datapine

FEBRUARY 4, 2020

Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age. That way you can choose the best possible metrics for your case. Regularly monitor your data. 1) Marketing CMO report.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

FEBRUARY 26, 2008

Use your customers and competitors to help you move the ball forward (buy a new tool, hire another analyst, kill hideous home pages, spend right amounts on SEM and SEO, publish rich media on your site, implement feedburner , or whatever else you want). 1: Implement a Experimentation & Testing Program. # 6: If All Else Fails. . #

Management 68

Management Experimentation Testing Strategy 68

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it).

Analytics 60

Analytics Metrics Marketing Dashboards 60

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime.

Experimentation 68

Experimentation Sales Metrics Measurement 68

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

DECEMBER 12, 2016

What one critical metric will help you clearly measure performance for each strategy above? How will you know if the performance was a success or failure, what's the target for each critical metric? Even if you follow the 10/90 rule, it is important to focus our time and resources optimally. This is sub-optimal.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. Or an actual outcome metric. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

JANUARY 9, 2012

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? Lack of loyalty shows simply re-publishing AP stories is useless. All while constantly optimizing your portfolio via controlled experiments.

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

OCTOBER 23, 2006

Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). Get competitive data (we are at x% of zz metric and our competition is at x+9% of zz metric). Great for a couple months and then you lose the audience. 6 Reporting is not Analysis. Your Choice? .

Data-driven 117

Data-driven Metrics KPI Reporting 117

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? You can define models using a straightforward logical syntax and solve them with fast convex optimization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MAY 27, 2015

Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. Per our friends at Wikipedia, Programmatic encompasses an array of technologies that automate the buying, placement and optimization of media inventory. Bonus: Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to! <

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It can be a brand metric, say Likelihood to Recommend. It is not that hard.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

Occam's Razor

APRIL 29, 2013

Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. It is a really good metric. There are many spectacular reasons for why Like (and +1s, Followers) is a horrible metric.

Marketing 166

Marketing Metrics Advertising Measurement 166

O'Reilly on Data

MAY 11, 2020

Infinite Jest was published in 1996, just as the modern Web was coming into being. It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190