (more…)

5 Tips All Ecommerce Sites Should Know About Google Analytics

August 24th, 2014 Posted by Analytics No Comment yet

google e-commerce analyticsIf you are not already using Google Analytics, you should be using it because the technologies provided in Analytics allows you to gain greater insight into: where your visitors are coming from, how they are behaving on your site, your conversion funnel, your traffic, and it allows you to track all elements of your site. Below is an outline of 5 tips all ecommerce sites should know about Google Analytics to help you grow your business especially if the e-commerce business is heavily using a PPC model. (more…)

3 Easy Steps To Understand Analytics Smart Lists

July 19th, 2014 Posted by Analytics No Comment yet

smart lists analyticsSo your web business is booming. Sales are up and traffic is increasing every day, but how do you keep customers interested in what you have to sell? One of the most popular ways is by doing what is called remarketing. As Google explains it, “Remarketing is a feature that lets you reach people who have previously visited your site, and show them relevant ads across the web or when they search on Google. (more…)

How To Calculate ROI Through Analytics

July 10th, 2013 Posted by Analytics No Comment yet

Calculate ROI Through AnalyticsReturn on Investment (ROI) is the ratio of your net profit to your costs. Although a lot of businesses do not understand the ROI of Analytics, calculating ROI for PPC campaigns such as AdWords is essential to creating ad campaigns that generate a significant Return on Investment. Basically, ROI Through Analytics shows the real impact your advertising efforts have on your business.

Google Analytics is a tool that tracks all of the traffic coming to a website, telling you how your visitors engage with your website. This valuable information can show you how much of your website traffic or sales is driven by AdWords. The following is a guide on how to calculate ROI through analytics, or calculating your Return on Analytics (ROA)

In simple terms, The ROI calculation is based on the following:
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Measuring ROI In Google Analytics

June 1st, 2013 Posted by Analytics No Comment yet

roiThere are changes with the new version of Google Analytics, Google Analytics 5, which can be found by clicking on the New Version link in the top right of your Google Analytics dashboard. One important change is the new setup features for social media ROI measurement. The following article is a helpful guide on Measuring ROI in Google Analytics.

Google Analytics Setup Goals

The first task is to setup your goals in Google Analytics. A completed goal, for example, can be when a person visits a particular webpage or when a person performs an action such as making a purchase. By setting up goals, you are able to track activities such as: clicks on an affiliate link to a product on another site, fills out a form, clicks on a link to your social profile, subscribes to a newsletter, etc.
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Untangling Google Analytics Visitor Flow

April 10th, 2013 Posted by Analytics No Comment yet

flow visualizationUsing Google Analytics Visitor’s Flow feature is a very valuable tool to visualize the path your visitors take on your website.

Visitor’s Flow can give you an excellent visual about how your site visitors navigate through your site. On Google Analytics’ official site, they state, “Visitor Flow is a graphical representation of the paths visitors took through your site, from the source through the various pages, and where along their paths they exited your site.” The visualizations allow you to see the following:
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Digging Into Pinterest Analytics

March 25th, 2013 Posted by Analytics, Pinterest No Comment yet

pinterest business analyticsPinterest helps people collect and organize the things they love in a simple visual way. People on Pinterest are connected by their shared interests, hobbies, values, interest, and tastes.

For business, Pinterest offers many marketing opportunities. While browsing your boards, Pinners find something they love. Then they scroll through a category you are listed in, or search for you directly. As a business, you can enhance these interests by pinning in an authentic and personal way.

How Pinterest Works

A pin could be a quote, gift, or something else. If you add the Pin It button to your website, people can use it to pin your stuff to Pinterest. Then, more people can repin those things or click to return to your site. Boards are how Pinners collect and organize their pins. Each board tells a distinct, tailored story about that person. Pinners can follow the boards of the pins they like.
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Comparing Descriptive, Predictive, And Prescriptive Analytics

March 24th, 2013 Posted by Analytics No Comment yet

Analytics ModelingTo gain a competitive edge, today’s businesses are heavily engaged in data analytics. Due to the increased growth of unstructured data on audio video streams as well as social media, data analytics has become essential in order to gain greater insights.

The purpose of Data Analytics is to get actionable insights which results in making better business decisions and therfore getting better results. Getting relevant actionable results depends on the design of data analytics processes. It is essential to have a varied flexible analytics process that is optimized for effective gathering and analysis of various datasets.

There are three types of analytics – Descriptive (forecasting), Predictive (business intelligence and data mining), and Prescriptive Analytics (optimization and simulation) The one business a uses depends on a business’ knowledge and experience on analytics. The following outlines a comparison of Comparing Descriptive, Predictive & Prescriptive Analytics.
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