CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times. Now nearly half of code suggestions are accepted.

Cost-Benefit 130

Cost-Benefit Metrics Insurance Measurement 130

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

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. They advertise a feature where you can follow a meeting, and then Copilot will join and take notes for you.”

Cost-Benefit 120

Cost-Benefit Advertising Experimentation Software 120

Occam's Razor

SEPTEMBER 15, 2014

A majority of YouTube consumption is on mobile, yet if there is an advertising or content strategy inside a company for YouTube it rarely accommodates for this reality. Media-Mix Modeling/Experimentation. Mobile content consumption, behavior along key metrics (time, bounces etc.) Many reasons. CEOs still don't get it.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

JULY 6, 2016

Yes, I worry that Analysts, and Marketers, are spending too much time with their head buried in custom reports and advance segments and smart calculated metrics and strategic or tactical dashboards. No advertising, just amazing advice. They are all things I love and have repeatedly asked you to care for. Thanks. [ /sidebar ].

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

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. Another pattern that I’ve seen in good PMs is that they’re very metric-driven.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. That ACT was an activity metric was terrible – if you have a The success metric, it should always be an outcome metric. Another issue.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

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

The Unofficial Google Data Science Blog

MAY 31, 2016

However, it is generally not possible to determine the incremental impact of advertising by merely observing such data across time. One approach that Google has long used to obtain causal estimates of the impact of advertising is geo experiments. What does it take to estimate the impact of online exposure on user behavior?

Advertising 42

Advertising Testing Sales Statistics 42

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. Your company has recently launched a new pickup truck, along with the corresponding online advertisement campaign. For example, imagine that you are working for a car manufacturer.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

AUGUST 12, 2013

MCA-O2S covers the challenge of attributing the offline impact (revenue/brand value/butts in seats/phone calls/etc) driven by online marketing and advertising. MCA-AMS covers the challenge of attributing accurate impact of our marketing and advertising efforts across multiple devices (desktop, laptop, mobile, TV). Then Experimentation.

Modeling 161

Modeling Optimization Marketing Interactive 161

Occam's Razor

MAY 27, 2015

Programmatic advertising is all the rage. Google's Adwords is perhaps the simplest example of programmatic advertising. I love the shift to intent-based targeting (I cannot stress how massively important to the future of advertising and marketing). Our advertising will rain down massive revenues! !" Does Yahoo!

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

AUGUST 13, 2012

That means: All of these metrics are off. If your wish in the second part is to track effectiveness of advertising ( how to determine ROI ) then please see this post: Measuring Incrementality: Controlled Experiments to the Rescue! This is exactly why the Page Value metric (in the past called $index value) was created.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

SEPTEMBER 30, 2013

We'll start with digital at the highest strategic level, which leads us into content marketing, from there it is a quick hop over to the challenge of metrics and silos, followed by a recommendation to optimize for the global maxima, and we end with the last two visuals that cover social investment and social content strategy.

Marketing Analytics 154

Marketing Analytics Marketing Visualization Analytics 154

Occam's Razor

DECEMBER 12, 2016

" I think the answer expected was my view related to the size of the company or their industries or those that might have Google Analytics or those with big advertising spends etc. What one critical metric will help you clearly measure performance for each strategy above? " That lead to this post. You plus Finance plus CMO.].

Analytics 141

Analytics Data-driven Strategy Consulting 141

Domino Data Lab

MAY 8, 2019

If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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 ? Allocate some of your aforementioned 15% budget to experimentation and testing. Fill it with the best web metrics to measure success.

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

OCTOBER 19, 2010

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]. It is silly to ever do a single display advertising campaign (via any company: Atlas, Yahoo!, AnalyzeWords.

Analytics 135

Analytics Testing Measurement Optimization 135

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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

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

Sisense

NOVEMBER 23, 2020

Marketing needs quantitative metrics to justify every dollar they’re spending, the return they’re getting, and the revenue generated, so it’s one of the best examples of why you need a data-driven, evidence-based decision making culture within an organization,” he explains. “For Right tools/open source.

Analytics 98

Analytics Data-driven Marketing Reporting 98

Occam's Razor

MARCH 7, 2016

(Of course, measure that using the four best social media metrics !) There is no doubt that if you do something that catches fire (I refuse to use the v word), these rented platforms can really reach massively move people than you can all by yourself (often, you can't even get that reach with paid advertising). A good one.

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86

O'Reilly on Data

MAY 11, 2020

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. And like a lot of near-future SciFi, it’s remarkably prescient.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190