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- Luisa Woods: Hi Marianina, I think you make a very good point about the importance of segmentation. I like to carry...
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- Web analytics winners and losers? It’s the people that make the difference.
- Simple segmentation for your website and better web analytics understanding
- Web Analytics Wednesday in London - the future of web analytics
- Digital cream: revealing debating at econsultancy’s marketing event
- Google Analytics Tip: Ecommerce tracking set up, screenshots and why it’s useful
- Reliving my customer’s experience and some nice screenshots
- Internal site search part 2
- The best charts ever and food for thought for us web analysts
- 8 conversion rate tactics
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My Blogger Friends
I have been unbelievably, ridiculously busy. Being a career mother, with a two year old toddler, in a big old city like London, makes for very challenging time management.
Anyway, excuses aside. I have been doing some fun and intense web analytic - ey type things recently.
Recently when doing some multi-variate testing, I noticed that there was a much higher conversion rate on exactly the same form page but for different types of property market. For example, when people were looking to rent, they converted at a significantly higher rate, perhaps a 20% increase in click through rate (CTR) from the property details page to contact the agent form page compared to people looking to buy a house.
So, I went into tealeaf to replay sessions for buying versus renting, conversions and non-conversions.
It was fascinating, because everytime there was a graphic displaying energy efficiency on buying, just above the call to action button, people weren’t clicking on the call to action button. So in other words, a product feature that only sometimes appeared for some products, was distracting attention from the call to action.
This is how I find people’s journeys - I either pick the url within the date I am looking at or free text (or many other search options).
Then I am able to watch, just like a video, exactly what happened on the website.
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recent posts
- Measuring social media, influence, debate, buzz monitoring
- Web analytics winners and losers? It’s the people that make the difference.
- Simple segmentation for your website and better web analytics understanding
- Web Analytics Wednesday in London - the future of web analytics
- Digital cream: revealing debating at econsultancy’s marketing event
- Google Analytics Tip: Ecommerce tracking set up, screenshots and why it’s useful
- Reliving my customer’s experience and some nice screenshots
- Internal site search part 2
- The best charts ever and food for thought for us web analysts
- 8 conversion rate tactics
recent comments
- Luisa Woods: Hi Marianina, I think you make a very good point about the importance of segmentation. I like to carry...
- Eric T. Peterson: Marianina, Nice to have seen you Monday in London! I just got this post so perhaps something odd is...
- Marianina Manning: Hi Luisa, Thanks for your thought-provoking comment! I agree that new ways of looking at web...
- Luisa Woods: Hi Marianna, Reading this post got me to thinking. I have seesawed back and forth between project...
- Brent Crouch: Hi Guys, I’ve been trying to integrate GA E-commerce tracking with Paypal for a few weeks now. There...
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Web Analytics Princess by Marianina Chaplin


February 15 2008
This appears to be a useful analysis…
How did you support your findings with statistical numbers?
Have changes been implimented and if so have you measured any them?
February 15 2008
Hi Simon, I am running a multi-variate test, so that I can assess whether moving the CTA further up the page makes a difference. I didn’t support my findings with statistics, but with data, in the sense that I tracked the conversion of the pages with the “offending” graphic versus without. And surprise, surprise the page without the graphic had a much higher CTR. Thanks for the comment, Marianina
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