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Just because you have the data that proves you are "right" about something, don't expect anyone to believe you.

It's not about the data, it's about how you present the data.

Since Conversion Optimization is ONLY about generating data to guide decisions, I love to explore the various ways of presenting it.

Here is some awesome eye candy from some amazing sites.

While Data Scientists are in demand, the ability to manage them to productive ends and incentivize them to drive the company forward are skills that managers will need to develop before they see ROI.

Data scientist agencies, like Conversion Sciences will thrive until internal management gets up to speed on what to do with these new brainiacs.

HDRC provides Tally Data Recovery Services and helps in recovering your lost password of important tally data without any time loss with in an hour.

When we dig into a site's analytics, we try a number of different approaches to the data. Sometimes interesting things pop out, and sometimes the data looks "as expected."

This is an analysis we are going to start adding to our analysis: Heatmap of Conversions by Hour of Day. We will modify it for our ecommerce clients (as we track Revenue per Visit, or RPV).

You might try this and see if there is an interesting pattern in your data.

This article lists to the problems will be solving in 2017: marketers are stuck in data collection mode, and not data use mode; and that marketing software is too damn hard to use. We want to show marketers how to use data to make great decisions. And until the tools get easier-to-use, we provide the teams that know how to turn the knobs pull the levers and make these tools work well.

We use data to drive creative decisions. But never think that data accomplishes anything without creative, human guidance. Applied correctly, data will allow you to be more expansive in your allocation of color, metaphor, absurdities, alliteration, rhyming, pace, timber and all of the other things great communicators apply to make communication truly effective.

Retargeting Emails - Do E-commerce customers like or loathe them? March 10th, 2011Leave a commentGo to comments By Charles Nicolls, SeeWhy At SeeWhy, when we first launched our remarketing service in 2009, Randy Stross wrote a piece about email remarketing in The New York Times suggesting that while remarketing might be a great idea for ecommerce websites, it's not a great idea for consumers. He likened emails following up on abandoned shopping carts to a salesman chasing you down the street if you didn't buy from his store. There are major differences, of course. We've long argued that remarketing emails, when done well, not only drive conversions but also build brand trust. They can deliver great service and provide customers with the confidence to return to buy-either online, by phone or in store. If Randy was right and customers universally resented the intrusion, then these emails wouldn't work. In aiming to answer the question more substantively, I turned to data, and specifically email marketing benchmarks. The key metrics to look at to determine whether customers like or loathe remarketing emails are: the recovery rate the open rate the clickthrough rate the unsubscribe rate Frankly, the evidence is overwhelming: Remarketing, when done well, is appreciated by customers. Here's the evidence: (1) The recovery rate The recovery rate is the percentage of visitors that abandon shopping carts, and remarketed visitors thatthen return and purchase following remarketing. At SeeWhy, we measure recovery rates across all our customers, and currently the average is 20 percent. So, one in five shopping cart abandoners come back and buy, having being remarketed. In some cases, the recovery rate is as high as 50 percent. Moreover, when remarketed customers buy, they spend on average 55 percent more than customers who didn't abandon their shopping carts. (2) The open rate The average email open rate for remarketing emails is currently 46 percent, m

 @chiefmartec "out of 12,000 experiments that Google ran in 2009, only about 10% of them resulted in adopted changes." You are not Google. But you must realize that in every industry, an online leader is going to emerge, and it will be the company that adopts a testing culture.

Intuition is no longer your friend. Your intuition cannot comprehend the variety of ways our visitors are coming at us. Data and testing are your friends, or your online audience will continue to abandon you.

Get excited about testing and taking that leadership role in your marketplace.

Even data analysts can have a sense of humor, as is proved by the folks at eMetrics Summit. This short video will make Gilbert and Sullivan turn over in their graves, but these are the kind of people you are going to be seeing more and more in company marketing departments.

Here's a nice story about how data can be used to drive design and content decisions. Click tracking (heatmaps), session recording and user polling are all tools we put to good use here in the lab for our clients.

And if you want a fantastic example of using storytelling to educate and entertain, this post is just such a thing.

Data science in the season of US poitics. Good resources for mining text for test hypotheses. Good for chat transcripts, phone logs, reviews, etc.

It's great to optimize  high-traffic websites, but the traffic brings it own set of analysis problems. In particular, the number of things you can test goes up, the amount of data goes up and finding insights becomes more and more difficult. Excel is a great tool, but I'm looking for some tools to help cut the analysis time. Here is a nice list of free tools that I will be exploring over the coming weeks.

"One of the chief advantages that e-commerce companies currently wield over their real-world counterparts are vast troves of detailed data on purchases and shopping habits. " How are you applying behavioral data to your online store? Will you be the next dinosaur?

HDRC provides Computer Forensic Services to various Government and Law Agencies. Our Forensic Service covers all areas of computer fraud, computer misuse, internet/email abuse etc.

If there was one thing that defeats your efforts to market with data, it would be lack of resources. Marketing departments are notoriously under-staffed for the workload delegated by executives. It can become overwhelming to imagine doing tests when you're just trying to get communications out the door.

In the interest of helping you find more time and happiness in your work, I offer this excellent list of 26 "time hacks."

Please. Do some split testing with the extra time you find. Your visitors will thank you.

26 Time Management Hacks I Wish I'd Known at 20 from Etienne Garbugli @egarbugli

 @Avinash Kaushik has a unique ability to make analytics human. I don't share many analytics posts with you, as I don't want to scare you off. But I fear I may be underestimating you.

Here are ten very good ways to get to know your visitors through Google Analytics. I believe you will be energized and excited if you open these reports in your own Google Analytics account.

This is a great way to start appreciating your visitors in ways that will make your site more successful.

We focus on conversion marketing because it lets us spend our limited resources on the things that will move our business forward. However, when you first start your conversion optimization process, you are going to have to do MORE work until you get the data on what programs to kill. So, I thought I would pass along some very effective tips that have worked for me to find more time in my already crowded day. Enjoy. 

@yaost offers some good advice in this article. In particular, there are some testing "elephants in the room" that he points out. These include the fact that the Z score used by testing tools assumes a normal distribution -- a bell curve -- in the data. That is often not the case.

He also recommends ending tests on week boundaries. If you start a test on Friday and end it on a Tuesday, you may be exaggerating your results as Tuesdays are often bigger conversion days for ecommerce sites.

This article is just nerdy enough for most marketers, and you're going to have to add some nerdy to your repertoire if you're not already there.

The greatest threat to the accuracy of your analytics data is inconsistent implementation. Too often, Javascript "Tags" are left off of some pages, put on some pages twice or simply implemented wrong. And, as your site changes, more inconsistencies are created.

This affects more than just analytics tools. Advertising networks, ratings and review systems, user feedback systems and more rely on properly implemented javascript tags.

The promise of "Tag Managers" is that you can put one set of code on all of your pages, and then control, monitor and edit the javascript for all of these tags in one place, using rules to determine which tags get placed on which pages. It's another way for marketing to monitor the implementation of online systems without being beholden to IT.

Yay!

So, how are the biggest ecommerce companies using Tag Managers? Here's your answer.

If I was to rename this article, it would be, "20 Kinds of Best Practices and Why They Won't Work".

It is bad news to rely on best practices that are unsupported by data or testing. This article gives you 20 reasons why.