🎛️ More data doesn't mean you know the customer.

Marketers were early adopters of genAI, seeing it as a way to streamline workflows and generate more ideas at scale. But is it making marketing easier or harder?

In this week’s episode of Conversations with MarTech, Malinda Sandman, global VP of marketing at Typeform, talks about the challenges of working in a “clickless” environment, and how having a warehouse full of customer data isn’t the same as knowing your customers.

And speaking of which … Your best customer may never click on your website, which is a pretty big problem if all your measurement starts there. Ganapathy Sankarabaaham says that while AI can handle much of the discovery and comparison before the buyer shows up, marketers need to think harder about where influence occurs when the click never comes.

Ganapathy Sankarabaaham unpacks how dark social and off-site discovery channels are quietly shifting customer research away from traditional web analytics.

Shift your focus toward tracking non-direct signals and community-led touchpoints to capture buyers before they land on your site.

Ready to adapt your strategy to dark social?

• Monitor brand mentions across key industry forums to surface hidden buyers.
• Create native content tailored for third-party discovery platforms.
• Add self-reported attribution fields to capture unmapped touchpoints accurately.

AI tools and data overload often create a false sense of visibility while masking true buyer intent.

On this week’s episode of Conversations with MarTech, we discuss how continuous qualitative feedback and real-time research bridges the gap between analytics and genuine customer insights.

It looks like this:

• Conduct rapid 24-hour video interviews to capture authentic qualitative buyer sentiment.
• Shift team bandwidth from gathering static data to executing real-time behavioral insights.
• Audit your AI outputs regularly to avoid producing generic, homogeneous messaging.

Mike Pastore dissects how scaling advertising investments often amplifies organizational silos and technology friction instead of driving seamless growth.

This serves as your cue to prioritize data integration and omnichannel orchestration so your expanding budget delivers maximum impact.

Take these steps to prepare for this shift:

• Unify connected customer data to reduce channel fragmentation and programmatic waste.
• Coordinate cross-channel execution to ensure true omnichannel campaign alignment.
• Standardize measurement frameworks to boost tracking confidence across your stack.

Loyalty sign-ups don’t guarantee engagement. Exclusive research from Braze shows brands often misunderstand what drives customer retention—42% of consumers feel unnoticed when they stop engaging. Join us to separate loyalty myths from data and learn what truly keeps customers active.

• Capture real loyalty beyond basic program sign-ups.
• Drive repeat purchases without relying on massive discount offers.
• Personalize engagement using AI while maintaining customer trust.

Traditional rules-based nurture streams are falling short as buyers demand real-time, personalized engagements.

At the online MarTech Conference on Nov. 4, 2026, we’ll discuss the transition from rigid linear logic toward dynamic AI-driven orchestration to scale engagement.

Take these steps to prepare for this shift:

• Audit your current nurture paths to identify static bottlenecks ready for AI updates.
• Define strict operational guardrails so AI decisions align with brand standards and strategy.
• Align marketing operations with demand generation teams around dynamic customer journey goals.

Constantine von Hoffman examines how Salesforce’s $5.7 billion acquisition of Braze signals a massive shift toward real-time engagement while creating potential platform overlap.

A smart next step is to evaluate how this major consolidation alters bargaining power and product roadmaps across the customer engagement ecosystem.

Here’s what this market consolidation means for your stack:

• Audit redundant execution tools to avoid paying double for overlapping orchestration capabilities.
• Review contract renewal terms before independent alternatives get absorbed into enterprise suites.
• Track integration roadmaps to ensure your customer data flows seamlessly across platforms.

Ed Poppe outlines how structuring your database into a recency ladder helps reactivate past buyers during high-volume shopping periods.

You can easily leverage this by tailoring message frequency and discount depth to each recency tier to protect margins while driving revenue.

Take these steps to maximize holiday revenue:

• Divide your database into recency tiers to tailor email frequency.
• Reserve steep promotional discounts exclusively for dormant buyer segments.
• Sync customer lists with paid channels to boost social retargeting efficiency.

Join Search Influence’s Will Scott to learn how to optimize your website for AI engines. Discover practical Generative Engine Optimization tactics that make content easier for AI systems to understand, retrieve, and cite—without relying on guesswork or generic advice.

• Optimize pages using entities, semantic triples, and direct answers.
• Evaluate existing site content to spot and prioritize critical gaps.
• Master actionable tools and techniques for immediate AI visibility.

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