Lessons From InsureTech Connect
InsureTech Connect is the world’s largest gathering of insurance leaders and innovators, and I had the opportunity to join more than 7,000 of the leading minds in insurance innovation and digital
Data Privacy Regulations Are an Opportunity For More Personalized Marketing
I recently had the pleasure of joining DMCNY for The Emerging Role of Ethical Data Governance: What’s New and Concerning in Data Privacy.This panel focused on future of data legislation and best
Analytics for Acquisition: How to Build a Predictive Model
Modern marketers often frame their role as developing customer-centric marketing strategies to maximize some metric of importance, such as response rates, ROI, or cost per acquisition (CPA).
Five Tips to Maximize Direct Mail Response
I spend a lot of time talking with smart marketers about the power of direct mail. The thing is: When planned and executed well, direct mail can be an extremely powerful customer acquisition tool.
Four Takeaways from ANA Data & Measurement
We recently had the pleasure of attending the ANA 2019 Data & Measurement Conference Presented by Google.
Speedeon Welcomes Bruce Biegel, Senior Industry Executive to its Board of Advisors
Speedeon, a leading direct marketing and data solutions provider, has appointed Bruce Biegel to the company’s board of advisors.
What Makes a Good Direct Mail CTA?
Among experienced direct marketing professionals, effective direct mail campaigns are comprised of three main components:
Volunteering In Our Community
Speedeon Data Employees Volunteer Around Town This August This August, Speedeon has been busy bring our core values into our community.
Insights on B2B Lead Generation from The ANA
I recently joined fellow marketing colleagues at a meeting of the Midwest Chapter of the ANA B2B Committee in Chicago. The focus of this meeting was on lead generation, and we enjoyed brainstorming solutions to the customer acquisition problems marketers face every day.
Deep Dive Into Analytics: How to Build a Predictive Model
Modern marketers often frame their role as developing customer-centric marketing strategies to maximize some metric of importance, such as response rates, ROI, or cost per acquisition (CPA). Predictive models are analytical tools that provide us a formal way for maximizing (or minimizing) those metrics. This post is Part II in a series offering a deep dive into how predictive models are developed and can be used in new customer acquisition. You can read Part I here.