Jeremy Kleiber’s Post

Humans are wired to process signals and seek more observations. For example: Restaurant A = ⭐5.0 (4 Reviews) or Restaurant B = ⭐4.7 (146 Reviews) Which one are you going to for dinner tonight? What if I told you both restaurants have been open for a year? If you answered "A" (to either), you aren't allowed to make reservations anymore. Relax, I know. You might be a Michelin inspector—in which case, fine. But for everyone else, you probably processed that signal in less than a second and decided that even with a lower score, the number of observations makes it very difficult to have that high of a rating. You also know that if it's been open for a full year (another data point to process), it's even more important to choose "B." Data strategists' mantra is more observations, not less. More data points equate to more reliable conclusions or better potential to identify anomalies. Now, look at Search Generative Experience (SGE) from Google. A recent study says that when users enable SGE (in Google Labs), the SGE provides answers to 87% of the search queries. That's compelling. But what's even more compelling is the inverse! The inverse says that only 13% of the time, the search system says, "You know what? Let's show them the classic Google Search Results Page (SERP). Why? Because users are craving answers, not links. So, which data should the AI choose to answer your question with? Remember, Google (and OpenAI and Anthropic) is run by data scientists, who will always choose to make more data observations than less. In the next few years, there will be immense pressure to process objective signals at scale to ensure accuracy. The future is about answers, not links, and likely not ads, either — at least for branded, objective questions. What if GPT-5 launched with full, real-time web access, no ads, and very few errors for objective questions? How quickly would you change your Search behavior? (Lastly, don't bet against Google. They could quickly launch their own version of New Search and they have all the data to do it magnificently.)

We are all moving from Ads to Offers soon. No business is better positioned than Google to make personalized offers based on AI chat merging into Search. Had an insightful chat with Jamie Adams, CRO at Scorpion and host of the Franchise Edge podcast. We agreed that no company is better positioned than Google to provide personalized offers based on chat interactions, offering a user-friendly experience without intrusive ads. ▫️ Google can tailor offers based on AI chat interactions ▫️ This new approach avoids invasive ad tracking (bye-bye Cookies!) ▫️ Personalized offers empower business owners and still improve the consumer experience It was a great discussion (below.) As AI improves, the opportunity for thoughtful dialogues with AI to recommend offers stored in a brand's knowledge graph or content system becomes evident. Eager to dive deep into how getting offers out to the long tail for most businesses is the real opportunity? Read 'The Long Tail' by Anderson (2006). It explains the significance of niche markets in the internet era, like Google's approach to personalized AI chat-based offers.

𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐯𝐬 𝐡𝐨𝐰 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞⁉️ Would you agree to the term „we need it fast & good but also…cheap?“. Does technology lead automation that we only can pick two? How has technology improved the skills of soving projects? Thoughts?💭 Via Jake Hall Source The Manufacturing Millennial Original post by Jake https://lnkd.in/eR8vzgyu #automation Florian Palatini #engineering Paulo Fernando Silvestre Jr. #industrie40 Alexis Thobellem

Forget about running #GoogleAds unless you’re willing to do these 5 things: 1) Spend money. Ultra small ad budgets almost never cut it. Google Ads is an auction where you compete. Relying on really small budgets is like bringing a knife to a gunfight. 2) Give it time. 3 days, 1 week, even 3 weeks isn’t enough time for Google Ads to work its best. Paid ads are a long-term commitment just like every other marketing channel. 3) Have other channels in place. I love Google Ads but not as a stand-alone marketing strategy. Almost all businesses should have organic social, SEO and email working along with paid search (just to name a few).    4) Be flexible. Data-driven decisions are what will take you to the next level. Sometimes what you think will work won’t, and vice versa. You have to be willing to let data lead the way. I understand things like being on brand but being hyper-rigid isn’t the formula for success. 5) Understand the channel. To run great Google Ads campaigns you have to understand Google Ads (duh). Commit to learning about the platform. Every business and market is unique. The winners will be the ones who understand their niche and leverage Google Ads to their advantage.