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Privacy Policy for eMediaAI.com

Last Updated: 21 Jan 2025

At eMediaAI.com, we are committed to protecting your privacy and ensuring the security of your personal information. This Privacy Policy outlines our practices concerning the collection, use, and protection of your data when you use our website or services.

1. Information We Collect

We collect the following personal information from users:
– Name
– Email address
– Phone number
– Company information

2. How We Collect Information

We collect information directly from you when you provide it to us through our website, such as when you fill out contact forms or sign up for our services.

3. Use of Cookies and Tracking Technologies

We use cookies and similar tracking technologies to monitor user activity on our website and to support our advertising activities. These technologies help us improve your browsing experience and deliver more personalized content and advertisements.

4. How We Use Your Information

We use the information we collect to:
– Provide and improve our services
– Communicate with you about our products and services
– Conduct marketing activities, including providing you with targeted content that aligns with your needs

5. Sharing of Information

We do not share your personal information with third parties.

6. Data Retention

We may retain your personal information for an indefinite period to support our ongoing business operations and to provide you with our services.

7. Your Rights

You have the right to access, correct, or delete your personal information. To exercise these rights, please contact us at [email protected].

8. Security Measures

We take the security of your data seriously. Our data servers are located at 10web.io, which implements a comprehensive suite of security measures, including:
– Two-Factor Authentication (2FA)
– Strong password policies
– Encryption of all transmitted data
– Monitoring for security breaches and downtime
– DDoS protection
– Malware detection and prevention

For a full list of security measures, please refer to 10web.io’s security statement.

9. Data Breaches

In the event of a data breach that affects your personal information, we have processes in place to notify you promptly and take appropriate measures to mitigate any potential harm.

10. Children’s Privacy

Our website and services are not directed to individuals under the age of 13. We do not knowingly collect personal information from children under 13.

11. Changes to This Policy

We may update this Privacy Policy from time to time. We will notify you of any changes by posting the new Privacy Policy on this page and updating the “Last Updated” date.

12. Compliance

We comply with all applicable federal and state-level data protection regulations in the United States.

13. International Data Transfers

We do not transfer data internationally.

14. Additional Data Collection and Use

a. Google Analytics
We use Google Analytics to analyze the use of our website. Google Analytics gathers information about website use by means of cookies. The information gathered relating to our website is used to create reports about the use of our website. Google’s privacy policy is available at: https://www.google.com/policies/privacy/

b. Email Communications
We may use your email address to send you information about our services, updates, and promotional content. You can opt-out of these communications at any time by clicking the unsubscribe link at the bottom of our emails or by contacting us directly.

c. Remarketing Services
We use remarketing services to advertise our business across the internet. We may use services such as Google AdWords, Facebook Ads, or other platforms. These services use cookies to serve ads based on your past visits to our website. You can opt-out of personalized advertising by visiting Google’s Ads Settings or adjusting your settings on other advertising platforms.

d. Invisible reCAPTCHA
We use Invisible reCAPTCHA to protect our website from spam and abuse. This service is subject to Google’s privacy policy and terms of use.

e. Microsoft Clarity
We use Microsoft Clarity to analyze user behavior on our website. This service helps us understand how users interact with our site, allowing us to improve user experience. Microsoft Clarity’s privacy policy is available at: https://clarity.microsoft.com/terms

f . Retention.com
When you visit or log in to our website, cookies and similar technologies may be used by our online data partners or vendors to associate these activities with other personal information they or others have about you, including by association with your email or online profiles. We (or service providers on our behalf) may then send communications and marketing to these emails or profiles. You may opt out of receiving this advertising by visiting https://app.retention.com/optout.

15. Compliance with California Privacy Laws

a. California Consumer Privacy Act (CCPA), as amended by the California Privacy Rights Act (CPRA)
If you are a California resident, you have specific rights regarding your personal information under the CCPA/CPRA. These rights include:
– The right to know what personal information we collect about you and how we use and share it
– The right to delete personal information we have collected from you
– The right to opt-out of the sale of your personal information
– The right to non-discrimination for exercising your CCPA rights

To exercise your rights under the CCPA/CPRA, please contact us at [email protected].

b. California Online Privacy Protection Act (CalOPPA)
In compliance with CalOPPA, we agree to the following:
– Users can visit our site anonymously
– We will add a link to this Privacy Policy on our home page
– Our Privacy Policy link includes the word ‘Privacy’ and can be easily found on the page
– Users will be notified of any Privacy Policy changes on our Privacy Policy page
– Users can change their personal information by emailing us at [email protected]

Do Not Track Signals: We honor Do Not Track signals and do not track, plant cookies, or use advertising when a Do Not Track browser mechanism is in place.

16. Contact Us

If you have any questions about this Privacy Policy, please contact us at [email protected].

17. Governing Law

17.1. The laws of the state of Indiana in the country US, excluding its conflicts of law rules, shall govern these Terms and Your use of the Service.

Terms and Your use of the Service.

By using eMediaAI.com, you agree to the collection and use of information in accordance with this policy.

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Mini Case Study: Personalized AI Recommendations Boost E-Commerce Sales | eMediaAI

Mini Case Study: Personalized AI Recommendations
Boost E-Commerce Sales

Problem

Competing with giants like Amazon made it difficult for a small but growing e-commerce brand to deliver the kind of personalized shopping experience customers expect. Their existing recommendation engine produced generic suggestions that ignored customer intent, seasonality, and browsing behavior — resulting in low conversion rates and high cart abandonment.

Solution

The brand implemented a bespoke AI recommendation agent that delivered real-time personalization across their digital storefront and email campaigns.

  1. The AI analyzed browsing history, purchase patterns, session duration, abandoned carts, and delivery preferences.
  2. It then generated dynamic product suggestions optimized for cross-selling and upselling opportunities.
  3. Personalized recommendations extended to marketing emails, highlighting products relevant to each customer's unique shopping journey.
  4. The system continuously improved by learning from user engagement and conversion outcomes.

Key Capabilities: Real-time personalization • Behavioral analysis • Cross-sell optimization • Continuous learning from user engagement

Results

Average Cart Value

+35%

Increase driven by intelligent upselling and cross-selling.

Email Conversion

+60%

Lift in email conversion rates with personalized product highlights.

Cart Abandonment

Reduced

Significant reduction in cart abandonment, boosting total sales performance.

ROI Timeline

3 Months

The AI system paid for itself through improved revenue efficiency.

Strategy

In today's market, one-size-fits-all recommendations no longer work. Tailored AI systems designed around your customer data deliver the kind of personalized, dynamic experiences that drive loyalty and repeat purchases — helping niche e-commerce brands compete effectively against industry giants.

Why This Matters

  • Customer Expectations: Modern shoppers expect Amazon-level personalization regardless of brand size.
  • Competitive Edge: AI-powered recommendations level the playing field against larger competitors.
  • Data-Driven Insights: Continuous learning means the system gets smarter with every interaction.
  • Revenue Multiplication: Small improvements in conversion and cart value compound dramatically over time.
  • Customer Lifetime Value: Personalized experiences drive repeat purchases and brand loyalty.
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Customer Story: AI-Powered Video Ad Production at Scale

Marketing Team Generates High-Quality
Video Ads in Hours, Not Weeks

AI-powered video production reduces campaign creation time by 95% using Google Veo

Customer Overview

Industry
Travel & Entertainment
Use Case
Generative AI Video Production
Campaign Type
Destination Marketing
Distribution
Digital & In-Flight

A marketing team responsible for promoting global travel destinations needed to produce a constant stream of fresh, high-quality video content for in-flight entertainment and digital advertising campaigns. With hundreds of destinations to showcase across multiple markets, traditional production methods couldn't keep pace with demand.

Challenge

Traditional production — involving creative agencies, travel shoots, and post-production — was costly, time-consuming, and logistically complex, often taking weeks to produce a single 30-second ad. This limited the team's ability to adapt campaigns quickly to market trends or seasonal travel spikes.

Key Challenges

  • Traditional video production required 3–4 weeks per 30-second ad
  • Physical location shoots created high costs and logistical complexity
  • Limited content volume constrained campaign variety and testing
  • Slow turnaround prevented rapid response to seasonal travel trends
  • Agency dependencies created bottlenecks and budget constraints
  • Maintaining brand consistency across dozens of destination videos

Solution

The marketing team implemented an AI-powered video production pipeline using Google's latest generative AI technologies:

Google Cloud Products Used

Google Veo
Vertex AI
Gemini for Workspace

Technical Architecture

→ Destination selection & campaign brief
→ Gemini for Workspace → Script generation
→ Style guides + reference imagery compiled
→ Google Veo → Cinematic video generation
→ Human review & approval
→ Deployment to digital & in-flight channels

Implementation Workflow

  1. The team selected a destination to promote (e.g., "Kyoto in Autumn").
  2. They used Gemini for Workspace to brainstorm and generate a compelling 30-second video script highlighting the city's cultural and visual appeal.
  3. The script, along with style guides and reference imagery, was fed into Veo, Google's generative video model.
  4. Veo produced a high-quality cinematic video clip that captured the desired tone and visuals — all in hours rather than weeks.
  5. The final assets were quickly reviewed, approved, and deployed across digital channels and in-flight entertainment systems.
Example Campaign: "Kyoto in Autumn"

Script generated by Gemini highlighting cultural landmarks, fall foliage, and traditional experiences. Veo created cinematic footage showing temples, cherry blossoms, and street scenes — all without a physical production crew.

Results & Business Impact

Time Efficiency

95%

Reduced ad production time from 3–4 weeks to under 1 day.

Cost Savings

80%

Eliminated physical shoots and editing labor, saving ≈ $50,000 annually for mid-size campaigns.

Creative Scalability

10x Output

Enabled production of dozens of destination videos per month with brand consistency.

Engagement Lift

+25%

Increased click-through rates on destination ads due to richer, faster content rotation.

Key Benefits

  • Rapid campaign iteration enables A/B testing and seasonal responsiveness
  • Dramatically lower production costs allow coverage of niche destinations
  • Consistent brand voice and visual quality across all generated content
  • Reduced dependency on external agencies and production crews
  • Faster time-to-market improves competitive positioning in travel marketing
  • Environmental benefits from eliminating unnecessary travel and location shoots

"Google Veo has fundamentally changed how we approach video content creation. We can now test dozens of creative concepts in the time it used to take to produce a single video. The quality is cinematic, the turnaround is lightning-fast, and our engagement metrics have never been better."

— Director of Digital Marketing, Travel & Entertainment Company

Looking Ahead

The marketing team plans to expand their AI-powered production capabilities to include:

  • Personalized destination videos tailored to customer preferences and travel history
  • Multi-language versions of campaigns generated automatically for global markets
  • Real-time content updates based on seasonal events and local festivals
  • Integration with customer data platforms for hyper-targeted advertising

By leveraging Google Cloud's generative AI capabilities, the organization has transformed video production from a bottleneck into a competitive advantage — enabling creative agility at scale.

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Customer Story: Automated Podcast Creation from Live Sports Commentary

Sports Broadcaster Transforms Live Commentary
into Same-Day Highlight Podcasts

Automated podcast creation reduces production time by 93% using Google Cloud AI

Customer Overview

Industry
Sports Broadcasting & Media
Use Case
Content Automation
Size
Mid-sized Sports Network
Region
North America

A regional sports broadcaster manages hours of live event commentary daily across multiple sporting events. The organization needed to transform raw commentary into engaging, shareable content that could be distributed to fans immediately after events concluded.

Challenge

Creating highlight reels and post-event summaries manually was slow and resource-intensive, often taking an entire production team several hours per event. By the time the recap was ready, fan interest and social engagement had already peaked — leading to missed opportunities for timely content distribution and reduced viewer retention.

Key Challenges

  • Manual transcription and editing required 5+ hours per event
  • Delayed content release reduced fan engagement and social media reach
  • High production costs limited content output for smaller events
  • Inconsistent quality across multiple simultaneous events
  • Limited scalability during peak sports seasons

Solution

The broadcaster implemented an automated podcast creation pipeline using Google Cloud AI and serverless technologies:

Google Cloud Products Used

Cloud Storage
Speech-to-Text API
Vertex AI
Cloud Functions

Technical Architecture

→ Live commentary audio → Cloud Storage
→ Cloud Function trigger → Speech-to-Text
→ Time-stamped transcript generated
→ Vertex AI analyzes transcript for exciting moments
→ AI generates 30-second highlight scripts
→ Polished podcast ready for distribution

Implementation Workflow

  1. Live commentary audio was captured and stored in Cloud Storage.
  2. A Cloud Function triggered Speech-to-Text to generate a full, time-stamped transcript.
  3. The transcript was sent to a Vertex AI generative model with a prompt to detect the top 5 exciting moments using cues like keywords ("goal," "crash," "overtake"), exclamations, and sentiment.
  4. Vertex AI generated short 30-second highlight scripts for each key moment.
  5. These scripts were converted into audio using text-to-speech or recorded by a human host — producing a polished "daily highlights" podcast in minutes instead of hours.

Results & Business Impact

Time Savings

93%

Reduced highlight production from ~5 hours per event to 20 minutes.

Cost Reduction

70%

Automated workflows cut production costs, saving an estimated $30,000 annually.

Fan Engagement

+45%

Same-day release of highlight podcasts boosted daily listens and social media shares.

Scalability

Multi-Event

System scaled effortlessly across multiple sports events year-round.

Key Benefits

  • Same-day content delivery captures peak fan interest and engagement
  • Smaller production teams can maintain consistent output across multiple events
  • Automated quality and formatting ensures professional results at scale
  • Reduced time-to-market improves competitive positioning in sports media
  • Lower operational costs enable coverage of more sporting events

"Google Cloud's AI capabilities transformed our production workflow. What used to take our team an entire afternoon now happens automatically in minutes. We're able to deliver content while fans are still talking about the game, which has completely changed our engagement metrics."

— Head of Digital Content, Sports Broadcasting Network