Driving Smarter Marketing

Lessons from Ana Sollitto, Product Manager at HelloFresh

Summary
At Wunder 2025, Ana Sollitto, Product Manager at HelloFresh, shared her thoughtful take on how AI is reshaping marketing, product, and customer experience. From speeding up design workflows to staying true to brand voice in a world of AI-generated content, Ana blends optimism with practicality. She explores the importance of targeting the right customer, navigating attribution debates, and building smarter with tools like Wunderkind — all while keeping human insight at the core. Read the full conversation.

At Wunder 2025, Wunderkind’s premier executive event, leaders from across the marketing and tech landscape gathered to exchange ideas, explore new tools, and envision the next wave of innovation. From panel discussions to poolside chats, it was a space for honest conversation and bold thinking.

In this interview, we sat down with Ana Sollitto, Product Manager at HelloFresh, to talk about the evolving role of AI in product and marketing strategy. Ana shared thoughtful perspectives on brand differentiation, customer-centric design, and how teams can move faster, without losing sight of what makes them unique

Personalization Needs Guardrails, and Human Insight

As AI tools become more common in the creative process, there’s a growing risk that brands start to sound, and look, the same. When everyone is using the same models with similar prompts, it’s easy to imagine a world where campaigns converge into a single, generic tone.

“If we’re all using the same tools and kinda the same models, something I worry about is we’re all gonna converge on sort of one aesthetic or one tone.”

Avoiding that sameness requires intentional effort. It means clearly defining what makes your brand unique, your voice, your values, your audience, before those attributes are handed over to an algorithm. One-line prompts won’t cut it. Smart onboarding and thoughtful briefing processes are essential to maintain brand integrity in an AI-driven world.

“You can’t just write in one sentence, you need to really brief the system… make sure that the tool you’re using is really built off of either your old content or where you want to go.”

AI Can Supercharge Delivery, but Timing Is Everything

AI-powered personalization isn’t a distant future,  it’s already reshaping how brands connect with consumers. Predictive marketing has reached a level of sophistication where behavior alone can reveal life milestones, preferences, and intent. As one well-known example shows, a retailer was able to identify a pregnancy based solely on shopping habits, before the customer had even shared the news. “I do think the future’s pretty close… AI is just gonna turbocharge that.”

But with that power comes the risk of oversaturation. When dozens of brands rely on the same behavioral triggers, it’s easy to imagine inboxes getting flooded with messages all at once. If every brand sees 10:00 PM as the perfect moment to engage, the customer may end up overwhelmed, or worse, tune out entirely. “Are they all now gonna trigger at the same time… and then it gets lost in the noise?”

To be effective, personalization needs to go beyond smart targeting, it needs smart orchestration. Tools like Wunderkind will have to consider not just who to reach, but when and why one message should take priority over another.

Speeding Up Execution, Without Slowing Down Thinking

AI is unlocking new levels of efficiency across product and engineering teams. From prototyping to documentation, it’s helping teams move faster and revisit projects that once felt too complex or resource-heavy to tackle.

Beyond product design, AI tools are streamlining work across legacy systems and buried documentation. Summarizing old roadmaps, pulling data from dashboards, or helping re-surface past experiments,  it’s all happening faster.

But the speed boost isn’t universal. Ana pointed out a key friction point in engineering: while AI can write code, editing that code often takes longer than writing it from scratch.

“It takes 10% longer to actually get the system, get the AI agent to write it, and then go through and edit it… your logic versus reading someone else’s logic.”

It’s a reminder that efficiency isn’t just about what gets done faster — it’s also about how teams think and work best. For engineers especially, sometimes the quickest path forward is still writing the code yourself.

Wunderkind: Performance, Autonomy, and Real-World Impact

Attribution debates are nothing new in marketing, and tools like Wunderkind can sometimes add friction, especially when channel managers want clear ownership of performance. But for Ana, the bigger picture matters. “Blended CAC was down, so something’s working.”

The value goes beyond attribution. What stood out was Wunderkind’s ability to drive autonomous, segment-level personalization without requiring constant manual input. Features like campaign-building via chat interface offer real potential for smarter, faster execution.

“I really like the chat function they were showing where it’s like, hey, build me a campaign,  go after this kind of customer segment and let the system run itself.”

The experience of attending Wunder 2025 also left a lasting impression. Ana highlighted the balance between content and connection, a chance to learn, share, and recharge in equal measure. In a world increasingly shaped by automation and data, it was a reminder that the best ideas often come from face-to-face conversations — and a shared commitment to building what’s next.

Final Thoughts: Build Smarter, Stay True

Ana Sollitto’s perspective offers a refreshing balance of optimism and realism. She sees AI as a powerful enabler, a way to move faster, unlock deeper personalization, and improve performance. But she’s equally clear-eyed about the risks: brand sameness, data overload, and the danger of chasing short-term wins at the cost of long-term fit.

For brands navigating this new frontier, the takeaway is simple but powerful: Equip your teams with smarter tools, focus on attracting the right customers, and above all, stay grounded in what makes your brand different. AI can accelerate the journey, but only if you’re clear on the destination.

Check out other interviews in our Wunder 2025 series:

Kevin Wishard, Hertz

Rahul Chand AAA Northeast

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Danny O'Reilly

Danny O’Reilly is a seasoned writer specializing in the martech space with a focus on zero- and first-party data, personalization and loyalty. Also an avid runner with over 12k Instagram followers, Danny aims to inspire, educate and entertain through his thought leadership and copywriting skills. You’ll find his work across the Wunderkind website, thankfully. Enjoy.