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Brian Massey

http://publications.mediapost.com/index.cfm?fuseaction=Articles.san&forwarddg=1&art_aid... - 0 views

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    Shimon Sandler offers some tips for linking phone orders to search campaigns, ranging from simple (using a pay-per-call provider) to more involved (setting up a database of unique promo codes tied to specific keywords).

    You can create a unique landing page for each product that features a different phone number for each of the engines, or add a promo/reference code to each product page and train your phone sales reps to ask for and record this code for every order.

    Sandler says that you can also put a printable coupon on each landing page that consumers need to redeem in-store, or try an IVR phone system that tracks phone calls and their sources. - Read the whole story...
Brian Massey

Ifbyphone - Call Tracking For Online Marketing - 0 views

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    Put a special phone number on your site to see how many calls it is generating.
Brian Massey

'Roll Your Own' Phone Call Tracking Program - It Is Easy! « seOverflow Blog - 0 views

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    DIY Call Tracking from Jason Owen at PubCon
Brian Massey

Conversion Conference Blog » Retargeting Emails - Do E-commerce customers lik... - 0 views

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    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
Brian Massey

Why It's Like 1995 on the Mobile Web Right Now-Get Elastic - 0 views

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     @getelastic Linda Bustos sees what I see: that the state of mobile websites is like the state of desktop websites circa 1995. What will we look back at and laugh at in five years?

    I think we'll laugh at the "hamburger" menu, what Linda calls the Adidas menu.

    I also think we'll laugh at responsive designs for small screens, like phones. Small screens need a custom design.

    The good news is that we have better tools for testing, and I expect Mobile 1.0 to have a short life relative to Web 1.0.

    Linda's article is full of examples for you to not emulate. It will be seen as a harbinger of change in mobile.
Brian Massey

Semantics - What does data science reveal about Clinton and Trump ? - Reputation Squad ... - 0 views

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

Create text-to-speech (TTS) podcast from RSS feed for iPod, iPhone, MP3 player and mobi... - 0 views

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    Convert blog posts to podcasts.
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