Showing posts with label Google Analytics. Show all posts
Showing posts with label Google Analytics. Show all posts

Monday, 29 May 2017

Purchase funnel In Digital Marketing

Understanding consumer journey has been always a hard task to do for a digital marketer. This complexity is due to the improvement of information technologies. This improvement affects the consumer behavior when they are shopping online as they no longer rely on advertising messages when they are determining what to purchase. Instead, choosing to educate themselves by reading product reviews and recommendations leaving behind countless of data points every day. Well, it is true that information help to improve the shopping experience, yet it made a complicated task for a digital marketer to follow their consumer path. However, with implementing and using specific software, such as Google Analytics, to measure and analyze consumer journey makes following the journey a smoother task to absorb.
In this blog, I will provide an explanation about consumer purchase funnel, from where it starts and where and when it ends. But, before digging into more details, I encourage you to check this YouTube Video:

What is a Purchase Funnel?

"The purchase/purchasing funnel is a model which describes the theoretical customer journey from the moment of the first contact with your brand to the ultimate goal of a purchase. This model is important when marketing your business as it provides a method of understanding and tracking the behavior of an average customer throughout the sales process."(1)

Purchase Funnel


I am sure that you have seen this chart many times in your life, and sometimes you feel confused because it seems complex to understand the process and steps involved. But, this Purchase Funnel process is summarized below:
  • Awareness: The customer is aware of the existence of a product or service. Awareness is based on a communications message, word of mouth or independent discovery. Thus, Companies must market themselves and create awareness before they can even hope for sales. There are many ways to increase a brand awareness; for example, writing blog posts about the products or services, posting a video or a picture, and email newsletters. 
  • Consideration: the main goal is to increase customer acquisition. The consumer thinks about it and asks around, but a lot of it happens online. Once a customer is aware of your product, they will consider your offering. 
  • Research: The customer Use mobile phones, tablets, laptops and desktops to find more information about specific product or service 
  • Comparison: The customer Compares similar products, prices, demonstrations and testimonials in the search engine. 
  • Action: The customer buys, joins, sign ups, etc. 
  • Review: The customer goes online on social networks to review and share their experience.

Using Google Analytics to create a Funnel Visualization report:

Google Analytics offers Funnel Visualization reports which help you to understand your consumer behavior starting from placing an item in a shopping cart, entering payment information, reviewing the final order to clicking on the confirmation. The Funnel Visualization report helps to measure the KPIs and optimize the website pages to increase the conversion rates.

To set up a goal funnel in Google Analytics in more detailed explanation, check out this article: Understanding the Funnel Visualization in Google Analytics


It is obvious that consumers start on one social media platform in the beginning of their purchase journey and then shift to another. As digital marketers, we are looking for the way to meet consumers on every touchpoint they are on to serve them the right information at the right time to guide them toward the final step in the purchase funnel. The modern customer journey begins with self-education about a product or service to discover what is the best features, compares the price and looks for the best offer before deciding on buying it. Customers research about the brand on social media, read product reviews and compared prices. Once buyers have narrowed down his/her choices to a specific brand, they will consider buying that products or service. Finally, after the purchase, a brand should carry on fostering the relationship between the brand and customers by preparing campaigns for upselling and cross-selling and boosting loyalty.

Friday, 14 April 2017

Understanding the main concepts used in Google Analytics


Google analytics is an amazing free tool that provides information about your site, your visitors and where they came from. All this information can be used to find new customers and increase conversions. Understanding how Google Analytics works will help you to understand the effectiveness of your marketing campaign, to learn more information about your visitors and to optimize your website or blog for conversions and sales. In this post, we will look at the main important Google analytics terms. But before reading the listed definition, I encourage you to watch this a YouTube video. This video explains everything you need to know to navigate and understand your Google Analytics account better to get insights on what's happening on your site.

Bounces:
A Bounce represents a Visit with only one Pageview.
Bounce Rate:
The Bounce Rate represents the percentage of single-page Visits (Total Bounces divided by total Visits).
Entrances:
Entrances represent the number of Visits that started on a specific Web page or group of Web pages.
Events:
Events represent custom actions that are distinct to a particular GA account. Events can include actions like clicking hyperlinks, images or stop and play buttons in video players.
Exits:
Exits represent the number of Visits that ended on a specific Web page or group of Web pages.
New Visits:
New Visits represent the number of first-time Visits during a specified time period. The presence of cookies in the Web browser determines whether it is a New or Return Visit.
Page Value:
Page Value is used in e-commerce to assign a relative value to any page viewed prior to a monetary transaction.
Pages per Visit:
Pages Per Visit represents the average number of Pageviews during the course of a Visit (Total Pageviews divided by Total Visits).
Pageviews:
A Pageview represents an HTML file being loaded in a Web browser. Multiple views of the same Web page are counted in this metric. Non-HTML files, such as PDF documents, are typically counted using Events, rather than Pageviews.
Return Visits:
Return Visits represent the number of repeat Visits during a specified time period. The presence of cookies in the Web browser determines whether it is a New or Return Visit.
Percentage Search Refinements:
% Search Refinements represent the percentage of internal search queries that resulted in at least one additional search in the same Visit.
Time on Page:
Time on Page represents the average amount of time, in seconds, a Visitor spends on a particular page. Technically, it represents the time between the start time of a given Pageview and the start time of the subsequent Pageview or Event.
Unique Events:
Unique Events represent the number of Visits during which the specified Event (e.g. PDF download), or group of Events, was triggered at least once. Duplicated Events are not included in this metric.
Unique Pageviews:
Unique Pageviews represent the number of Visits during which the specified page, or group of pages, was viewed at least once.  Multiple views of the same page and page refreshes are not included in this metric.
Unique Visitors:
Unique Visitors represent the number of unique Web browsers that access a website during a specified time period. The presence of cookies in those browsers determines whether they have visited the site before. Ideally, each browser is counted as a Unique Visitor only once in a given time period.
Visit Duration:
Visit Duration represents the average amount of time, in seconds, of a Visit. Technically, it represents the time between the start time of the first Pageview and the start time of the last Pageview or Event.
Visits:
A Visit, or session, represents the full-time span that a Visitor spends on a particular website, starting when the first Web page of that site is loaded in the browser and ending when the Visitor either leaves the website, closes their browser, or the Visit times out after 30 minutes of inactivity.
Visits with Search:
Visits with Search represent the number of Visits in which the Visitor utilized EPA's internal search tool. A successful search is recorded each time the Search Results page loads and the URL string includes the parameter "querytext."
Reference :