What Can’t Be Personalized?

Simon Hodgkins, Chief Marketing Officer at Vistatec, unpacks why true personalization begins with human insight. It’s not just about using technology, it’s about understanding the people behind the data. He also explains how brands can ensure their messages stay relevant across cultures and languages.

Personalization is widely promoted as the shortest route to customer loyalty; the term itself fills slide decks, Martech brochures, and board-level OKRs. Yet many campaigns that promise tailored engagement still arrive in inboxes feeling indistinguishable from mass mailings. Simon Hodgkins, Chief Marketing Officer at Vistatec, argues that the gap between promise and reality stems from one consistent oversight: forgetting the human on the other side of the data.

Drawing on three decades of leading global content programs for brands operating in 60 countries and 150 languages, Simon warns that unchecked automation produces what he calls “AI slop,” or those generic outputs that erode brand trust instead of building it. He contends that scalable relevance demands an equal balance of data discipline, cultural intelligence, and emotional storytelling, guided at every stage by people who understand the stakes for modern B2B buyers.

“Machines talking to machines producing non-personalized or generic content will not tick the box and get you connected on a one-to-one level with the audience. You have to have a human at the control panel.” – Simon Hodgkins

Key Takeaways:

Establishing an authentic emotional connection turns raw data points into long-term loyalty by addressing the personal risks and aspirations behind every B2B decision.
High-quality, compliant data combined with deep cultural context determines whether automated messages feel relevant or fall flat across languages and regions.
Dedicated listening programs that continuously capture and translate customer signals into actionable playbooks ensure personalization improves rather than stagnates over time.

Listen to the full podcast or watch it on YouTube directly below.

Article: “What Can’t Be Personalized?”

From a podcast interview with Simon Hodgkins, Chief Marketing Officer at Vistatec

Why Emotion Outranks Every Algorithm

“The message becomes boring and stale. It doesn’t resonate with the individual,” Simon cautions when brands rely on templated outputs. B2B buyers wager career reputation, budget stewardship, and internal political capital whenever they endorse a vendor. Technical accuracy alone cannot offset those personal stakes; instead, marketers must surface stories that make the buyer feel understood and safe. “We’re emotional creatures. An emotional connection with your customer is where the gold is,” he adds.

Teams that win loyalty map specific anxieties like missed KPIs, implementation risks, competitive pressure, and counter them with narratives of shared success. Artificial-intelligence platforms can draft multiple angles or tone variations. Still, humans must choose and refine the storyline that genuinely addresses buyer fears and ambitions, when emotional resonance guides content selection, personalization shifts from surface-level name insertion to profound relevance that influences action.

Building a Listening Lab

True personalization begins long before the first line of copy is generated. Simon recommends building an internal “satellite dish” that continuously captures signals from webinars, social comments, support tickets, field sales notes, and regional roundtables. “You need to have the mindset that this isn’t a side job. It’s fundamentally the difference between success or demise,” he emphasizes. By centralizing those inputs, organizations convert scattered anecdotes into structured insight streams.

Practical listening labs often assign clear ownership to cross-functional squads that include marketing operations, customer success, and data science. They integrate feedback tools, transcription services, and sentiment analytics, then translate findings into modular playbooks for writers and demand-gen teams. Regular synthesis surfaces emerging pain points and cultural nuances, enabling marketers to update messaging before campaigns go live rather than after performance dips.

Data Discipline Drives Trust

Garbage in still means garbage out, only faster and at a larger scale. Simon notes that companies racing to deploy generative content often neglect foundational hygiene: “Get your data in order. It’s a fundamental building block that ensures future success.” Poorly labeled or outdated records lead models to recommend irrelevant products, mispronounce regional idioms, or breach privacy rules. Outcomes that undermine the very trust personalization seeks to build.

Leading firms now assemble closed-loop large language models (LLMs) fed by vetted research, CRM records, and compliance-cleared assets. This approach protects intellectual property, aligns with GDPR and sector-specific regulations, and ensures outputs reflect brand tone across 150 languages. Multilingual validation and bias auditing further safeguard accuracy. When data quality and governance rise, marketers gain the confidence to automate at scale without sacrificing credibility.

The Human–AI Partnership

Automation offers scalability, and humans deliver resonance. Simon’s Formula One analogy frames marketers as drivers who fine-tune engines for peak performance. “Machines talking to machines won’t get you connected on a one-to-one level. You have to have a human at the control panel,” he says. Engineers optimize prompts, temperature settings, and model selection, while strategists craft emotional arcs and ensure cultural fitness.

High-performing teams also institute “red-team” reviews, which are cross-departmental checkpoints that stress-test outputs for relevance, bias, and brand alignment. The result is content that feels handcrafted yet deploys at enterprise velocity. By viewing AI as a co-pilot rather than an autopilot, organizations harness speed without surrendering the nuance that differentiates them in crowded markets.

Conclusion

Personalization’s future is not about harvesting more data but cultivating more profound empathy. Simon Hodgkins reminds leaders that emotion, structured listening, and disciplined data must weave through every AI workflow to prevent generic noise. Brands that humanize technology by pairing precise insight with genuine understanding will earn the confidence of customers who expect every interaction to speak directly to their challenges and aspirations.

ELEVATING CONTENT MARKETING STANDARDS RAISES A CRUCIAL QUESTION:
Why shouldn’t the very act of creating thought leadership content also spark new conversations with in-pipeline deals, top prospects, and high-priority customers for revenue expansion? Or serve as the cornerstone for learning and applying voice-of-customer strategies? That’s the power of ABM Podcasting—engaging B2B buyers and customers in meaningful conversations that uncover essential go-to-market insights, support long sales cycles, reinforce your market perspective, build peer-level trust, and dismantle objections that kill deals.

Steven MacDonald

Steven MacDonald is the founder of Content Strategies, CEO of a MarTech SaaS Company, fractional CMO consulting with leading B2B companies and former Director of Strategy and Client Service at top ten digital marketing agencies.

Follow Steve on LinkedIn.

Steven MacDonald

Follow Steve on LinkedIn.