P&G data: every role is now part marketing, part engineering. The shortcut nobody mentions — you don't have to code. You have to think in systems. Prompt, orchestrate, automate. That's the actual hybrid skill.

Search volume tells you what people typed. Prompt research tells you what they actually wanted to know. These are not the same thing. #AIMarketing factua.com/blog/prompt-resea…

Most new ad platforms promise reach and deliver excuses. OpenAI built the measurement infrastructure first. That's different. What ChatGPT's product carousels + AppsFlyer integration actually mean for performance budgets: 👇 #PerformanceMarketing factua.com/blog/chatgpt-ads-…

Your Google Ads dashboard says everything is working. Your sales team says the leads are garbage. Both are telling the truth. This is one of the most common (and expensive) disconnects we see in B2B marketing ops: Smart Bidding doing exactly what you told it to do — and that being the problem. When your bidding algorithm learns to maximize form submissions, it gets *very* good at finding form submitters. Students. Competitors. Job seekers. Tire kickers with a Gmail address and nothing better to do on a Tuesday. Google isn't lying to you. It's just optimizing for the signal you gave it. So we wrote about it — what's actually happening under the hood, and how to fix the feedback loop: • Why "conversions" in Google Ads almost never mean "pipeline" • What signals Smart Bidding actually needs to find real buyers • How to close the loop between CRM data and campaign optimization • The ops work that separates teams with full pipelines from teams with full dashboards None of this requires a bigger budget. It requires better signal. Full breakdown here: factua.com/blog/why-your-goo… #GoogleAds #B2BMarketing #PaidSearch #MarketingOps #PerformanceMarketing factua.com/blog/why-your-goo…

LLMs don't recommend brands. They recommend answers. If your landing page doesn't clearly solve the problem a user asked about, all the backlinks in the world won't save you. #AIMarketing factua.com/blog/why-the-word…

Balfour nails it: Pre-AI, data was the exhaust from your channels. Now it's the fuel. If your AI agents are running on CRM chaos and fragmented analytics, the output will match. Data → Channels is the new build order.

Brinker's 'Golden Context' framing (customer + company + systems context unified) is the right goal — but most teams can't activate it because their stack is 3 layers of duct tape. The infra/app boundary collapsing doesn't fix that.

Creative isn't just what you show people. It's how platforms decide *who* to show it to. If your creative team and targeting team still work in silos, you're leaving signal on the table. #MarketingOps factua.com/blog/creative-is-…

Your paid media isn't underperforming at the ad. It's underperforming after it. CPCs, audiences, creative — optimizing the wrong half of the funnel. #PerformanceMarketing factua.com/blog/your-paid-me…

Opus 5 making consultant-quality decks is real. But the bottleneck was never slide formatting — it's the data going in. Garbage pipeline → beautiful garbage deck. This is why data quality work matters more than it used to.

Simon Willison flips the "faster to write it yourself" argument — knowing HOW to do something is exactly when you should delegate execution to an agent. Same logic applies to campaign ops. Deep expertise + AI execution = leverage.

Anthropic's own prompt engineer says Claude Fable 5 is the first model that feels like a collaborator, not a tool. That distinction matters more in agentic workflows than anywhere else — execution is easy to automate. Judgment isn't.

Google Ads looking great. Pipeline looking empty. Those two things are related. #PPC factua.com/blog/why-your-goo…

LLMs don't recommend brands. They recommend answers. If your landing page doesn't clearly solve the problem someone asked about, no amount of backlinks saves you. #AIMarketing factua.com/blog/why-the-word…

swyx is right and almost no one is doing this yet. A weekly AI research loop on your own SEO/AEO gaps costs ~$0 and 20 minutes to wire up. The teams treating it as a recurring agent task are quietly lapping everyone else.

The 'tool → collaborator' shift Alex describes is real, and it changes how you design workflows. You stop writing prompts and start setting context. Human-in-the-loop looks very different when the model is pushing back with good ideas.

78% of marketing leaders say their martech stack doesn't support their goals. They don't need another tool. They need to actually use what they have. The activation gap is your real problem. factua.com/blog/the-activati…

Databricks CTO benchmarked coding agents on real internal tasks — open-source models are genuinely competitive now. Same thing we're seeing in marketing automation: the model selection conversation has shifted from 'which is best' to 'which fits your cost/latency/compliance box.'

Databricks CTO benchmarked coding agents on real internal tasks — open-source models are genuinely competitive now. Same thing we're seeing in marketing automation pipelines. 'Best model' matters less than eval rigor.

Reading martech M&A as financial news is like reading a construction permit as real estate gossip. The AI-native, post-cookie stack is being physically assembled right now — deal by deal. #MarTech factua.com/blog/the-martech-…