Marketing Automation AI Marketing Feed (Page 25) - yfx(marketer)
What is the Marketing Automation feed? The Marketing Automation feed is a curated repository of AI marketing links and workflows (Page 25). It provides operators with targeted tactics and strategies to optimize their tech stack.
// filter(tags) Marketing Automation (66)
What is the Marketing Automation feed? The Marketing Automation feed is a curated repository of AI marketing links and workflows (Page 25). It provides operators with targeted tactics and strategies to optimize their tech stack.
66 links (last 90d) · 144 links (all-time)
// january_2026 (1)
2026-01-03
5 Marketing automation trends in 2026: This time, AI is better
Highest rated content by Birdeye Read time: 6 minutes · Marketing Automation
Score: +4270
Rate (750+ locations, 2,500 loan officers) automated review workflows with Birdeye AI: 12% review frequency increase, 3,800 reviews collected in 10 months, 4.9-star average maintained. GreenEarth Cleaning (230 franchises) centralized social publishing with AI content generation: 833% reach increase (1.9M impressions), 1,687% engagement surge (85.9K engagements), 29.4K link clicks driving business. Five 2026 automation tactics: monitor brand visibility in AI search engines (ChatGPT, Gemini, Perplexity), deploy review generation agents at peak emotional moments, automate listings accuracy across 50-200+ directories, use predictive sentiment analysis to catch issues pre-escalation, generate location-specific social content at proven engagement times. Impact: Multi-location brands automate reputation and reach at scale without sacrificing quality.
// december_2025 (1)
2025-12-30
AI Agents Move from Marketing Tool to Infrastructure: Agentic AI Market Hits $7.55B in 2025
by Demand Gen Report Read time: 6 minutes · AI Agents
Score: +3720
Juniper Research: AI-automated customer interactions will grow from 3.3B (2025) to 34B (2027). 6sense and Salesloft launched AI agents for personalized emails and sales workflows. Slack data: daily AI usage up 233% in six months. Workers using AI daily are 64% more productive. Three agent types dominating: Listener (monitors calls), Researcher (compiles intel), Executor (runs sequences). Model Context Protocol (MCP) enables rapid enterprise deployment.