Wall Street pushes out rate-cut expectations, sees risk they don’t start until March 2025,  Attribution is somewhat unknowable, Meta advertisers claim sales are down and costs are up due to glitchy automated system, and more

Wall Street pushes out rate-cut expectations, sees risk they don’t start until March 2025, Attribution is somewhat unknowable, Meta advertisers claim sales are down and costs are up due to glitchy automated system, and more

In episode #2732, we discuss the Federal Reserve's rate cuts, the challenges faced by advertisers on social media platforms, the use of virtual employees, the importance of building a brand, and the impact of Google updates on websites. Don’t forget to help us grow by subscribing and liking on YouTube! Check out more of Eric’s content (Leveling UP YT) and Neil’s videos (Neil Patel YT) TIME-STAMPED SHOW NOTES: (00:00) Today's topic: Wall Street rate-cut expectations, Meta ad woes, Burger King's rival tactic, SEO tips, & More (01:15) Wall Street rate-cut expectations (03:49) Attribution is somewhat unknowable (05:36) Meta advertisers claim sales are down and costs are up due to glitchy automated system (06:58) Burger king leveraged Mcdonald's for marketing using Rappi (10:20) The explosion of $3.75/hr virtual employees (11:33) Companies are now selecting individuals to be the face of their corporate brand (16:44) How to beat every Google SEO update (20:05) That’s it for today! Don’t forget to rate, review, and subscribe! Go to https://www.marketingschool.io to learn more! Leave Some Feedback: What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review. Connect with Us: Single Grain << Eric’s ad agency NP Digital << Neil’s ad agency X @neilpatel X @ericosiu See omnystudio.com/listener for privacy information.

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24 Heinä 202521min

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In this episode #3009, Eric Siu and Neil Patel discuss the future of hardware companies shifting toward advertising and Apple's current innovation challenges. They explore how monetizing user data cou...

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