
Dwight Davis
SEO Specialist Former Global SEO Lead, IBM
Kompetenzen

Meine Dienstleistungen


Portfolio
Arbeitserfahrung
Founder & Principal Consultant - Dwight Davis Consulting LLC
Self Employed
Jun 2024 - Present • 2 yrs 2 mos
I build and run programmatic SEO systems, for clients and for my own properties. Typical work: generating hundreds of location, service, and industry pages from a single structured dataset, with unique content per page, internal linking, schema markup, and titles and meta generated at build time rather than spun from a template. I handle the data modeling, the content generation, the QA pass that catches thin and duplicate pages before they publish, and the import into WordPress or Next.js. I also run my own network of programmatic sites, which is where this gets tested before it goes near a client build.
Group Manager, Marketing Innovation & Strategy
Intuit • Vollzeit
Jan 2017 - Jun 2024 • 7 yrs 5 mos
Seven years across acquisition and integrated marketing for QuickBooks, progressing from digital lead on the TSheets acquisition to Group Manager. Founded and led Intuit's first Integrated Marketing organization, directing $256M+ in working budget across the company's largest launches, including its first QuickBooks Super Bowl campaign. Earlier, led acquisition marketing for QuickBooks Time and Payroll, exceeding new-trial MQL goals by 105% and MRR goals by 101%, and drove 196% trial growth as digital lead on a $350M acquisition. Relevant here because it is where I learned to tie search and content investment to revenue, not just to rankings.
Lead, Worldwide Analytics, Search & Optimization
IBM • Freiberufler
Jan 2015 - Jan 2017 • 2 yrs
Led global SEO and analytics across IBM.com business units. Organic search drove roughly 65% of IBM.com traffic. The work was technical SEO at very large scale: crawl and indexation management across a vast URL footprint, structured data, site architecture, international and multi-language search, and the analytics layer used to measure all of it. Also led search for an enterprise client, a global luxury retailer, taking it to number one visibility against its largest worldwide competitors. This is where I learned that ranking at scale is a data and architecture problem, not a content-volume problem.