Marketing & scientific analysis on internet Split run testing
targeted visitors through online internet research
Analyse your web site marketing performance, improve visitor experience and maximise you return on investment
Test what works; test what improves positive customer response; test sales offers; improve your bottom line.
Split-Run Testing
Marketing Research
Test Elements
Statistical
Significance
Test Relevance
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Online Marketing & Scientific Analysis

Marketing & Scientific Internet Analysis of your online marketing and promotion uses the split-run testing technique to test which elements of your marketing message motivates visitors/consumers to interact with your web site and helps identify different scenarios and approaches which work in converting the visitors product interest into sales.

Testing is necessary as there are no hard, fast or fixed rules that work in every situation for every product or service. Opinion varies as to whether a single- or multi-page sales pitch provides the desired response or whether an 'in-your-face' headline works better than a more measured message. What works depends on both the product, service or offer presented and the visitor to your web site.

Split-Run Testing

What is important is what works for your product or service. Split-run testing enables you to test different marketing strategies and identify the elements contributing to the success of your online marketing and advertising campaigns and more importantly, maximise your online sales.

Scientific split-run testing enables you to test the variables that make up your sales offer and identify which elements are the more successful.

Page content and sales message, different headlines, different images or even different web site designs can all be tested. Testing highlights which variables or combination of variables out-perform others. Once identified these can all be incorporated into your online product advertising to maximise your conversion rate and return on investment (ROI).

Market & Scientific Research

Market research is carried out in all areas of business and public life to measure consumer views, attitudes, likes, dislikes and voting preference or intention. As face-to-face research, in an on-line environment, is impossible, Split-Run Testing is the only way to measure a potential buyer's preferences and responses to your online marketing strategy.

Split-Run Testing Elements

Any element of a marketing or promotional campaign can be tested:-

  • Page/sales content/copy
  • Length of copy
  • Page design/layout
  • Price offers
  • Popup windows
  • Web site design
  • Headlines
  • Font style, sizes, colour
  • Site navigation

Two or more of any of these elements can be setup for testing and over a period of a few weeks or months (depending on visitor numbers) scientifically collected data can be analysed to provide real-world results showing which tested elements of your marketing strategy are actually working and providing real returns for your sales & marketing effort.

The most successful marketers monitor, test and apply research data to refine their sales message and presentation to provide their visitors and potential purchasers with the information they need to complete the buying process. If not testing your visitor's experience then you're severely limiting the performance of your web site Testing is the key to enhance your visitor's experience, reduce associated sales costs helping to build and maximise your online income and revenue earning potential.

Statistical Significance

The value of testing is dependent on the validity of the data and that is largely dependent on sample size. In this context 'size' is certainly important. The more visitors your site receives, and are subjected to the testing process, the more statistically valid will be the test results.

More importantly and significantly, the more visitors your site attracts the more critical it is that you test their experience of your marketing strategy. Without proper testing and analysis the value of your hard earned visitor numbers is being lost. Also, the higher the number of visitor the shorter the test analysis cycle necessary to achieve statistically significant results.

However, lower visitor numbers is not a reason to forego proper testing. Although the testing cycle will be longer, any results obtained still provide an indication, however rough, and is much better than having no idea at all.

Test Subject Relevance

To ensure that your results are not flawed proper split-testing techniques need to be employed to ensure test results are valid, relevant and meaningful.

It is important that when a potential buyer visits your site and takes part in the testing process they are not presented with different versions of the test variable if they return before completing the full test procedure eg they buy or fulfill the object of the test on visit 2, 3 or more. If this were not controlled the collected data would be inaccurate and largely meaningless.

OMSA (Online Marketing & Scientific Analysis) ensures that each new or returning visitor receives the same and only one test variable subject regardless of the number of visits made before completion of test process. If a visitor leaves before completing the full test and returns at a later date they will always be presented with the same test object originally presented. This ensures that all and any test results reflect the response to variable being tested.

Somebody, many years ago now, made the comment to the effect that "I know that 50% of advertising works - the problem is I don’t know which 50%".
TESTING HELPS YOU FIND OUT!

As results are analysed and marketing strategy developed, in response to collected data regarding particular elements of a campaign, further refinement can be undertaken with other elements of the promotional offer or indeed other new or unrelated campaigns ...in fact, you can test each and every element of your web site systematically and scientifically.

Any change to your web site can be tested to monitor the effect on visitor experience and site aims and objectives. If the change has a positive effect, keep it. If it doesn't, drop it and test another element.

Three things to remember: TEST, TEST, TEST.

 
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