Ryan Markman (@ryanmarkman) 's Twitter Profile
Ryan Markman

@ryanmarkman

Working on something new | COO Metric Digital (acquired by @wpromote) | @hellometric | @bainandcompany

ID: 220596640

calendar_today28-11-2010 07:38:52

55 Tweet

113 Followers

160 Following

Ryan Markman (@ryanmarkman) 's Twitter Profile Photo

Facebook is moving default attribution from 28 days post ad click to 7 days post ad click. Win for performance transparency; FB is going to claim they are driving fewer sales than before facebook.com/business/help/…

Chris Toy (@christoy) 's Twitter Profile Photo

Weird how often I get asked by founders and marketers β€œDoes (marketing channel) work?” Yes. It all works. The variable is you.

Simon Poulton πŸ™ (@spoulton) 's Twitter Profile Photo

Sooo Private Click Measurement is about to hit Safari (maybe tomorrow?) and almost no one in the digital marketing world seems to be aware of this and the massive impact it will have.

Ben Parr (@benparr) 's Twitter Profile Photo

🚨 BREAKING AI News: ChatGPT plugins are HERE. It extends the capabilities of ChatGPT by leaps and bounds. Some of the first plugins: πŸ”΅ Shopify πŸ”΅ Instacart πŸ”΅ Zapier πŸ”΅ OpenTable πŸ”΅ Wolfram πŸ”΅ Kayak & Expedia

Ryan Markman (@ryanmarkman) 's Twitter Profile Photo

Don't write off using AI for a particular task without giving feedback and asking for a new version. Instead of looking at the output and saying "this sucks" to yourself, tell ChatGPT exactly what it got wrong. Most of the time, the next version will be WAY better.

Ryan Markman (@ryanmarkman) 's Twitter Profile Photo

GPT4 or Claude > task-specific AI tools Task-specific tools like Jasper or Copy AI don't let you fully dictate your prompts. If you're a subject-matter expert, you'll want more control, not less, over prompting. Also, they're incentivized to use cheaper (worse-performing) models

Ryan Markman (@ryanmarkman) 's Twitter Profile Photo

For most enterprises not named Microsoft, driving adoption for Gen AI features and products has been tough. Salesforce is a good example - despite aggressive spending on AI, their Q2 financials showed little revenue boost. Building truly useful AI is hard, even for incumbents