DataRobot

JUNE 8, 2021

My lifestyle choices don’t neatly fit into customer categories that marketers have been using for decades. Some marketing campaigns assume that if I’m a fifty-something man purchasing a product for a child, I must be a grandfather. Other misguided marketing campaigns have tried to sell me shampoo or funerals.

Data-driven 98

Data-driven Testing Marketing Experimentation 98

FineReport

DECEMBER 11, 2019

Pay attention to the profound influence of social media on consumer behavior; present new consumer behavior characteristics in the new network environment; analyze new hotspot marketing and consumption events. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. By Michael Milton.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

O'Reilly on Data

MARCH 31, 2020

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty.

Management 339

Management Machine Learning Experimentation Metrics 339

Sisense

JANUARY 21, 2020

You’re working for an ice cream company that is about to market a brand new special-edition flavor. This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term.

Testing 104

Testing Risk Data-driven Statistics 104

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Here are some areas where organizations are seeing a ROI: Text (83%) : Gen AI assists with automating tasks like report writing, document summarization and marketing copy generation.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

Occam's Razor

SEPTEMBER 19, 2011

Smart Marketers ask themselves these questions very frequently. We have to do Email Marketing. Smart Marketers work hard to ensure that their digital marketing and advertising efforts are focused on the most impactful portfolio of channels. Marketing heaven that is. We have to do Search Engine Optimization.

Measurement 119

Measurement Advertising Testing Marketing 119

Occam's Razor

AUGUST 22, 2011

To assist with that process everything's organized into these sections: ~ Digital Marketing: "What is amazing out there? Digital Marketing: "What is amazing out there? " 11 Digital Marketing “Crimes Against Humanity”. Mobile Marketing and Analytics: Click-to-Call Mobile Ad Campaigns. Be data driven?"

KPI 124

KPI Metrics Measurement ROI 124

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Among these, only statistical uncertainty has formal recognition.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Experiments come in all shapes and sizes: A marketing campaign. Testing out a new feature. Try to understand your market. Identify, hypothesize, test, react. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Ontotext

APRIL 3, 2024

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. It enables you to look at common pathways and see what activities can change behavior, particularly in the marketing world. These are not statistical inferences. It’s open. Maybe later.

Technology 59

Technology Risk Digital Transformation Measurement 59

Insight

MARCH 12, 2020

The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. On my test set, this approach resulted in~75–95% accuracy and ~.65

Modeling 59

Modeling Metadata Publishing Sales 59

Insight

APRIL 28, 2020

How will they interact with product, engineering, sales, or marketing? You’ll often see the name “data challenge” used when the take-home assignment involves machine learning or statistics or “coding challenge” when the focus is on evaluating a candidate’s software engineering skills. Will they be a strategic thought partner?

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Such is the case with A/B testing. I don’t mean: BUY IT NOW OR ELSE! Sizing the Opportunity. I still do it less than I should. The tools are free and abundant. Yet, you don’t use them.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means.

Statistics 44

Statistics Optimization Modeling Experimentation 44

AWS Big Data

JULY 3, 2023

Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ).

Snapshot 83

Snapshot Data Lake Testing Strategy 83

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. Just don't fall for their bashing of all other vendors or their silly claims, false, of "superiority" in terms of running 19 billion combinations of tests or the bonus feature of helping you into your underwear each morning. And I meant every word of it.

Testing 112

Testing Experimentation Risk Optimization 112

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). What ideas to test first on your site? The book is for CEO's and Marketer's and Search Specialists and Web Designers and User Researchers and Website Administrators and Website Owners and HiPPO's and of course Web Analysts. Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Occam's Razor

JANUARY 9, 2012

The real problem is that our management teams lack imagination when it comes to the web, and our marketing executives continue to do TV on Twitter, catalogs on display ads, irrelevant shouting on search, etc. The problem is Marketing and lack of imagination in using the web/digital channels. The problem, it turns out, is not data.

Marketing 140

Marketing B2B Measurement Risk 140

O'Reilly on Data

MARCH 23, 2023

It’s commonly believed that the more parameters, the better; that’s at least a good story for marketing to tell. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. And it can look up an author and make statistical observations about their interests.

IT 271

IT Modeling Testing Risk 271

CIO Business Intelligence

DECEMBER 6, 2023

And in addition to having generative AI cite the sources of key information, consider ways to highlight elements that are important to double check, like dates, statistics, policies, or precedents that are being relied on. Human reviewers should be trained to critically assess AI output, not just accept it at face value.”

IT 127

IT Risk Management Interactive Modeling 127

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. A geo experiment is an experiment where the experimental units are defined by geographic regions. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. by turning campaigns off).

Advertising 42

Advertising Testing Sales Statistics 42

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. Such decisions involve an actual hypothesis test on specific metrics (e.g.

Experimentation 68

Experimentation Sales Metrics Measurement 68

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses. M-F) + ?).

Statistics 27

Statistics Uncertainty Risk Marketing 27

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. evaluate the effects of models on human subjects.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. In case of WebTrends replace those terms with Marketing Intelligence / Visitor Data Mart etc. Part of it fueled by some Consultants. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

SEPTEMBER 13, 2016

The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. Hypothesis development and design of experimentation. Ok, maybe statistical modeling smells like an analytical skill. If these 50 pass the sniff test, send the survey. Pattern recognition and understanding trends.

Modeling 127

Modeling Reporting Strategy Consulting 127

Smarten

MAY 11, 2017

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist, ETL or developer. Advanced Data Discovery ensures data democratization by enabling users to drastically reduce the time and cost of analysis and experimentation.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Smarten

JULY 3, 2017

It can also improve its time to market and competitive advantage, its ROI and its TCO. Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist.

Visualization 40

Visualization Predictive Modeling Business Intelligence Experimentation 40