Chris Norton — Board Advisor / NED / Seasoned CMO / CDO / M&A MarTech Strategy Consultant - Scaling Businesses Globally Through Digital Expansion, Marketing Automation, Proper Data Governance, Process Streamlining & AI Adoption.
Board Advisor / NED / Seasoned CMO / CDO / M&A MarTech Strategy Consultant - Scaling Businesses Globally Through Digital Expansion, Marketing Automation, Proper Data Governance, Process Streamlining & AI Adoption.
Chris Norton ranks #351 of 14,983 LinkedIn creators in Marketing Technology, and is a standout voice in United Kingdom. They have 11.5K followers and published 6 posts in the last 30 days at a 7.4% average engagement rate.
- 11.5K followers
- 6 posts / 30d
- 7.4% avg engagement
- 30 follower growth / 30d
The roast
Chris lists twenty-eight years of experience, but his CV reads like a man who spent three decades trying to remember his own middle name. He claims to have consulted for every brand on earth, which makes sense, because nobody with that much free time has actually done a day of work.
About Chris
Over 22 years professional & 28 personal online & offline marketing experience with a deep understanding of the internet, marketing, technology and how digital transformation can connect products and content with users to fulfill their needs at each stage of their relationship with a brand. Commercially astute, comfortable leading multiple departments comprising 100+ team members, with experience outside my comfort zone into logistics, warehouse & operations management, supply chain, financial services including risk analysis and M&A, customer service & sales. Formerly Global marketing consultant to some of the biggest brands in the world including Lexus, Toyota, General Motors, Volkswagen, Anheuser-Busch InBev (Stella Artois, Becks, Budweiser), Jumeirah Hotels, Atlantis The Palm, Fairmont Hotels, Siemens Enterprises, Dyson, Dreams Beds, Bensons/Steinhoff, Coca Cola, eBay, Umbro, The Co-operative Group, Lloyds Pharmacy, Bridgestone, MTV, BBC, Ofcom, Channel 4, Allianz Insurance, Chill Insurance, Gold Medal Travel, GlaxoSmithKline (Heinz, Ribena, Lucozade & Horlicks), Maplin Electronics, Airline Network (now NetFlights), Persimmon Homes, RIBA, ABTA, HomeForm Group, DFS & Sony BMG and many more. Many more global household names through consultation under Deloitte, Accenture & TCS. Set up my own consultancy business after being Head of Search & Innovation at Dubai based Search & Social Optimisation agency Sekari and previously heading up the SEO department at pan-European integrated advertising & technology agency Amaze based in Manchester, United Kingdom. I have led teams responsible for £100m+ media planning & buying campaigns across all sectors & devised international, multi-lingual search strategies that work hand in hand with SEO, Social Media, Public Relations, Television, Radio and Print campaigns. No stranger to Google, Baidu, Seznam or Naver. Highly analytical data scientist, I have been an international Lead Generation Affiliate Marketer myself for over 20 years & fully understand how to get the most out of Affiliate Relationships. Proven team builder who has built service offerings from scratch at 5 previous agencies. I'm interested in networking and meeting like-minded people so please contact me if you are interested in a different perspective on how you can work smarter to achieve your goals.
Highlights
- Top 5% in Marketing Technology — Ranked #2 of 112 creators
- High Impact — 851 avg engagements per post · top 5%
- Top 5% in United Kingdom — Ranked #37 of 1365 creators
- Top Engager — 7.38% rate · top 5%
Recent posts
A while back I wrote about getting your "(not provided)" keywords back by joining Search Console and GA4 in BigQuery and using Claude to look at the data. That works, you get revenue against each query again, which GA4 alone never shows you. What bugged me was the accuracy. The basic join splits a page's revenue across its queries by click share, which assumes every click on the page converts at the same rate. It doesn't. A "pricing" click and a "what is X" click are worth very different amounts, so the simple version flatters your blog posts and undersells your money pages. So I built a mor
85 reactions · 12 comments · 4 reposts
Every GEO/AI SEO post on my feed is Layer 1 advice. Better content, more schema, tighter accessibility tree. Necessary work, but standard technical SEO our craft has been doing for a decade. Layer 2 is where the actual new ground is. llms.txt, Markdown for Agents, MCP Server Cards, A2A Agent Cards, WebMCP, Content Signals, Web Bot Auth. The 12 protocol-layer files, headers, and endpoints that shape how AI agents discover and interact with your site. I shipped every one of them on my own site to find out what is real, what is hype, and what the actual workflow looks like end to end. Wrot
204 reactions · 61 comments · 21 reposts
𝗚𝗼𝗼𝗴𝗹𝗲 𝗺𝗶𝗴𝗵𝘁 𝗵𝗮𝘃𝗲 𝗷𝘂𝘀𝘁 𝗮𝗱𝗺𝗶𝘁𝘁𝗲𝗱 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄𝘀. 𝗣𝗲𝗼𝗽𝗹𝗲 𝘄𝗲𝗿𝗲𝗻’𝘁 𝗰𝗹𝗶𝗰𝗸𝗶𝗻𝗴. Google just rolled out 5 updates to AI Overviews and AI Mode, all centered around one thing: getting users to click through to publishers, creators, and websites again. (Search Engine Land) What changed? → More inline links directly next to the relevant text → Hover previews of cited sites on desktop → "Explore further" links to deeper content → Better surfacing of your news subscriptions → Attribution for cre
42 reactions · 2 comments · 7 reposts