Specialists in search, social, creative, retail media and measurement. Discover their expertise, read their work and find people you want to learn from.
THE WOMEN TO FOLLOW EDIT
Learn from the work.
Practical knowledge, original thinking and specialist experience. The expertise tags and Why follow notes help you find relevant work, without implying a ranking or a single definition of success.
Juliana Jackson is an enterprise strategist at Jellyfish whose work connects AI, data science and digital experience. She writes Beyond the Mean and hosts the Standard Deviation Podcast, examining marketing measurement, experimentation and organisational decision-making. Her recent writing explores creative intelligence: how teams can understand the contribution of individual creative components and use that knowledge to improve advertising decisions.
Why follow
Think more carefully about creative measurement, experiments and what campaign data can support.
GROW THIS WITH YOUR PEERS
Who do you learn from?
We invite each woman featured here to nominate up to three other women whose paid-media work she knows and values. Share a public example and explain their expertise. Our aim is to grow towards 100, with peer recommendations helping shape who is featured next.
This is an invitation, not a task or a popularity contest. One thoughtful recommendation is welcome. Every suggestion is checked for relevant work, duplicate profiles and the nominee’s wishes before inclusion. A nomination earns no points and does not publish a profile automatically.
This collection starts with 50 existing PMC contributor profiles, selected for public paid-media work. It is alphabetical and unranked. It is not exhaustive. Inclusion recognises public work; it does not imply membership, profile ownership or endorsement of PMC.
Specialist expertise, useful published work and peer recommendations guide editorial review. Nominations are starting points for research, not votes. No points or ranked positions are attached to this collection. Existing contribution scores and positions remain separate in the main leaderboard.
People should be comfortable with how they are represented. Featured practitioners can request a correction, choose how they are described, or ask to leave the collection. We do not infer someone’s identity from a name or photograph, and nominations do not override their wishes.
Original selection reviewed 16 October 2026. Profiles retain their existing photographs, professional sources, contributions and claim status.
