Holy Grail of eCommerce Conversion Optimization - 91 Point Checklist and Infographic. 5 Key Indicators to Measure your Press Release Effectiveness. This is a guest post by Aleh Barysevich, Marketing Director at Link-Assistant.Com. Press release distribution is something each site owner has at times considered for promotion. Some of us want more search traffic as a result of press release distribution; others seek media outreach. Some opt for free distribution, others use paid services. Few are aware that services vary depending on how they’re used and make their choice accordingly.
But at the end of the day, the question is: how do I evaluate if a press release really did the job? Apparently, the outcome should depend on the goals, so let’s start with a list of goals site owners usually set for press releases. What are the goals for press release distribution? This pyramid summarizes the most common goals for PR distribution: Similar to the Maslow pyramid, most fundamental needs are at the bottom, i.e. basically site owners view press releases as a link building method. Next comes overall traffic boost – be it through: 1. 2. 3. 4. 5. Infographic: Shopping Cart Experience » Checkout Optimization. In short: If you think this is valuable, please share it via a link to this page. And if you’d like more, you can encourage me to finish my book about checkout optimization!
You can also tweet this or share it on Facebook. Over the course of the last few years, I have been in and out of the details of conversion rate optimization. My career at a digital marketing agency affords me the privilege of working with some of the top brands in the world. I am equally lucky to know some great entrepreneurs with very small businesses. Among the fascinating things that I get to see every day and across the spectrum is how much of an impact a small improvement at the checkout makes. Simply, more sales equals more sales. In 2009 I thought about this issue and started researching attributes across a number of shopping carts. And that’s how this infographic came to be. The Conversion Rate Optimization Report 2012 [Infographic] Three cheers for A/B Testing! Hip, hip hooray! One of the hardest things about conversion is getting up-to-date stats (many people want average conversion rates, but unless you get them for specific industry verticals, they are often just vanity metrics).
The nice thing about this infographic is that it keeps it simple and only gives one example – for retail. The bad news is, that despite growth in the market, conversion rates are going down. Why do you think that is? Bad marketing? The infographic suggests that the reason for the decrease in conversion is due to too much money being spent on acquiring visitors ($92), but virtually nothing ($1) is spent on converting them into customers. So let’s recap the most salient points represented in the infographic; What’s happening in conversion land 2012? Happiness with conversion rates is low: After 4 years of research, only 1% of those polled were very satisfied with the optimization efforts. Tweetables » Tweet This « » Tweet This « » Tweet This « How I Used Optify and Google Experiments to Run a Landing Page A/B Test | B2B Marketing. On August 1, 2012 Google moved it’s old Google Website Optimizer into the Google Analytics product and renamed it Google Content Experiments.
I recently ran an A/B test on an Optify Landing Page using Google Experiment. Here are the basic steps for the setting up, running and measuring your landing page test. Step 1 – Choose the variable to be tested Every A/B test starts with the variable you would like to test. By its nature, an A/B test tests one variable, but you can run multiple A/B tests at once to test more variables. The rule of thumb is that each tested variable should be tested on a separate “cell” (or variation) which would mean that the number of variables is always one less than the number of test variations. For example, if you test one variable, you will have two variations of the asset – Control and Treatment 1. Step 2 – Set up the hypothesis Your hypothesis should include the tested variable and the “decision rule” and should be clear and short. Step 10 – Start a new test.