| | | Hi , here's your monthly Dose of Noetic! |
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| | | AI + Data Privacy: What Leaders Must Know Now
As AI becomes more integrated into marketing workflows, it’s not just your results that are evolving. Your responsibilities are, too. ➡️️
With fresh updates to PIPEDA (Canada), GDPR (Europe), and CCPA (California), leaders are being asked tougher questions about how AI tools are trained, what data is being used, and who is ultimately accountable.
Here’s what you should have on your radar this fall:
✅ Consent is Evolving.
Using customer data to train AI models (even anonymized) could require explicit opt-ins. That means revisiting your cookie banners, terms of service, and form checkboxes.
Example: If you're using AI to analyze web sessions and predict behaviour, make sure your privacy policy says so clearly.
Shadow AI is a Real Risk.
Employees experimenting with tools like ChatGPT, Jasper, or Gemini may be unknowingly uploading sensitive or proprietary data.
Solution: Create a short internal guide on what’s safe to share and what’s not.
Privacy Violations Can Tank Trust and Revenue.
Misuse of AI-trained data can lead to reputational damage, loss of student or customer confidence, and compliance fines.
Example: LinkedIn is facing a class-action lawsuit after allegedly using private messages from premium users to train its AI without proper consent. This highlights how even perceived missteps in data use can quickly erode trust and trigger costly legal consequences.
REMEMBER: This isn’t just an IT concern. It’s a brand, legal, and leadership issue. Champion ethical AI use through internal privacy officers and compliance leads.
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| | | | | Are Your Funnels Built for Humans or Algorithms?
In the race to optimize, it’s easy to forget who your funnel is really for. Yes, algorithms help you scale, but are you designing for clicks as well as connections?
If your landing pages are overloaded with keywords for SEO bots ️, or your CTAs are A/B tested into blandness , you may be missing what real people actually need: clarity, trust, and relevance.
Here’s why it matters:
1️⃣ Algorithms can tell you what converts, but not always why. For example, your highest-performing ad might have a 4-word headline… but dig into the data, and you’ll find that most qualified leads came from users who scrolled, clicked around, or read the FAQ.
2️⃣ Humans take nonlinear journeys. While your funnel may look like a neat line in the CRM, actual behaviour is messy. They Google your CEO. They compare competitors. They check Reddit. Are you meeting them at those touchpoints?
3️⃣ Too much automation can create tunnel vision. Automated rules may optimize for cost-per-click, but ignore long-term fit or lead quality. For example, we’ve seen campaigns hit their CPA targets… while simultaneously tanking customer retention.
PRO TIP: The best funnels? They’re built with real people in mind, then refined with smart, strategic AI support. Not the other way around. |
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| | | | | What AI Can't Do: The Competitive Advantage of Human Strategy ✅
AI is changing marketing, but it’s not replacing the strategic minds behind the most effective campaigns. ✨
Human insight remains your most valuable differentiator, especially when it comes to ethical judgment, nuance, and long-term vision. ♀️♂️
Here’s where your leadership still leads:
Seeing the Bigger Picture.
AI can recommend what to post or when to send, but factors like boardroom politics, your institution’s brand legacy, market shifts, or multi-year strategic goals are areas it won’t likely pick up on.
Tip: Use AI to support your execution, but rely on your team to connect the dots across departments, audiences, and timelines.
❤️ Understanding Human Emotion.
AI can mimic tone, but it doesn’t understand the emotional weight of a big first-time purchase or a donor’s legacy gift.
Tip: Craft key messaging for important moments manually. You can then use AI to personalize and scale once the strategy is clear.
⚖️ Making Ethical Calls.
AI doesn’t always know when something feels off. It might automate outreach that unintentionally targets vulnerable audiences or amplifies bias.
Tip: Set a governance checkpoint before deploying AI-driven campaigns. Your team should always have final say.
Prioritizing What Matters Most.
AI can crunch numbers, but it doesn’t know which outcomes matter to your board or your community. It might optimize for clicks when your real priority is conversions, brand perception, or long-term engagement.
Tip: Set clear strategic priorities before using AI for recommendations. Let data inform decisions, not dictate them. |
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We hope you enjoyed your Dose of Noetic.
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