One of Cristina’s central points was that marketers need to look beyond the original trigger that created a lead. She suggested that the source of the lead, whether it comes from an event, a gated asset, or another touchpoint, matters less than the problem that person is trying to solve.
She said her team focuses on understanding the buyer’s journey in context. If someone downloads multiple assets over time, that behavior often reveals a deeper need or challenge. The real task, she said, is to understand what that person is searching for and where they are getting stuck.
That approach reflects a broader shift in B2B buying. Cristina said buyers are now doing much more of their research outside the company website. With AI tools, search engine summaries, community discussions, and third-party sources shaping discovery, the website is no longer always the first destination. Instead, by the time buyers arrive, they are often much further along in their decision-making process and expecting to find information quickly.
She also observed that many B2B buyers, especially technical ones, prefer to remain independent for as long as possible. Rather than speaking with sales early, they often try to solve their problems themselves, and if these engineers cannot find the information on a website, they reach out for help. Cristina noted, “They want to talk to somebody technical in hopes of getting the answer they need.” In the semiconductor sector, she said this frequently shows up in the form of technical support requests or community interactions. These signals indicate that the buyer has gone as far as they can on their own and now need help. “Now you have to come in to help bridge that gap on the sales side,” said Cristina.
Cristina emphasized that individual leads rarely act alone. In her view, today’s B2B buyer is almost always part of a broader buying group, and marketers need to treat every member of that group as influential.
She explained that one of the most useful ways to identify buying groups is by studying patterns in website behavior. Timestamps, repeat visits, similar paths through the site, and shared engagement with the same content can all reveal who is involved in a decision. She described one case where several people from the same company clicked through an email at the same time, while two others returned later to dig deeper into the content. Her team concluded that those later visitors were likely the real influencers in the decision process and passed those contacts to sales instead of the original five.
That example reflects Cristina’s broader philosophy: Not every visible interaction deserves immediate escalation. Instead, she suggested that marketers need to watch carefully, compare behavior with historical data, and decide when a prospect is truly ready.
Cristina described lead management as something very close to customer service. She said she cares deeply about the experience sales has with leads, but she cares even more about the lead’s own experience. In her view, the first interaction with a company sets the tone for the kind of support a buyer can expect later on.
Her team uses forms and gated assets to capture contact data, but they do not rush every contact straight to sales. Instead, they monitor behavior over time, comparing current actions to previous interactions and evaluating whether the prospect has been a lead before. She referred to this process as “prune and propagate,” borrowing language from gardening to describe the way leads are observed, separated, and developed until they are ready to grow into opportunities.
When a lead is finally passed to sales, the handoff is carefully prepared. Cristina said her team summarizes each lead in a clear, marketable way, often using AI tools to pull together what the prospect has done and why that activity matters. The goal is simple: Make it easy for sales to understand the situation and act quickly.
Cristina also offered practical advice for B2B marketers and sales leaders who expect fast conversions after a campaign launches. She suggested that those expectations are often unrealistic, especially in complex B2B environments.
According to Cristina, one of the most important variables is the size of the buying group. The more people involved in the decision, the longer the process usually takes. Internal discussion, validation, competing opinions, and external research all extend the timeline.
In her experience, semiconductor buying cycles often take around 90 days. That said, response timing still matters. She noted that while automated responses can go out within minutes, the most effective window for person-to-person outreach is within six business days. She said that prospects do not stop researching after raising their hand, so teams have a limited opportunity to engage before attention shifts elsewhere.
Toward the end of the interview, Cristina shared one of her strongest recommendations for B2B marketers: Pay much closer attention to internal search data.
She suggested that internal site search is an underused goldmine for content strategy. Once someone arrives on a website, what they search for can reveal exactly what matters most, what they cannot find, and where the user experience needs improvement. Rather than relying only on external trend tools, Cristina said marketers should study their own search consoles and internal queries to understand what content needs to be created or surfaced more effectively.
She also said Reddit can be especially valuable for understanding the questions engineers are asking and the problems they are trying to solve. Combined with Google Analytics journey mapping, this gives her a clearer picture of where visitors get overwhelmed, where they exit, and what content gaps need attention.
For Cristina, exit behavior is particularly revealing. If users consistently exit on a page, that could mean the page successfully answered their question. But if exits are scattered across a section of the site, it often signals confusion or missing information. As Cristina put it, “The exit page is going to tell you if they found what they were looking for or not. If they go through this rigmarole only to have a lot of exits on one particular page, in my opinion, that’s a good sign that the page itself is providing the content and data it needs. But if you have scattered exit pages among one product group or one category within your website, that’s an area where you should focus on finding the content needed for it.”
She also pointed to community pages as a rich source of insight, because those spaces capture the moments when users have exhausted self-service options and need help.
When asked what advice she would give to people entering the field, Cristina came back to data. She said B2B marketers often have to challenge assumptions, whether those assumptions come from sales, leadership, or even their own teams. To do that effectively, they need to understand both internal and external statistics and use them to defend their strategy.
Her message was clear: Strong B2B marketing requires more than intuition. It requires the ability to gather evidence, summarize it clearly, and present it in a way that influences action.
Cristina’s perspective offers a valuable reminder that modern demand generation is not just about volume. It’s about timing, context, empathy, and evidence. In an environment where buyers want to stay independent for as long as possible, the marketers who succeed are the ones who understand behavior deeply and respond with precision.