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

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. 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. This should not be news to you. But it is not routine.

Metrics 156
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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). The benchmark for the beautiful metric AVOC is 15.3%. As the second box indicates we not only use this approach to look backwards.

Analytics 131
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Knowledge

Occam's Razor

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Key To Your Digital Success: Web Analytics Measurement Model. Web Data Quality: A 6 Step Process To Evolve Your Mental Model. "Engagement" Is Not A Metric, It's An Excuse. How do I choose well? How to focus?"

KPI 124
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AI Product Management After Deployment

O'Reilly on Data

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”.

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Email Marketing: Campaign Analysis, Metrics, Best Practices

Occam's Razor

The only requirement is that your mental model (and indeed, company culture) should be solidly rooted in permission marketing. You just have to have the right mental model (see Seth Godin above) and you have to… wait for it… wait for it… measure everything you do! Just to ensure you are executing against your right mental model.

Metrics 137
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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

Using the right marketing KPIs (key performance indicators) is a good start – what is now left is finding a way to organize it all in a way that makes sense and brings value. Structure your metrics. That way you can choose the best possible metrics for your case. How do you know that? Regularly monitor your data.

Reporting 280
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Best Web Analytics 2.0 Tools: Quantitative, Qualitative, Life Saving!

Occam's Razor

Mongoose Metrics ~ ifbyphone. I know Mongoose Metrics a bit more and have been impressed with their solution and evolution over the last couple of years. Experimentation and Testing Tools [The "Why" – Part 1]. Twitter to me is a proxy of how data collection is changing and what the future of relevant metrics might look like.

Analytics 135