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- How Google’s AI Makeover is Revolutionizing Your Shopping Experience ✨
How Google’s AI Makeover is Revolutionizing Your Shopping Experience ✨
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Hello there, HTE rock stars! 😎
Google’s latest AI-driven updates are reshaping the way we shop, browse, and discover new products online. With smarter personalization and advanced tech fueling everything from search to YouTube recommendations, this AI makeover means Google now "knows" your audience better than ever before. Gemini, Google’s new AI model, taps into billions of listings and uses insights from across Google platforms to create a uniquely tailored shopping journey. These updates aren’t just transforming shopping—they’re unlocking growth opportunities across search, cloud, and beyond 🚀
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- Ways Google’s AI Makeover Transforms Your Shopping Experience🛍️
- AI knows better About Your Audience ✨
- AI-Powered Growth Fuels Advances in Search, Cloud, and YouTube🚀
- Top Reads - Real-Time News Right For You. 📚
- HTE Job Board- Get Your Dream Job With A Click! 🌟
Ways Google’s AI Makeover Transforms Your Shopping Experience🛍️
Google Shopping is getting a game-changing upgrade powered by AI, and it’s all about making shopping feel as personal as possible. By harnessing the capabilities of their new AI model, Gemini, Google has transformed how we browse, compare, and buy online.
What’s New?
Imagine opening Google Shopping to find a homepage that’s practically made for you. Thanks to Gemini analyzing 45 billion product listings from Google’s Shopping Graph, the experience now offers personalized product recommendations and videos. It even keeps tabs on what you’ve recently searched for across YouTube and Google, curating items based on your unique tastes and past searches.
Searching for something specific? Gemini has your back. Enter a query like “men’s winter jacket for Seattle,” and you’ll get suggestions perfectly tailored to that rainy, chilly climate. These AI-generated briefs make shopping smart and intuitive, narrowing down choices that fit your exact needs.
Why This Matters
In the words of Lilian Rincon, Google Shopping’s VP, “We know shopping is personal, and that’s what we’ve created with our feed.” The new feed considers your recent purchases and interests to suggest categories and deals that match your style and budget—making it easier to navigate the massive online shopping world.
There’s also a built-in price comparison tool and a “Deals” section to help you find the best price. You can even try on clothes virtually or use augmented reality to see how furniture might look in your space, taking the guesswork out of your online shopping journey.
And if something feels off? Google has built-in feedback tools, so you can hit “thumbs down” on any suggestions that miss the mark.
When Can You See It?
This feature is rolling out across the U.S. on desktop and mobile over the next few weeks, so keep an eye out! It’s a fresh, interactive shopping experience designed to be as unique as you are.
Whether you’re in it for the savings, style, or convenience, Google Shopping’s new AI features are set to make online shopping smoother and more enjoyable. Happy shopping!
AI knows better About Your Audience ✨
1. Current Satisfaction with Measurement Tools
Survey Findings: Only 36% of marketing leaders in a recent Plus Company-Statista survey are “very happy” with their current measurement tools.
Traditional Tools in Use: Marketers still lean on tools like:
Brand tracking
Sales trend analysis
Campaign metrics
Media mix modeling
Attribution modeling
Incrementality testing
Challenge: Traditional methods don’t keep up with today’s fast-paced digital environment, leaving 64% of marketers dissatisfied.
2. The Unique Challenge of Measuring Creative Content
Intangible Nature of Creative Impact: Creative content remains the hardest element to measure in marketing due to its subjective nature.
Old vs. New Market Conditions: The slow pace of traditional brand studies limits competitive agility in today’s real-time, constantly shifting markets.
Survey Insight: 58% of marketers cite the absence of real-time data as a major obstacle in adapting creative strategies.
3. The Promise of AI in Real-Time Measurement and Agility
AI’s Edge: By offering real-time insights and detailed data on audience engagement, AI enables marketers to:
Make faster, data-driven decisions
Fine-tune campaigns to improve effectiveness
Competitive Advantage: Companies leveraging AI can deliver higher-performing campaigns, keep up with changing consumer behavior, and accurately measure creative impact.
Survey Insight: While 89% of marketers agree on AI’s value, only 54% have fully integrated AI into their creative processes.
4. Barriers to AI Integration
Resistance to Change: Nearly half (45%) of marketers report resistance to change, and this jumps to 71% in smaller companies.
Cost Concerns: Enthusiasm for AI drops at higher levels—57% of mid-level marketers see it as “very helpful,” but this falls to 49% among VPs due to cost concerns.
Technology Overwhelm: The rapid emergence of new tools and the high costs of AI-based upgrades make company-wide implementation challenging.
5. Key Benefits of AI in Creative Marketing
Enhanced Targeting and Audience Insights: AI tools provide a more comprehensive understanding of consumer behaviors and preferences, which strengthens campaign briefs.
Real-Time Engagement Analysis: AI tools track audience interaction across funnel stages, helping to tailor messages to specific audience segments.
Advanced Attribution Models: AI’s ability to monitor pre-, during-, and post-campaign engagement offers insights into long-term impact, refining messaging to increase campaign success.
6. Overcoming Barriers for Long-Term Success
Investment in AI for Creative: To stay competitive, companies need to invest in AI tools that unlock detailed insights, offer actionable recommendations, and streamline creative processes.
Embracing Change: Overcoming fear of new technology, managing the costs of onboarding, and fostering organizational buy-in are essential for integrating AI effectively.
AI-Powered Growth Fuels Advances in Search, Cloud, and YouTube🚀
Several operational changes occurred during the quarter, including the reorganization of Google’s AI teams and the expansion of AI features across its products.
The company also reported improvements in AI infrastructure efficiency and increased deployment of AI-powered search capabilities.
CEO Sundar Pichai emphasized how AI transforms the search experience, telling investors that “new AI features are expanding what people can search for and how they search for it.”
Google’s AI infrastructure investments are yielding efficiency gains. According to Pichai, over a quarter of all new code at Google is now generated by AI and then reviewed by engineers, accelerating development cycles.
Google has reduced AI Overview query costs by 90% over 18 months while doubling the Gemini model size. These improvements extend across seven Google products, each serving over 2 billion monthly users.
The Google Cloud division reported operating income of $1.95 billion, marking an increase from $266 million in the same quarter last year.
Company leadership attributed this growth to increased adoption of AI infrastructure and generative AI solutions among enterprise customers.
In an organizational move, Google announced it will transfer its Gemini consumer AI team to Google DeepMind, signaling a deeper integration of AI development across the company.
YouTube achieved a notable milestone: its combined advertising and subscription revenues exceeded $50 billion over the past four quarters.
YouTube ads revenue grew to $8.9 billion in Q3, while the broader Google subscriptions, platforms, and devices segment reached $10.7 billion.
Financials
Net income increased 34% to $26.3 billion
Operating margin expanded to 32% from 27.8% last year
Earnings per share rose 37% to $2.12
Total Google Services revenue grew 13% to $76.5 billion
Google’s Q3 results point to shifts in search that SEO professionals and businesses need to watch.
With AI Overviews now reaching over 1 billion monthly users, we’re seeing changes in search behavior.
According to CEO Sundar Pichai, users are submitting longer and more complex queries, exploring more websites, and increasing their search activity as they become familiar with AI features.
For publishers, the priorities are clear: create content that addresses complex queries and monitor how AI Overviews affect traffic patterns.
Top Reads📚
In the Market: How Harris, Trump promises could feed market's addiction to the Fed ~ 30 October 2024, Reuters
Meta Takes Step To Replace Google Index In AI Search ~ 30 October 2024, Search Engine Journal
Apple’s very important week ~ 29 October 2024, Morning Brew
Political ad spending shifts regional CTV costs for brands ~ 29 October 2024,MarTech
How to choose an SEO-friendly domain name ~ 29 October 2024, Search Engine Land
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Your Voice 🎤
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