Remove 2011 Remove Optimization Remove Reporting Remove Statistics
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Excellent Analytics Tips #20: Measuring Digital "Brand Strength"

Occam's Razor

Step 4: In the middle of the resulting report you'll see a trend that looks like this: This shows the number of searches for your brand, relative to the total number of searches done on Google over time (for the geographic region and time period you've chosen). Step 3: Click Search. Amazon is an interesting example.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. But it is not routine.

Metrics 156
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Facebook Advertising / Marketing: Best Metrics, ROI, Business Value

Occam's Razor

So to imply the ROI in Step 4 is sub-optimal. Based on results of value identified for Facebook, optimize their advertising mix strategy for future product launches. Because we don't understand the uniqueness, we fall back on profoundly sub-optimal old world metrics like Reach or Online GRP equivalents. Time to dive deeper.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

For us, demand for forecasts emerged from a determination to better understand business growth and health, more efficiently conduct day-to-day operations, and optimize longer-term resource planning and allocation decisions. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. 1990): 3. [3]

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Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

If you are open to being challenged… then here are the short-stories inside this post… The World Needs Reporting Squirrels. The World Needs Reporting Squirrels. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Bonus #2: The Askers-Pukers Business Model.

Modeling 127
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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. Your traffic grew by 6% last year, what was your competitor's growth rate?

Metrics 123