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In Search of a Better Marketing Dashboard via Search Engine Journal 

In Search of a Better Marketing Dashboard via Search Engine Journal  | BI Revolution | Scoop.it

The Mythical Silver Bullet Dashboard
We aren't big believers in silver bullets. The web is too complex and fast for a single solution. The only time that matters online is NOW. 

That said, understanding what is happening now can prove TOUGH. If you've ever tried to tease out Google Analytics patterns you know just how tough. Can a dashboard help you know what is important faster? Maybe. 

The web creates one central problem - noise to signal ratio. Hidden inside the noise is a pattern, a signal, you need to convert better, to campaign better, to increase engagement and lower costs. Finding that needle can prove daunting. 

Needlessly daunting since half the reason we work so hard to understand is our marketing tools suck. They suck so bad we created a company, Curagami, to create new ones. Then we learned just how hard this road, the road to understanding, can become. 

Will this new dashboard make a difference? Cut the hype in half and there does appear to be something in there, something buried in its own stack of hay. 

Martin (Marty) Smith's insight:

We don't believe in silver bullets. The web moves too fast. This new dashboard suffers from some of the same "clouding" problems we are all too familiar with, but there's more of it (lol). 

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Rescooped by Martin (Marty) Smith from Travel Tech and Innovation
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Text Analytics For Everyone | UX Magazine

Text Analytics For Everyone | UX Magazine | BI Revolution | Scoop.it

The power of text analytics is now readily accessible through intuitive and openly available software. Running analysis is straightforward enough, as the examples in this article illustrate. However, the prerequisites of impactful insights haven’t changed. Proper problem definition, domain expertise, and stakeholder engagement are key to well-guided mining and actionable output—whether you’re improving a user interface or the broader user experience.

 


Via Luis Costa
Martin (Marty) Smith's insight:

Thanks to @Luis Costa for this great Scoop. Was looking for something like this just the other day as we discussed ways to understand the sentiment of online reviews :). M

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A Simple Approach To Online Marketing ROI

ODigMa presents a sales oriented approach to measurement of ROI across various stages of sales funnel. Use it to save tons in your marketing budget. This prese
Martin (Marty) Smith's insight:

Like this approach. Attribution is still a bear, but they give some good ideas for modeled workarounds.

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Lean Analytics Book Is A #mustread For Marketers

Lean Analytics Book Is A #mustread For Marketers | BI Revolution | Scoop.it

Book by Alistair Croll and Ben Yoskovitz about using data to build a better startup faster, part of the Lean Startup series with Eric Ries and Ash Maurya from O'Reilly

Marty Note
Reading Lean Analytics now and HIGHLY recommend it.

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Google Analytics Not Provided Driving You Nuts? Here Is How To Model Around It

Google Analytics Not Provided Driving You Nuts? Here Is How To Model Around It | BI Revolution | Scoop.it

Easy to model your Not Provided (or branded) keyword revenue down to where it belongs - the keywords that deserve it if Google was playing fair :). 

 1. Remaining - Subtract the rest of your keyword revenue from your massive Not Provided total. 

2. % Remaining - Divide your "Remaining" or non Not Provided keys into the Remaining total. This gives you the % for each non Not Provided key of the total revenue associated with non Not Provided keys. 

3. Allocate - Now multiple your Not Provided total by your % Remaining. 

4. Finally ADD your new Allocations by non Not Provided keys to their Google reported income (A + C). 

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