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Using Web Analytics to Increase Revenue & Decrease Spending

Using Web Analytics to Increase Revenue & Decrease Spending

Using Web Analytics to Increase Revenue & Decrease Spending

Web Analytics & Your Business

You’ve likely heard the quote “Half the money I spend on advertising is wasted; the trouble is I don't know which half” (usually attributed to US Department Store Merchant, John Wanamaker).

Well, you can scrub that one from your mind when it comes to digital marketing because wasted ad spend is a measurement and attribution problem. Companies even as big as Google have been working on the attribution problem for some time now. While there’s no “single answer” for every company, digital marketing attribution has thoroughly surpassed the “50% wasted ad spend” point. In fact, the ability to identify return on advertising spend (ROAS) has become nearly ubiquitous thanks to free tools like the Google Analytics attribution feature.


Do you remember when Watson won Jeopardy? Well, we’re a few years on now with large advances in the application of artificial intelligence and machine learning to marketing – making this often-cited quote less and less applicable by the day.


These fast advances in marketing efficiencies have led to an onslaught of businesses implementing web analytics in order to identify and act on statistics-based customer (and other financial) insights. Let’s look at a few features that web analytics solutions are enabling for millions of web sites. Below is a list of practices within the analytics space with direct business impacts:


Customer Profiling

Customer Profiling is the process of construction and application of user profiles. It helps increase revenue.


Conversion Optimization

Conversion Optimization is a system for increasing the percentage of visitors to a website that convert into customers. It directly relates to increasing revenue.


Email Marketing

Email Marketing optimization involves sending personalized e-mail through a database of personally identifiable individuals or to anonymous recipients identified using email retargeting. Email Marketing directly relates to increasing revenue.


Targeted Advertising

Targeted Advertising is a form of advertising where online advertisers can use sophisticated methods to target the most receptive audiences with certain traits, based on the product or person the advertiser is promoting. Targeted Advertising primarily decreases spending through the careful calculation and monitoring of  return on advertising spending (ROAS)


Customer Retention Analytics

Customer Retention Analytics refers to the ability of a company or product to retain its customers over some specified period. It decreases spending because it’s less expensive to keep an existing customer than to acquire a new one and it increases revenue through increased loyalty & “upselling” identification


And the list goes on and on. The use cases for web analytics is so extensive that many thousands of “MarTech” (Marketing Technology) companies have bet their business on this massive technology space. In fact, one study (picture below) by ChiefMartec.com is an extensive (and dizzying) list of MarTech companies and categorized 5000+ companies into market verticals.


Diagram 1: Marketing Technology Landscape (2017) by ChiefMarTec.com (http://chiefmartec.com/2017/05/marketing-techniology-landscape-supergraphic-2017/)


Because marketing and marketing qualified leads (MQL) are such a critical part of sales (which ultimately is responsible for all business progress), going without the sales-and-marketing enabling technologies ultimately means losing business to the competitors who use them. Ultimately, competition is one of the biggest reasons that these technologies will be a normal part of every business that survives in the future and keeping ahead of the competition’s use of technology will be the special domain of those businesses that actually thrive.


Installing Google Analytics is one way to start the data science process of extracting business insights from e-commerce data sets. The increasing adoption of data modeling and data science approaches are pointing thousands of companies directly to their target customers and their target markets. Web analytics and ecommerce data are important sources of large data sets required for finding data insights.

Additionally, thousands of companies now have what’s called a “MarTech Stack” where web analytics and ecommerce data are at or near the core of that “stack”.  In fact, the “Stackies Award” is a quickly growing event highlighting the best in national and international exploits by top marketing technology experts in their field.

Google Analytics & Shopify

If your business is like nearly 70% of the sites on the internet[1] then you’re at least using the Google Analytics free version. As the most popular web analytics tool in the world, hundreds of thousands of businesses have had it installed for years but very few businesses know or exploit its many features to decrease costs and increase sales.


So where can you get started slowly if you’re completely unacquainted with marketing technology and web analytics? We recommend that Growth Spark readers start directly with the  Shopify Google Analytics setup directions.

 


Diagram 2: Google Analytics User Flow

What Next?

So now that we’ve covered some of the “what” and “why” of analytics for business, in the next article in this series we will dig into the “how” of using web analytics to decrease spending and increase revenue for your business.

It would be our pleasure to assist you in your analytics projects, data warehouse initiatives, or data quality efforts. We are an analytics company with a passion for using data and technology to help our clients work smarter and make room for bigger and better ideas. To learn more, please contact the members of the Archetype team, or visit us online at: www.archetypeconsulting.com.

Author Profile
Israel Kloss is a Senior Consultant at Archetype Consulting in Boston, MA. He provides a broad range of data mining and modeling expertise to various clients throughout all lifecycles of the business optimization and data simulation projects. He has over 17 years of experience in web design and development, marketing automation, predictive modeling, data mining, opportunity mining, and competitive intelligence. You may see his articles on Donor Abandonment for universities and Account-based Marketing. He is also an occasional analytics conference speaker (emetrics.comCase.orgTableau User Groups,  NEDRAODSC and Drive Conference)

[1] Source: https://www.datanyze.com/market-share/analytics