Let’s kick off this edition with some incredible news:
Vik’s M.I.X has just reached its first 1,000 subscribers—and I couldn’t be more grateful or excited!
After 40 newsletters, we’ve hit a milestone that truly feels like a game-changer.
When I launched this newsletter, I had high hopes but wasn’t chasing numbers.
Yet seeing 1,000 of you here—reading, engaging, and trusting me with your time—feels absolutely surreal.
It’s a powerful reminder that the first thousand really can make all the difference.
Your support fuels my passion to keep delivering practical marketing insights, strategies, and stories you can put to use.
We’ve come so far, and there’s still so much more to share.
From the bottom of my heart, thank you for being part of this journey.
Here’s to the next thousand—and the many exciting topics, success stories, and lessons we’ll explore together in the future!
Stay tuned; there’s plenty more on the way.
Another key thing that has happened recently here in India is the Union Budget 2025. It’s a mixed bag for working professionals.
Finance Minister Nirmala Sitharaman’s Budget 2025 brings big tax relief.. raising the tax exemption limit to ₹12 lakh, meaning many salaried individuals won't pay income tax anymore.
This boosts disposable income, likely driving spending in FMCG, auto, and other sectors.
But concerns remain. With GDP growth expected to drop to 6.4%, job security is a worry.
While investments in infrastructure and MSMEs are promising, many feel the budget lacks direct job creation strategies.
In short, there is going to be more money in pockets, but job concerns linger.
Now, that my 1000 subscribers' news and union budget is already a hot topic of discussion (ok, not my subscriber's news) there is something else that’s shaking up the entire industry.
DeepSeek just pulled the rug out from under the AI industry.
A small startup from China has just turned the AI industry on its head—without spending billions like OpenAI, Google, or Meta.
With AI development no longer requiring billion-dollar budgets, startups and smaller markets (hello, India!) can now compete with the big players.
And it’s going to level the playing field for everyone, allowing companies to build products and market them with a deeper impact.
So, is this another big risk for marketing jobs?
I believe AI is here to do the heavy lifting so humans can focus on what they do best: strategy, creativity, and emotional connection.
The brands that get this balance right? They win.
In edition #40 of Vik’s M.I.X, we’re going to cover DeepSeek’s key innovations that are driving this disruption and its strategic role in marketing.
Then, we’ll talk about how the human-AI partnership will play out in the marketing world.
And finally, we’ll dive into how smart brands are dealing with the cookie apocalypse and adapting to the new landscape.
Here’s what we’re covering today.
DeepSeek Disruption
Human and AI Tag team
Cookie apocalypse
Let’s dive in.
DeepSeek Disruption
While tech giants are burning mountains of cash to train AI models, DeepSeek built its flagship DeepSeek-V3 for less than $6 million using Nvidia H800 chips. That’s peanuts compared to what the big players spend.
And now, the entire AI market is questioning everything.
Are billion-dollar data centers even necessary? Can AI be cheaper, faster, and still just as powerful? Turns out, the answer is yes.
Key Innovations Driving Disruption
1. Cost-Efficient Architecture
DeepSeek cracked the code on keeping AI costs down while maintaining performance. Here’s how:
Mixture-of-Experts (MOE) Design: Instead of firing up all parameters at once, DeepSeek-V3 only uses 37 billion active parameters from a total of 671 billion. Think of it like using just the right amount of fuel instead of burning the whole tank.
FP8 Mixed-Precision Training: Fancy term, simple idea—it squeezes more efficiency out of memory and speeds up training compared to standard FP16/FP32 methods.
Reinforcement Learning (RL) & Reward Engineering: Instead of relying on expensive neural reward models, DeepSeek-R1 uses rule-based reward systems to outperform rivals in reasoning tasks. Translation: it gets smarter without breaking the bank.
Market Impact
DeepSeek didn’t just make AI cheaper—it shook up the entire AI economy.
Stock Market Shock: Investors panicked. Companies tied to AI infrastructure saw steep declines—Vertiv (-30%), Vistra (-28%), and even Nvidia took a hit.
Democratization of AI: With AI development no longer requiring billion-dollar budgets, startups and smaller markets (hello, India!) can now compete with the big dogs.
Open Source Wins: DeepSeek-R1 and other models are free for anyone to use, taking a direct shot at closed models like GPT-4. Their AI assistant even topped Apple’s App Store within days.
Industry Reactions
Investor Anxiety: Some experts are calling it the “disruption of the entire AI narrative.” If AI can be built for cheap, why are companies spending tens of billions on infrastructure?
Meta’s Countermove: Meta isn’t backing down. They’re betting big—$60–65 billion in 2025—on reasoning models like Llama 4.
Global Implications: Indian investors are pumped. They see a golden opportunity for localized, low-cost AI models and are pushing for government support in DeepTech.
Challenges to the Status Quo
DeepSeek’s rise exposes some major cracks in how AI has traditionally been built:
Less Reliance on Expensive Hardware: Their training efficiency means less dependence on high-end chips and energy-hungry data centers.
Faster AI Development: DeepSeek isn’t slowing down. In just 14 months, they’ve dropped seven models, including DeepSeek Coder (for programmers) and Janus-Pro-7B (for vision tasks).
How DeepSeek Will Transform B2B Marketing
DeepSeek isn’t just shaking up AI it’s about to change how businesses do marketing. Here’s how:
1. Hyper-Efficient Automation
Predictive Lead Scoring: DeepSeek’s AI can analyze behavior and engagement data to rank leads, cutting manual qualification time by 35%.
Chatbots & Conversational AI: AI-powered chatbots will make customer interactions smoother, just like Adobe saw a 20% boost in qualified leads.
Automated Drip Campaigns: Think trigger-based email workflows that speed up outreach—Deloitte saw follow-ups happen 50% faster this way.
2. Cost Democratization
DeepSeek-R1’s $6 million price tag proves AI doesn’t have to cost a fortune. Now, even small businesses can deploy AI-driven marketing strategies.
Less dependency on expensive NVIDIA GPUs means companies can invest more in creative campaigns instead of infrastructure.
3. Personalization at Scale
Dynamic Content Recommendations: AI can tailor content based on user behavior—HP saw a 40% boost in engagement.
AI-Generated Content: Open-source models like DeepSeek 67B can create blog posts, emails, and whitepapers, keeping messaging on-brand.
4. Open-Source Flexibility
Custom AI models can integrate seamlessly with existing CRMs and marketing tools. Lenovo used this approach and saw pipeline growth jump 1.5x.
Developers can build industry-specific solutions—think niche chatbots without being locked into proprietary platforms.
Human + AI in Marketing
Think of AI and humans in marketing like a dynamic duo, Batman and Alfred, Sherlock and Watson.
One’s the data-driven machine, crunching numbers and predicting trends. The other? A creative genius, adding soul, emotion, and storytelling magic.
When they work together, marketing gets smarter, faster, and more impactful.
Here’s how this partnership plays out in the real world:
1. Content Creation: Data-Informed Storytelling
AI’s Role: AI digs through mountains of data to find what’s trending, what clicks, and what flops. It predicts which topics will get eyeballs and even drafts content.
Example: Marketo’s Content AI tracks engagement and conversion rates to spot hot topics like “ABM strategies.” It tells marketers, “Hey, this stuff is working—double down on it!”
Human’s Role: AI can draft, but humans breathe life into the content. We tweak the tone, inject personality, and make it resonate.
Example: Nike’s React campaign used AI to analyze runner data. But it was human creatives who turned those insights into inspiring stories about grit and perseverance. AI found the patterns; humans made it feel real.
2. Campaign Execution: Precision Meets Strategy
AI’s Role: AI runs A/B tests at superhuman speed, optimizes ad spend, and slices audiences into razor-sharp segments.
Example: A fashion retailer used AI-powered Marketo automation to test 12 different email variants for abandoned carts. Within 48 hours, AI had funneled 70% of traffic to the best performer, maximizing sales.
Human’s Role: AI crunches numbers, but humans make the big calls. We align campaigns with brand strategy and customer insights.
Example: Deloitte’s marketing team let AI optimize email tests, but it was human judgment—feedback from the sales team—that refined the messaging for enterprise clients.
3. Customer Experience: Scalable Personalization
AI’s Role: AI powers chatbots, recommends products, and fine-tunes customer journeys with laser precision.
Example: Sephora’s AI-driven quiz asks customers about their preferences and recommends the perfect products, cutting browsing time by 40%.
Human’s Role: AI personalizes, but humans ensure brand consistency and emotional connection.
Example: Wowcher’s AI-generated Facebook ads threw in emojis and witty text, but human marketers had the final say—balancing humor and urgency for maximum impact.
4. Creative Design: Ideation to Execution
AI’s Role: AI drafts design concepts, suggests layouts, and even creates art based on data trends.
Example: Heinz used AI to generate 200+ ketchup bottle designs based on social media trends.
Human’s Role: AI provides the ideas; humans refine them to make sure they actually work in the market.
Example: Heinz’s design team narrowed down AI’s 200+ ideas to five that matched the brand’s heritage. The result? A 25% sales boost.
Privacy-first advertising is in full swing, and the old way of tracking users with third-party cookies? That’s heading straight for the digital graveyard.
Now, contextual targeting is stepping up, powered by AI and regulatory crackdowns.
Let’s break it down.
1. From Keywords to AI-Driven Context
Old-school ads were basic, stick a running shoe ad on a fitness blog and call it a day.
But AI is changing the game. Instead of just scanning for keywords, it now reads the full page… text, images, and even videos… to truly understand the context.
Take Seedtag’s custom AI, which analyzes sentiment and themes, leading to a 92% jump in relevancy compared to traditional keyword-based targeting.
2. Integration with First-Party Data
With third-party cookies gone, smart brands are mixing contextual insights with first-party data… stuff users actually agree to share.
A retail brand saw a 25% spike in click-through rates by aligning ads with real customer preferences. Less guesswork, more precision.
3. Programmatic Expansion
Contextual targeting isn’t just for websites anymore. Programmatic platforms now place ads across connected TV, mobile apps, and streaming content, adapting in real time to what’s on screen. Imagine seeing an ad for hiking boots right after watching a trail-running video. That’s the new normal.
So What’s It’s Market Impact
1. Shifting Ad Spend
The global contextual ad market is set to hit $78 billion by 2025, growing at 12% CAGR.
Brands are moving their money away from behavioral tracking and toward smarter, privacy-friendly alternatives.
In emerging markets like Asia and Africa, AI-driven localization is fueling a surge in programmatic adoption.
2. Performance Metrics
Ad Recall: AI-powered contextual ads improve recall by 22% and boost message association by 19% over cookie-based ads.
ROI Boost: By cutting wasted impressions (like luxury car ads on budget travel sites), brands are seeing an 18% drop in customer acquisition costs. Less waste, better results.
3. Platform Innovation
Google & Meta are rolling out AI tools that embed products naturally in streaming content—imagine your favorite show subtly featuring that jacket you were eyeing.
Startups like Rembrand are leading niche innovations, placing skincare ads seamlessly inside makeup tutorials—no creepy tracking needed.
Advanced NLP and computer vision will soon adjust ads in real-time based on live content, picture a sports drink ad popping up when a player gets a hydration break.
Meanwhile, privacy compliance tools will become standard, ensuring brands stay on the right side of GDPR and CCPA.
By 2026, 80% of advertisers will be using contextual-first strategies.
Well, that’s the wrap for edition #40 of the Viks M.I.X (Marketing. Insights. Exchange) newsletter.
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