Pinterest SEO and Visual Discovery
A field guide to Pinterest SEO, visual discovery, Rich Pins, Trends, boards, Pin assets, source pages, and measurement without traffic promises.
Insights Category
Paid Acquisition
31 articles
Technical SEO: Crawling, Indexing and Rendering
A technical SEO diagnostic workflow for crawlability, indexability, rendering, canonicals, structured data, and Search Console checks.
Brand, Positioning & Category Design
Brand or Demand? Where Should the Next Startup Dollar Go?
A founder-oriented guide to brand vs demand generation for startups — reframe the next-dollar decision as a diagnosis of the current GTM bottleneck, not a fixed budget split or fake marketing benchmark. Educational; not legal, tax, accounting, valuation, or investment advice.
Facebook Ads Targeting: Advantage+ or Manual Audiences?
A media buyer’s field guide to choosing Facebook Ads targeting logic without treating Advantage+ or manual audiences as universal winners.
A 30-Day LinkedIn Content Calendar with Template
A practical LinkedIn content calendar for B2B founders and marketers who need a repeatable month plan without treating Depth Score as an official LinkedIn metric.
LinkedIn Thought Leader Ads for B2B
Learn how to sponsor eligible founder, customer, expert, or creator posts through LinkedIn Thought Leader Ads without overclaiming eligibility or performance.
How to Split Meta and Google Ads Budget by Funnel Stage
Use funnel stage, search demand, creative readiness, tracking quality, and landing page fit to decide whether Google, Meta, split testing, or fixing first deserves the next dollar.
TikTok SEO for Search-Led Short Videos
Plan TikTok videos around in-app query intent, not trends alone, with a cautious 4-step social search framework.
Demand Gen on Google Maps: Setup and Testing
A verification-first Demand Gen and Google Maps testing framework for paid acquisition teams evaluating local-intent inventory without fake setup or performance claims.
AI Max, Performance Max or Shopping: Which Campaign When?
This decision framework explains how to evaluate Standard Shopping, Performance Max, and AI Max-related automation with official-source naming checks, feed and tracking readiness, and safer stay-versus-test logic.