Strategy AI Marketing Feed - yfx(marketer)

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Strategy (1)

Strategy AI Marketing Feed - yfx(marketer)

What is the Strategy feed? The Strategy feed is a curated repository of AI marketing links and workflows. It provides operators with targeted tactics and strategies to optimize their tech stack.

1 links (last 90d) · 9 links (all-time)

// september_2026 (1)

2026-09-13

The GTM Strategy Playbook: Launch, Scale, and Dominate

Highest rated content by Salesforce Read time: 4 minutes · Marketing
Score: +3000
Salesforce emphasizes that companies with exceptional products fail regularly due to a lack of a clear go-to-market (GTM) strategy. Data: Research shows poor GTM execution is a common failure point. Tactic: Develop a robust GTM strategy to ensure product success and market penetration.

// january_2026 (4)

2026-01-12

Community Consensus: Blocking AI Crawlers Kills High-Intent Traffic

by r/marketing Read time: 4 minutes · Marketing
Score: +3500
A r/marketing analysis highlights that blocking AI crawlers (robots.txt) severs a high-intent channel, with one case showing AI referrals converting at 4.4x the rate of organic search. Tactical implication: Audit robots.txt immediately to whitelist OAI-SearchBot, Google-Extended, and Applebot-Extended, treating them as 'high-value affiliates' rather than scrapers.

2026-01-11

Eight Software Markets AI That Will Transform Differently

by Dave Griffith Read time: 8 minutes · Strategy
Score: +2520
Dave Griffith argues AI coding tools trigger Jevons Paradox (efficiency increases consumption) strongly in internal tools and gaming, but weakly in Enterprise SaaS. While 25% of YCombinator startups now generate >95% of code with agents, regulated sectors face inelastic demand. Tactical implication: Shift engineering resources from maintenance of internal tools to rapid prototyping of disposable apps.

2026-01-09

3 incrementality testing mistakes — and how to avoid them

Highest rated content by Tom Leonard Read time: 7 minutes · Measurement
Score: +3580
Incrementality testing fails when treated as a verdict rather than a loop. Tom Leonard argues that a 1% lift is meaningless unless translated into incremental CPA or ROAS. Tactical implication: Define a decision tree before testing (e.g., "if iROAS < 2.0, we cut spend") to force action over observation.

2026-01-05

CMOs Are Cutting Tools, Not AI

by Digiday Read time: 4 minutes · Marketing
Score: +1800
[Digiday] highlights CMOs' shift towards consolidating MarTech stacks by replacing point solutions with AI-native platforms. Strategy: Audit tools by outcomes, not features. Action: Remove tools used less than 20% of the time.
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