Practical thinking on AI, marketing, and growth. No fluff.
The professional landscape in 2026 has moved from simple chatbots to specialised AI agents operating in coordinated stacks. Here is how the modern AI growth stack is structured and which tools have earned a permanent place.
Google's AI Max for Search now drives an average 19% more conversions than campaigns without it, and AI-generated voice-over rolled out automatically to Performance Max video ads in March 2026. Here is the complete picture of how Google Ads works in 2026 and how to direct the automation effectively.
n8n's community now hosts over 2,650 marketing automation workflow templates, and advanced AI agent workflows are documented to boost team productivity by 40%. Here is the state of autonomous AI agents in marketing in 2026 and the tools driving the most real-world use.
65% of marketing job postings now list AI proficiency as required or preferred. Roles centred on strategic AI direction grew 38% in 2025. Here is where the real career opportunities are in 2026.
Agentic AI spending reached $201.9 billion in 2026, and 40% of enterprise applications now embed AI agents. Here is what autonomous marketing agents can actually do today and how early adopters are using them.
Meta's Andromeda retrieval system delivers a 10,000x increase in model capacity and an 8% improvement in ad quality — and it runs before a human audience setting is ever applied. Here is how Meta's full AI advertising stack works in 2026 and what it means for your campaigns.
65% of marketing teams now have designated AI roles, and teams using AI agents for GTM execution are compressing launch cycles by 40% or more. Here is where product marketing stands in 2026.
By 2026, no-code AI tools have matured to the point where a marketing specialist can run customer segmentation, set up lead scoring, and deploy automated nurture sequences without writing a single line of code. Here is what changed and the tools leading the shift.
Organic CTR dropped 61% for queries with an AI Overview, and 60% of all searches now end without a click. Here is what actually happened to organic traffic in 2026 and what content formats are still winning.
Eight in ten marketers using generative AI for ad creative report measurable ROI, and teams using AI-assisted workflows produce up to 50 headline variants in the time it previously took to write one. Here is the state of AI creative for performance marketing in 2026.
AI-savvy marketers are seeing 20-30% salary hikes in 2026 according to Robert Half's salary survey. Here are the specific skills showing up in job postings and how to demonstrate them.
Top-performing PLG companies now achieve 65%+ activation rates with time-to-value under five minutes, powered by AI onboarding. Here is what AI-powered PLG looks like in 2026 and the hybrid sales models winning right now.
Automated AI email sequences now achieve an average open rate of 48.57% versus 25.2% for manual campaigns, and AI personalisation drives a 41% average revenue increase compared to non-AI sends. Here is what changed in email marketing automation in 2026.
AI agents now refresh battlecards from six weeks to under 48 hours. Here is how product marketers are running always-on competitive intelligence in 2026 using tools like Klue, Crayon, and custom GPT-4o pipelines.
Third-party cookies are gone across all major browsers, and contextual ads now perform within 5 to 8 percentage points of behavioural targeting on click-through rates according to 2025 DoubleVerify and IAS research. Here is what replaced cookies and how AI targeting is performing in 2026.
AI-generated video ads are converting 27% higher than static image campaigns. With Sora 2, Runway, Kling, and HeyGen maturing in 2026, here is how brands are using AI video — and where human production still wins.
HubSpot Breeze now defaults to GPT-5 and Salesforce Agentforce supports autonomous lead capture and deep account research powered by the Atlas Reasoning Engine. Here is how CRMs evolved into AI-driven operating layers in 2026.
With 14,000+ martech tools now on the market, tool selection is a career decision. Here is which AI marketing tools are becoming table-stakes, which offer a genuine advantage, and which are overhyped in 2026.
Runner AI launched the first AI-native always-on experimentation engine in January 2026. Multi-armed bandit algorithms are replacing fixed A/B tests, and automated winner deployment is cutting experiment cycle times by 40%. Here is what growth teams look like now.
AI has automated large portions of the execution layer at performance marketing agencies, shifting pricing from billable hours toward performance-based and usage-driven models. Here is what changed, what to look for when hiring an agency in 2026, and how to evaluate genuine AI capability.
AI agents are taking over GTM workflows in 2026 — from automated launch checklists to AI-generated sales enablement and real-time win-loss synthesis. Here is what the AI-native GTM looks like now.
90.3% of marketing organisations now use AI agents somewhere in their martech stack, and AI-native stacks require prompt engineering, model evaluation, and agent oversight skills that most marketing ops teams did not have 18 months ago. Here is how the role evolved and what the modern marketing ops function looks like.
86% of marketers report ChatGPT as the most effective AI tool they use. With GPT-4o, Operator, and the full OpenAI platform maturing in 2026, here are the practical use cases that are driving real results.
Remote marketers using AI tools report 31% higher productivity than office peers. In 2026, the gap between AI-enabled and non-AI-enabled remote marketers has become a career differentiator.
79% of B2B marketers expect budget increases in 2026, with most of that incremental spend going to AI and intent data infrastructure. Companies using intent signals see 35% higher conversion rates. Here is the full picture of B2B demand gen right now.
Product teams using AI for pre-launch research validation are hitting first-quarter revenue targets 40% more often than those without it. Here is what the AI-assisted product launch looks like in 2026.
AI personalisation now enables millions of micro-variants in a single send — and one brand saw return on ad spend rise 19% with better downstream conversion. Here is how the technology behind it works in 2026.
Companies restructuring around AI-first marketing see 3.4x higher output per person than traditional teams. Here is how leading companies are building and organising marketing teams in 2026.
QuadSci's churn prediction model achieves 94% accuracy up to 18 months before renewal, and AI-powered involuntary churn recovery delivers 2-4x better results than traditional dunning. Here are the retention patterns that are working in SaaS in 2026.
AI now synthesises 500 customer interviews in the time a human analyst processes 20. Here is how product marketers are using AI to mine reviews, support tickets, and interview transcripts in 2026.
Smart Bidding improves conversion rates by an average of 20% versus manual bidding. But automation only performs as well as the strategic inputs you provide. Here is how to direct it effectively.
Marketing teams using AI-driven automation (not rule-based) see 3.4x more triggered revenue per workflow. Here is the practical guide to building automation that learns and adapts.
Growth teams using AI for experiment design run 3x more tests per quarter than those using manual processes. Here are the specific AI-powered tactics driving the biggest gains right now.
Most positioning projects take 6-8 weeks. With AI handling competitive analysis and messaging iteration, the same quality work takes 10 days. Here is the process.
Performance Max delivers ads across all Google channels from a single campaign. Advertisers who structure PMax correctly with strong audience signals see 18% lower CPA than poorly structured campaigns.
PLG companies using AI for onboarding personalisation improve 30-day activation rates by an average of 28%. Here is how AI enhances every stage of the PLG motion.
CRMs enriched with AI automation surface 3x more qualified opportunities than unautomated systems. Here is how to set up AI-powered enrichment, follow-up triggers, and revenue alerts.
AI processes competitor data 10x faster than manual methods — and monitors pricing, messaging, and product changes continuously. Here is how to build that system.
Meta's Advantage+ campaigns use AI to handle targeting, placements, and bidding automatically. Advertisers using Advantage+ Shopping see 22% lower cost per purchase on average, but setup still requires strategic thinking.
AI-powered CRO tools identify winning test hypotheses 60% faster than manual heuristic analysis. Here is the full AI-assisted CRO workflow from heatmaps to personalisation.
Products with AI-assisted pre-launch research hit first-quarter revenue targets 35% more often. Here is the full workflow from research to post-launch analysis.
Companies running AI-assisted creative testing see 35% higher ROAS from paid campaigns. Here is the systematic approach to generating, testing, and scaling winning creative using AI.
A practical walkthrough of the AI-assisted marketing workflow I use every day. From brief to execution-ready plan in a fraction of the time.
Companies using machine learning lead scoring see 28% higher conversion rates from MQL to SQL. Here is how AI lead scoring works and how to build a model that connects to your sales motion.
AI synthesises 100 customer interviews in the time a human analyst takes to process 10. Here is how to use it for survey analysis, interview synthesis, and review mining.
Advertisers using AI-powered audience targeting reduce cost per acquisition by 23% on average. Here is how AI is improving every stage of paid and organic user acquisition.
AI reduces content production costs by up to 60% while increasing output 3-5x. Here is the four-layer system for topic research, planning, brief creation, and performance optimisation.
Data-driven attribution redistributes 40% of conversion credit compared to last-click models. Here is how AI attribution works, how to set it up, and what it means for your budget decisions.
Companies with a documented messaging framework convert prospects at 2.8x the rate of those without one. AI compresses the build time from weeks to days.
Companies with documented growth loops grow 2-4x faster than those relying on linear acquisition funnels. AI makes it faster to identify, design, and optimise loops that compound.
Only 42% of product teams can confidently say they've achieved PMF before scaling. AI tools now make PMF signal detection — NPS patterns, retention curves, support tickets — faster and more reliable.
AI-personalised email campaigns generate 41% higher click-through rates than broadcast sends. Here is how to apply AI across segmentation, copy, send timing, and subject line testing.
Marketing teams spend 5.7 hours per week on manual reporting. AI automation reduces this to under 30 minutes. Here is the exact system to build self-updating reports that flag anomalies automatically.
Sales teams with AI-assisted enablement materials close 28% more deals. Here is how product marketers use AI to create battle cards, objection guides, and case studies that sales actually uses.
Claude Code is not just another chat interface. It is a programmable AI tool you extend with specialised skill files. Here is what it is and how marketers can use it.
A 5% improvement in retention increases profit by 25-95% for subscription businesses. AI-powered churn prediction models identify at-risk users 45 days before they leave.
AI chatbots increase qualified pipeline by 55% without adding SDR headcount when used for lead qualification. Here is how modern conversational AI works across the full marketing funnel.
Marketers using AI for social content production publish 4.3x more content without increasing headcount. Here is how to use AI for ideation, drafting, scheduling, and analytics interpretation.
Companies with systematic win-loss programs improve win rates by 14% within 12 months. AI makes it possible to run this analysis continuously rather than as an occasional project.
Brands using AI for audience targeting, creative optimisation, and landing page personalisation reduce CAC by 23-31% within 90 days. Here is the step-by-step approach.
Product teams using AI to synthesise customer feedback before roadmap planning make decisions scoring 23% higher on satisfaction metrics. Here is the methodology.
Behavioural email sequences triggered by AI outperform batch-and-blast campaigns by 324% in revenue per email. Here is how to build sequences that feel personal at scale.
AI-assisted test design reduces the time from hypothesis to statistical significance by 40%. Here is how to apply AI across the full testing lifecycle from idea generation to rollout.
Data-driven GTM companies are 2.6x more likely to hit first-year revenue targets. AI makes that planning rigour accessible to lean teams without dedicated research functions.
AI can draft marketing copy in seconds, but 73% of AI-generated copy requires significant editing before it is usable. Here is how to close that gap with better prompts and review workflows.
Machine learning bid strategies outperform manual bidding in 78% of campaigns after a 30-day learning period. Here is how automated bidding works and how to direct it strategically.
Most growth dashboards measure output, not insight. AI-first growth teams track 40% fewer metrics but act on them 3x faster. Here is the metric framework that drives decisions.
Marketers with AI proficiency earn 23% more than peers without it, and AI marketing job postings grew 76% in 2024. Here are the specific skills driving that premium and how to build them.
Marketers using AI for social media automation publish 4.3x more content — but the 12% who automate engagement see 34% lower follower trust scores. Here is what to automate and what to keep human.
Most AI-generated marketing content is not good because the prompts are not good. Here is a practical framework for writing prompts that produce reliable, usable output.
72% of self-described AI-first marketers complete the same volume of work in half the time. The transition doesn't require a technical background — it requires a specific starting approach.
Products with a viral coefficient above 1 grow exponentially without paid acquisition. AI now makes it possible to model, test, and optimise viral mechanics systematically rather than by intuition.
Programmatic now accounts for 91% of all digital display ad spend. AI has fundamentally changed how DSPs optimise, how contextual targeting works, and how brand safety is enforced.
84% of marketing hiring managers look for AI skills in 2025, but fewer than 20% can identify genuine AI proficiency from a resume alone. Here is what your portfolio needs to show.
Content that is systematically distributed across 5+ channels gets 15x more reach than content published on one platform. AI makes that distribution achievable without a full-time coordinator.
AI synthesises customer data 10x faster than manual methods and identifies patterns human analysts consistently miss. Here is how to apply it to persona building, segmentation, and insight generation.
26% of marketing task volume will be automated by 2027 — but roles requiring AI collaboration will grow 38% in the same period. Here is what that means for your career.
SaaS companies using AI for trial-to-paid conversion optimisation see an average 31% improvement in conversion rates. Here is the full AI-powered growth stack for SaaS in 2025.
AI-personalised landing pages convert 202% better than generic pages. Here is how to use AI for headline testing, dynamic personalisation, form optimisation, and page speed improvements.
Freelance marketers using AI complete 2.4x more deliverables per week. Here is how to use that output leverage to take on more clients, price competitively, and maintain quality.
Brands using AI to automate customer journey touchpoints see 54% higher revenue contribution from marketing. Here is how to map your journey, identify automation opportunities, and measure the impact.
Marketing teams spend an average of 5.7 hours per week on reporting. AI-automated reporting reduces this to under 30 minutes while surfacing anomalies human analysts consistently miss.
Marketing teams with structured AI upskilling programs achieve 41% higher output in 90 days versus 12% for unstructured adoption. Here is what the structured approach looks like.
AI Overviews now appear in 49% of Google searches and organic CTR has dropped 61% for those queries. Here is what is actually happening and what to do about it.
Only 34% of AI marketing job postings specify which certifications they want. Most employers evaluate AI skills through portfolio evidence — here is how to choose certifications strategically.
Remote marketers using AI tools report 31% higher productivity than peers without AI assistance. Here is how AI solves the core challenges of remote work: async overhead, documentation, and reporting.
Marketers with verified AI skills earn 23% more than peers in equivalent roles — up to 31% for senior positions. Here is the salary data by role and how to negotiate the premium.
Professionals publishing AI-assisted thought leadership consistently see 4.2x higher profile view growth. Here is how to build authority authentically when AI helps you create content.
Small marketing teams can effectively double their output by automating the right tasks. Here is the practical approach I use for reporting, briefing, and content production.
An honest account of the AI tools that have earned a permanent place in my workflow, the ones I dropped, and why the difference matters.