Remove Data Collection Remove Experimentation Remove Key Performance Indicator Remove Reference
article thumbnail

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. To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. Online, offline or nonline.

Metrics 156
article thumbnail

Email Marketing: Campaign Analysis, Metrics, Best Practices

Occam's Razor

Most email programs now have preview panes that typically block images and scripts (Outlook, Thunderbird, Gmail, everyone), and default settings prevent data collection due to concerns about viruses. This should drive aggressive experimentation of email content / offers / targeting / every facet by your team. That is okay.

Metrics 137
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

Occam's Razor

so you have some reference as to where each item fits (and this will also make it easier for you to pick tools for the priority order referenced in Context #3 above). Move from a data collection obsession and develop a crush on data analysys. Experimentation and Testing Tools [The "Why" – Part 1]. Three tools.

Analytics 135
article thumbnail

6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.