Use Google Analytics to Fine-tune Your Value Proposition

Use Google Analytics to Fine-tune Your Value Proposition

September 8, 2018 7:55 am

Area of interest ecommerce corporations ought to give attention to their worth proposition. Fellow contributor Pamela Hazelton supplies wonderful recommendation on the topic in “Worth Propositions Improve Curiosity and Gross sales.” I’ll add one level to her article: The worth proposition ought to handle a sustainable aggressive benefit that the corporate could have over rivals — present or future.

As soon as the corporate defines it, the worth proposition ought to be measured. Knowledge from Google Analytics could be enlightening. It might affirm that the corporate’s clients align with the worth proposition, however it might additionally determine causes to regulate technique.

Instance Worth Proposition

Here’s a actual instance. Once I began my firm, Greek Web Market, my companions and I assumed we might goal principally Greek People who have been desirous about buying Greek meals gadgets on-line as a result of they might not discover the merchandise regionally or they most popular the comfort of ecommerce.

Thus our unique goal market was primarily Greek People and, secondarily, all People who loved Greek meals.

Our unique worth proposition emphasised customer support:

Excellent communication via the whole purchasing expertise and give attention to constructing lifetime relationships with our clients.

We based mostly our worth proposition on our information that sellers of Greek meals have been infamous for offering poor customer support and weren’t prepared to vary their methods. Nevertheless, quickly after we began promoting on-line, we started measuring our assumptions and made two massive discoveries.

  • Roughly half of our clients have been non-Greek. We measured this informally by reviewing buyer names from orders — not in Google Analytics. (We might have added a survey throughout checkout asking if the client was Greek or not, and imported the info into Google Analytics.)
  • Our clients have been principally city. We didn’t see a better proportion of orders coming from rural locations that might not have Greek groceries obtainable. We obtained this knowledge in Google Analytics utilizing the Metropolis report, at Viewers > Geo > Location and choose “Metropolis” as the first dimension.
Google Analytics was able to report most sales coming from cities, not rural areas.

Most gross sales got here from clients in cities, not rural areas, as reported by Google Analytics. Click on picture to enlarge.

We additionally used gross sales knowledge to determine repeat clients to find out if our buyer-targeted strategy was working. This knowledge didn’t come from Google Analytics on the time as a result of it didn’t have this functionality.

Nevertheless, we will now report repeat buyer conduct by creating an Superior Phase — click on the hyperlink, then save to your View in Google Analytics — and operating the report at Conversions > Ecommerce > Overview.

Reporting repeat customer revenue in Google Analytics.

In Google Analytics, Conversions > Ecommerce > Overview stories repeat buyer income. Click on picture to enlarge.

We discovered that a very small proportion of gross sales got here from repeat clients. That was not promising! Considered one of our assumptions was that excellent customer support would drive repeat consumers. However we missed a important worth proposition for our goal market: lowest worth.

We’ve since examined the “lowest worth” worth proposition through the years. We discovered that it did drive repeat gross sales, however it was not sustainable as a result of many rivals settle for poor revenue margins at ranges the place we have been unwilling to compete.

Over time, we used e mail marketing and different strategies of communication, together with incentives and promotions, to drive repeat gross sales. We deserted competing on worth and as an alternative targeted on service enhancements, similar to:

  • Speedy supply,
  • Beneficiant return coverage,
  • Loyalty incentives,
  • Free delivery for orders that exceed a threshold.

All of these enhancements supported our unique worth proposition: excellent customer support. However additionally they alienated many Greek People (half of our goal market) who have been educated of our merchandise and have been unwilling to sacrifice the bottom worth for our buying expertise.

We as an alternative grew a extra loyal following of Greek and non-Greek clients that appreciated our strategy to promoting. We carved out our area of interest.

Tips on how to Measure

In case your goal market is a sure gender or age vary, Google Analytics can report the share of your visitors with these demographics. Go to Viewers > Demographics > Overview to report age and gender. Nevertheless, not all guests are included on this report. The share that’s included is on the prime proper — “forty three.eighty three of complete customers” within the instance under.

<em>Audience &gt; Demographics &gt; Overview</em> shows age and gender of visitors. But not all visitors are captured in the report — 43.83 percent are shown in this case.

Viewers > Demographics > Overview exhibits age and gender of tourists. However not all guests are captured within the report — forty three.eighty three % are proven on this case. Click on picture to enlarge.

Break down the reporting by gender or age to determine which convert greatest. Within the instance under — at Viewers > Demographics > Age — ages fifty five-sixty four and sixty five+ transformed greatest, at 2.sixty one and a couple of.forty five %, respectively. If the goal market have been youthful consumers, the service provider ought to both change its technique or align with the older demographic.

Ages 55-64 and 65+ converted best at 2.61 and 2.45 percent, respectively, as shown in the "Ecommerce Conversion Rate" column on the far right.

Ages fifty five-sixty four and sixty five+ transformed greatest at 2.sixty one and a couple of.forty five %, respectively, as proven within the “Ecommerce Conversion Fee” column on the far proper. Click on picture to enlarge.

In case your goal market is a sure area, use the Geo stories at Viewers > Geo > Location to measure outcomes in addition to alternatives if sure areas are driving extra visitors and conversions than anticipated.

Reporting traffic and revenue by region (state) at Audience > Geo > Location.

Reporting visitors and income by area (state) at Viewers > Geo > Location. Click on picture to enlarge.

Study extra about your guests through the use of the Pursuits report at Viewers > Pursuits > Affinity Classes. Do the affinities align together with your goal market or worth proposition? Do you have to regulate your technique?

Learn more about your traffic and sales by using the Interests report at Audience > Interests > Affinity Categories.

Study extra about your visitors and gross sales at Viewers > Pursuits > Affinity Classes. Click on picture to enlarge.

In case your worth proposition is to construct a reference to clients by way of Fb and different channels, measure the effectiveness by reporting visitors and gross sales by channel at Acquisition > All Visitors > Channels. Do social websites generate a big proportion of visitors and gross sales? What concerning the conversion fee?

Within the instance under, in line 7, solely 173 customers got here from social channels. No income (at far proper column) got here from social.

In line 7, only 173 users came from social channels. No revenue (at far right column) came from social.

In line 7, solely 173 customers got here from social channels. No income (at far proper column) got here from social. Click on picture to enlarge.

The Final Suggestions

Profitable corporations use knowledge to vary technique or techniques to drive extra income. These corporations settle for that their preliminary assumptions have been misguided. Thus, all the time use knowledge. It’s the final suggestions for steady enchancment.


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