What causes some campaigns to explode overnight while others fizzle? In 2025, the answer is less about magic and more about mindsets—and data. Here’s how the SURGE framework cracks the code for viral content:

Social Currency
People share content that enhances their social image. This year, “insider” perks, digital badges, and exclusive knowledge sent engagement rates soaring.

Unexpectedness
Pattern-breaking hooks, twist endings, or playful stunts grab attention. From Dream11’s celebrity mashups to the “Barbenheimer” meme frenzy, surprise remains a staple.

Relevance
The most viral content speaks to what's happening now. AI-driven trend spotting enables brands to “surf the wave” of digital conversations in real time.

Group Identity
We share to signal tribe membership and foster connection. User-generated content, like GoPro’s global challenge, forges powerful communities.

Emotion
Content that fuels excitement, awe, or laughter gets shared. Positive stories generally outperform negative, but high-energy emotions of any kind contribute to virality.

Ready to Engineer Viral?
Use SURGE for your next campaign—pick one trigger, build around it, and watch what happens. The future of content is engineered, not accidental.

Dive into the future of marketing in this thought-provoking episode. Discover how AI is revolutionizing Customer Journey Orchestration (CJO) — transforming linear funnels into dynamic, personalized loops that foster lasting customer relationships.

We’ll unpack insights from two standout sources:

• “AI in Marketing 2025: A Masterclass in Customer Journey Orchestration” – A YouTube masterclass that showcases how AI enables marketers to build enduring engagement by analyzing behaviors and orchestrating every touchpoint with precision. YouTube

• “Beyond the Click: Mastering Customer Journey Orchestration with AI” – Hosted by digital marketing leader Rohit Shetty (August 6, 2025), this podcast post breaks down how AI transforms each stage of the customer journey—awareness, evaluation, purchase, and loyalty—through real-time personalization and predictive automation. Rohit Shetty

Tune in and explore:

• What is Customer Journey Orchestration—and why is the traditional marketing funnel obsolete?

• How AI empowers hyper-personalization at scale: from cart abandonment recovery and chatbots to churn prediction and champion identification.

• Essential tools in the AI-CJO toolkit: Braze, Insider, Salesforce Marketing Cloud, and Pega—designed to adapt, orchestrate, and elevate the customer experience. Rohit Shetty

Whether you're building loyalty, streamlining conversions, or aiming for scalable, intelligent marketing, this episode provides the roadmap. Moving beyond the click, it's time to craft customer experiences that resonate—and last.

#DigitalMarkketingbyRohitShetty

The era of the third-party cookie is over. So, what's next for marketers? The answer is Zero-Party Data. In this video, we break down what it is, why it's more powerful than first or third-party data, and give you a practical playbook for collecting it ethically.

You'll learn how to use quizzes, interactive tools, preference centers, and even games to have your customers willingly tell you what they want. We'll show you how to turn that data into hyper-personalized experiences that build lasting trust and drive real results.

What's your most creative idea for collecting zero-party data? Share it in the comments below!

#ZeroPartyData #DigitalMarketing #CookielessFuture #MarketingStrategy #DataPrivacy #DigitalMarketingbyRohitShetty

Power BI has become an indispensable tool for marketers aiming to harness the power of data-driven decision-making. This masterclass explores the latest industry updates, how AI is revolutionizing Power BI, and practical tips to elevate your marketing analytics.

Microsoft’s recent enhancements to Power BI apps and service features have improved collaboration and data governance, crucial for marketing teams managing multiple campaigns and stakeholders. The integration with Microsoft Fabric and AI-powered Analyze features enable marketers to quickly identify trends and anomalies without manual effort.

Power BI’s core components — Desktop, Service, and Workspaces — provide a robust platform for creating, sharing, and managing marketing reports. AI capabilities such as natural language queries, automated insights, and predictive analytics make data exploration accessible and actionable.

Marketers can connect Power BI to various platforms like Google Analytics and Facebook Ads, blending data to gain a comprehensive view of campaign performance. Visual tools like Key Influencers help identify factors driving customer behavior, enabling more targeted strategies.

To get started, focus on clean data, leverage AI features, create interactive dashboards, and collaborate effectively within Power BI workspaces. Continuous learning and staying updated with Microsoft’s Power BI developments will ensure you maximize the platform’s potential.

By mastering Power BI, marketers can transform raw data into strategic insights that drive better campaign outcomes and higher ROI.

#digitalmarketingbyrohitshetty #rohitshetty #powerbi #bi

Marketing Psychology: Understanding the Mind Behind the Clicks

In a world where attention is currency, understanding the psychology behind consumer actions has become vital. For tech and IT service providers, marketing isn’t just about logic — it’s about emotion, behavior, and precision timing. This is where marketing psychology steps in.

From the fear of missing out to the trust in expert voices, buyers are influenced by subtle cues. Techniques like scarcity, authority, and social proof are now embedded in everything from onboarding emails to landing pages.

And now, AI is reshaping how we apply these principles. Tools like Adobe Sensei analyze emotional reactions in real time. ChatGPT generates copy that adapts to psychological intent.

Marketing is no longer just data-driven. It’s behaviorally aware.

#DigitalMarketingbyRohitShetty #Marketing #AI #MarketingwithAI

If you’ve been searching for the secret to B2B success on LinkedIn, “How I Cracked the Code on B2B LinkedIn Marketing” dives deep into tried-and-true tactics designed to elevate your strategy. In this comprehensive episode, packed with actionable insights, marketers can learn how to optimize their approach and unlock LinkedIn’s full potential in the B2B space (YouTube).

• Strategic Focus: It offers concrete techniques tailored for B2B brands, not just generic social media tips.
• Immediate Value: Each section is built to be actionable—no filler content.
• Master the Platform: Walk away knowing how to turn connections into conversions.

1. Optimize Your LinkedIn Profile & Company Page
   Make a strong first impression with clarity, consistency, and industry relevance.
2. Publish Thought Leadership Content
   Focus on long-form posts and newsletters to showcase authority and build trust.
3. Use Showcase Pages & Niche Features
   LinkedIn’s Showcase Pages allow you to target specific business segments—perfect for highlighting niche sub-brands or content verticals.
4. Engage Authentically
   Regularly comment, share, and interact. A human touch goes a long way in building real relationships.
5. Leverage AI Tools & Advanced Targeting
   Tools like Sales Navigator help you identify and reach the right prospects with precision.
6. Analyze & Iterate
   Monitor performance—focus on engagement, leads, and conversions to fine-tune your messaging.

Imagine launching a monthly thought leadership series about B2B marketing trends. Promote it via LinkedIn posts, tags, and Showcase Pages. Use Sales Navigator to find key decision-makers, engage with them, and drive them toward the series. Follow-up through newsletter sign-ups or personalized messages for high-converting touchpoints.

This episode of How I Cracked the Code on B2B LinkedIn Marketing delivers more than just theory—it serves as a tactical blueprint for B2B professionals seeking tangible results on LinkedIn. From profile optimization to advanced targeting and performance analysis, it lays out a clear path for sustainable growth.

Dive into the video now and start building your most effective LinkedIn strategy yet.

Why This Video MattersKey Takeaways from the VideoExample Workflow for Your LinkedIn StrategyStepAction1. Define Your ObjectiveDecide whether you’re aiming for brand awareness, lead generation, or relationship-building.2. Polish Your Profile & PageUpdate visuals, headlines, summaries, and company descriptions for clarity and professionalism.3. Craft Valuable ContentShare insights, resources, or case studies relevant to your audience’s struggles.4. Engage ProactivelyUse comments, mentions, and replies to connect meaningfully with your network.5. Utilize LinkedIn ToolsExplore Sales Navigator, Showcase Pages, newsletters and more for added reach.6. Monitor & OptimizeTrack metrics (engagement, follower growth, leads) and adjust content accordingly.Real-World ApplicationConclusion

In today’s marketing landscape, engagement is everything. Simply sharing content isn’t enough—brand messages must be interactive, immersive, and emotionally resonant. The video “How to Create Interactive Experiences That Convert” shows how integrating AI and smart design can turn passive viewers into active users who convert.

• Attention is fleeting—Consumers skip ads or scroll past flat content. Interactive experiences demand participation and attention.

• AI makes personalization powerful—By tailoring content in real-time, AI transforms one-size-fits-all messaging into targeted journeys.

• Interaction sparks results—Clicks, swipes, and choices create a relationship between brand and user, driving conversions naturally.

1. Define Clear Objectives
   Whether it’s lead generation, brand awareness, or product engagement, every interactive experience must start with a goal.

2. Leverage AI for Personalization
   AI tools dynamically shape content based on user behavior—automating personalization at scale.

3. Embed Compelling Interactivity
   Use clickable hotspots, polls, quizzes, or AI-driven choices that guide users through a narrative relevant to them. This can significantly improve engagement—and conversions.

4. Track Engagement Metrics
   Use analytics to monitor how users interact—heatmaps, click-through rates, time spent—and optimize accordingly.

5. Iterate and Test
   A/B testing and continuous refinement elevate conversion rates. Small UX tweaks often yield big results.

Why Interactive Experiences MatterKey Takeaways from the Video

In today’s data-rich environment, integrating artificial intelligence into digital marketing analytics is not optional—it’s essential. The video “Mastering Digital Marketing Analytics with AI” lays out how businesses can drive smarter decisions, personalized campaigns, and higher ROI using modern AI tools.

AI enhances marketing by:

• Leveraging predictive analytics to forecast customer behavior and optimize campaigns(CMSWire.com)
• Personalizing content at scale through segmentation and recommendation engines(Wikipedia)
• Automating reporting and optimization, saving time while improving accuracy(landingi.com)

• Predictive Lead Scoring & Behavior Forecasting: Identify customers likely to convert or churn.
• Dynamic Campaign Optimization: AI adjusts bids and content based on real-time data.
• Generative Insights & Creative Tools: Use LLMs like GPT to synthesize performance trends and suggest content strategies (e.g., SOMONITOR framework)(em-executive.berkeley.edu, landingi.com, arxiv.org).

• Better decision-making and ROI from data-driven automation
• Scalable personalization that drives engagement(CMSWire.com)
• Competitive advantage and future-proof strategies(Power Digital Marketing)

• AI is only as good as the data it processes—clean, unbiased data is crucial(Portent, landingi.com)
• Machine output should be reviewed by human marketers to maintain brand voice and guard against bias(Power Digital Marketing, Wikipedia)
• Transparent, compliant usage is essential—especially around privacy and regulatory policies(Power Digital Marketing)

1. Assess your current data pipeline and analytics tools
2. Begin with AI-enabled platforms: e.g. Google Analytics 4, HubSpot CRM, Semrush, Mixpanel(contentgrip.com)
3. Use LLMs to create dashboards, campaign briefs, and competitive content comparisons
4. Train your marketing team to collaborate effectively with AI—treat it as augmentation, not a replacement

Why AI Analytics MattersKey Applications of AI in Marketing AnalyticsBenefits for MarketersChallenges & Ethical ConsiderationsHow to Get Started

#digitalmarketingbyrohitshetty

#trending #marketinganalytics #ai #digitalmarketing #marketing #DigitalMarketingAI #MarketingAnalytics #PredictiveAnalytics #Personalization #AIinMarketing #MarketingAutomation #DataDrivenMarketing #ROIoptimization #ChatGPT #AItools