Dan Konig

Web Analytics Manager at Connection | Adobe Analytics, GA4, GTM | B2B Measurement Architecture & AI-Assisted Tooling

Francestown, New Hampshire, United States

About

Highly motivated, creative and versatile online/web marketing professional and data analyst with over 25 years of industry experience. Successful in search engine marketing (SEM/PPC) and search engine optimization (SEO). Experienced at integrating direct marketing efforts with online initiatives and tracking those results with analytics. Possesses a deep understanding of website usability and conversion optimization and its relation to company goals. A relentless problem solver.

Experience

  • Web Analytics Manager | Digital Marketing at Connection
    Jan 2020 - Present · 6 yrs 7 mos

    Managed all marketing and e-commerce analytics. Worked with stakeholders throughout the company to get the data they need and provided feedback/analysis of that data. Developed custom solutions to marketing challenges.

  • Owner & Chief Digital Marketing Consultant | SEM | Analytics at Creative Town Marketing and Analytics
    Jul 2011 - Present · 15 yrs 1 mo

    Worked with a wide variety of clients from the tech industry to e-commerce to law where I applied over 20 years of marketing and analytics experience to improve their marketing efforts on various levels such as website design and organization, paid search campaigns, and social media.

  • Director Marketing Analytics and Search at Seamless.AI
    Aug 2019 - Oct 2019 · 3 mos

    Responsible for taking paid search to the next level and implementing and utilizing analytics across all marketing channels.

  • Data Science Consultant at Unum
    Nov 2018 - May 2019 · 7 mos

    Built an email triage system using NLP, and other statistical methods, to accurately route emails to the correct departments reducing number of touches and increasing efficiencies.

  • Data Science Consultant at Martin's Point Health Care
    Oct 2018 - May 2019 · 8 mos

    Utilized machine learning and descriptive statistics to discover and highlight high cost members and identify potential flags and areas for savings