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ai for marketing?
Marketing is probably the function that stands to gain the most from AI.
Before I go all in,
Ever feel like you're trying to keep up with changes in the marketing world that just won't slow down? |
Hey AI and CX Enthusiasts, Get Ready to Geek Out
What's Happening?
The AI x Customer Experience Playbook is hitting the scene! 🚀
When?
November 6, 2024, from 1-3 PM EST
Where?
Right from wherever you are!
Ever wondered how AI is transforming customer experiences?
From crafting personal touches with AI-driven tools to chatting up voice assistants, we’re diving deep into it all.
So, block out your calendar, grab your favorite snack, and gear up for an afternoon packed with insights that'll reshape how you interact with customers.
Ready to roll?
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Answering the 3 questions..
Here are the top three questions on every marketer’s mind when they’re looking to dive into AI, or on every company’s radar when they’re bringing AI into their marketing strategy:
1. How to Design an AI Marketing Strategy?
2. Why aren’t you getting more from your marketing AI?
3. How not to invest in wrong marketing tech?
Let me get into each one by one:
How to Design an AI Marketing Strategy?
Marketing is probably the function that stands to gain the most from AI.
Think about it - our entire job revolves around understanding what customers want and convincing them to buy. AI supercharges both these abilities in ways we couldn't imagine a few years ago.
Some interesting stats that caught my eye:
Marketing applications bring the highest value among all AI use cases (McKinsey)
AI adoption in marketing jumped 27% in just 18 months
The top 3 goals for AI early adopters? All marketing-related: better products, new offerings, and stronger customer relationships
The Real Game-Changers:
Customer Journey Enhancement
Example: Wayfair using AI to spot persuadable customers and show them the right products
AI bots (like Vee24) that actually understand customer needs and guide them thoughtfully
Sales Process Revolution
Personalized offers using real-time data
Smart upselling that doesn't feel sleazy
Cart abandonment prevention that's surprisingly effective (5x better conversion rates)
Post-Sale Support
24/7 service that can handle volume spikes better than humans
AI agents that know when to hand things over to humans
Analysis of customer tone to guide responses
Now onto the next question,
Why aren’t you getting more from your marketing AI?
Let's talk about something that keeps happening: Companies invest big in AI marketing tools, but somehow things still go sideways. Here's the real deal on why this happens and how to fix it.
Three Big Mistakes Everyone's Making
The "Wrong Question" Syndrome
Instead of asking "Who's gonna leave?", they should've asked "Who can we actually convince to stay?" It's like trying to win an election by targeting people who've already made up their minds instead of the swing voters.
The "All Errors Are Equal" Myth Here's something nobody talks about: Sometimes being wrong matters more than being right.
The "Too Zoomed Out" Problem Companies have all this amazing granular data but still make decisions like it's 1999.
The Three Questions That Actually Matter:
"What problem are we REALLY trying to solve?" (Be specific!)
"Where are we wasting resources right now?"
"What's actually causing all this waste?"
The biggest issue isn't the AI - it's that we're treating it like a magic wand instead of a tool that needs clear direction.
Now the last question,
How not to invest in wrong marketing tech?
The Big Picture
Massive $122B industry, growing 22% yearly
70% of CMOs throwing more money at it
New startups launching like crazy
Two Major Fail Points
The Data Hoarding Problem
Collecting everything "just in case"
Super expensive & distracting
Usually leads nowhere
The "Ooh, Shiny!" Syndrome
Buying cool tools without a plan
Fancy features ≠Real solutions
Result: Expensive shelf-ware
The Smart Way Forward: The Three D's
Deconstruct: Map customer journey
Decompose: Break down strategy
Design: Pick the right tools
Start with your strategy, not the tools. The winners aren't the ones with the most tech - they're the ones using it smartly.
Should i come with these kinds of newsletters more often? |
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the REAL proof
Many companies have successfully integrated AI into their marketing and sales strategies. Here are a few case studies you should check out:
1. How Bayer used machine learning to predict cold and flu trends
2. Nutella uses AI to create packaging
3. Volkswagen uses AI to forecast buying decisions
Do you know any more case studies?