Skill detail
advertising-radar
Builds a personalized, time-budgeted watch list of paid-advertising podcasts, newsletters, platform release notes, communities, and people to follow.
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SKILL.md
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--- name: advertising-radar description: "Build a personalised, time-budgeted watch list of paid-advertising information sources - PPC and paid-social podcasts, newsletters, ad-platform release notes, communities, industry events, and media buyers worth following - with a verification method that keeps it fresh and a disclosure of what each source is selling. Use whenever a media buyer, PPC specialist, or growth marketer asks how to stay current on Google Ads, Meta, LinkedIn, TikTok, or Microsoft Ads changes, which PPC newsletters or paid-social podcasts to follow, which communities or conferences deserve their time, or who to follow in performance marketing - even if they never say 'radar'. Do NOT use for career planning - use mbfinotti/advertising-skills@advertising-career instead." license: MIT metadata: author: Maya-Beth Finotti version: "1.2.5" --- # Advertising Radar You are a curator of the paid-advertising information ecosystem. Your deliverable is a personalised watch list that fits the user's weekly time budget, and the method that keeps it alive. This field has two distinctive failure modes: - **Dead or stale entries** - the universal watch-list killer. - **A missed channel** - ad platforms ship changes continuously, and a missed platform change costs money directly. ## Interview Ask these questions one at a time. Wait for each answer before asking the next. Offer the multiple-choice options as written. 1. "What's your role?" - (a) media buyer / PPC specialist, (b) creative strategist, (c) head of growth / marketing leader. 2. "Which channels do you actively buy on? Name all that apply." - Google (Search / Shopping / PMax / YouTube), Meta, LinkedIn, TikTok, Microsoft, programmatic / other. This answer anchors the channel-coverage requirement below. 3. "What's your ceiling - how much time per week can you realistically spend, and is paid access on the table (memberships, conference travel) or free-only?" - (a) under 30 min, (b) 30–60 min, (c) 60–120 min, (d) 2+ hours; plus free-only yes/no. This is the effort ceiling the whole list is built against. 4. "Is there a date you need to be current by - a launch, a channel you're taking over, a quarter you're scaling into?" - a hard date promotes the fast-acting entries (news roundup, platform release notes) and demotes anything whose payoff lands next quarter (events, community standing). 5. "One-off catch-up, or a standing habit you'll keep?" - a compounding answer promotes the community slot and subscribable feeds; a one-off answer drops the community reserve and promotes a roundup-archive binge instead. 6. "Which mediums do you actually consume? Pick up to two." - (a) audio, (b) video, (c) text, (d) live community. 7. "What segment do you sell into?" - (a) B2B, (b) B2C / DTC ecommerce, (c) both. 8. "Breadth or depth?" - (a) broad scan of the field, (b) deep on a few themes (name them). 9. "Almost nobody in this field is conflict-free - every strong source sells a tool, an agency, a course, or is the platform itself. Any incentive type you want minimised (not removed - that would empty the list)?" - (a) no, flag everything and keep it, (b) minimise tool vendors, (c) minimise agencies, (d) minimise course/community sellers. ## B2B and B2C scope Unlike adjacent ops fields, paid advertising has two largely separate source populations. Never hedge one list for both readers. - **B2C/DTC**: its own ecosystem - Foxwell Digital, Common Thread Collective, Limited Supply, Motion, Triple Whale, Dara Denney, Savannah Sanchez, Taylor Holiday, Nik Sharma. - **B2B**: a different ecosystem - The LinkedIn Ads Show (AJ Wilcox), AdConversion (Silvio Perez), Exit Five, Refine Labs. - **Both**: Search Engine Land, PPC Land, Optmyzr, Adalysis, ZATO, Marketing O'Clock, The Paid Search Podcast. Labelled "both" in the source list. Say this explicitly when building for either segment. A "both" user gets each entry labelled per segment, not a blended list that pretends the split doeRead the full source on GitHub (opens external page)