The Art and Science of B2B Prospecting

AI in B2B Sales: Your Inbox Doesn’t Need Another “Hope You’re Well.”

Written by Lara S. Triozzi | May 14, 2025 2:45:30 PM

Buyer behavior is evolving faster than ever, demanding not just speed but surgical precision in outreach. At MarketLauncher, we witness daily how combining AI’s data-driven insights with a seasoned human touch accelerates ROI. We have been talking and writing about this for a while now. In fact, our last two blogs resulted in lots of questions from clients, new and old. AI in sales is definitely a trending topic.

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ML Sales Manager, Teresa Block, is harnessing the power of AI and creating hyper-focused campaigns that deliver higher caliber meetings, stronger pipelines, and more predictable revenue for our clients. Instead of churning out generic, ineffective “Hope You Are Well” emails, here's what she is doing.

The Power of Trust: Building Relationships Before the First Call

These quotes underscore the deep trust Teresa has cultivated with the senior sales executives at our client companies. She is embedded as a trusted member of their sales teams. And because of this, they trust her to cultivate relationships at their named accounts, freeing them to focus on closing deals. This trust is the foundation upon which targeted, AI-enhanced campaigns succeed.

Precision Account Targeting: AI-Driven Research, Human-Infused Strategy

Teresa and the rest of the ML team leverage AI-enabled tools like Custom GPTs and Agent.ai to learn more about prospects in the early stages of the lead funnel to help create the best messaging strategy. And tools like TitanX help prioritize the key buyers within target accounts that have a higher likelihood of being reached.

This allows Teresa to quickly build tailored emails and talking points that reference relevant information like the prospect’s business milestones, strategic initiatives, industry events, and even their professional social media presence. She reviews insights, adds qualitative context (e.g., recent funding announcements or executive changes), and crafts messaging specific to each prospect’s unique pain points.

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Iterative Optimization: Learning from Every Interaction

Data Capture in HubSpot: The outcome of every interaction is meticulously logged with any details that have been captured. Teresa reviews these notes regularly, tracking replies, feedback from the client on meetings she has booked, and engagement heatmaps.

Trend Analysis: The ML team behind the scenes uses AI tools to identify which subject lines, send times, and follow-up cadences yield the highest response rates. Those insights are continually shared with sales team members, including Teresa.

AI note-taker apps like Fathom quickly locate information from recorded meetings, which helps to surface trends and recommend pivots.

We’ve developed Custom GPTs which allow us to input notes from every conversation Teresa has had with prospects on an account, hone in on common objections and key pain points so that we can create new messaging that pivots toward exactly what we are hearing from the ideal customer profile.

Tactical Adjustments: Teresa tweaks messaging, call approaches, and channel mix in real time, ensuring that outreach remains relevant and respectful of prospects’ evolving needs. But here’s where she really makes the difference that builds trust: Teresa’s extensive sales experience, combined with the research she conducts before engaging, enables her to confidently pivot beyond the initial call plan—adapting in real time to meet the prospect’s needs and feedback.

Related Content: AI, Intent, and Relevance Are Elevating B2B Outbound Success

Four Real World Tips from Teresa Block

  1. Segment with Surgical Precision. The ML team segments lists so I can focus on those most likely to convert, while also nurturing other contacts who might not be as ready. Typically, this is a mix of MQLs, intent signals, and prospects scored by TitanX.

  2. Leverage Every Data Point. I constantly review HubSpot data—prospect reactions to emails and notes from past conversations. ML’s thorough documentation and research from tools like ChatGPT and Agent.ai helps me build credibility by referencing the prospect’s most relevant initiatives or relevant industry news.

  3. Personalization Wins Trust. Prospects know when an outreach is generic. This data-driven intel lets me mention a recent product launch, a social media post, or an executive quote, making all the difference in establishing trust.

  4. Involvement Early in the Sales Cycle. Because clients trust me, they involve me sooner, often collaborating on named accounts we are targeting, which gives me deeper context and allows me to do even more effective targeting.

The ROI of AI + Human Expertise

By leaning on experts like Teresa and the methodology she employs, our clients have realized:

  • Faster Pipeline Ramp Up - accelerated lead conversion and reduced time to first meeting.
  • Higher Quality Discovery Calls - more relevant conversations, translating into stronger deal momentum.
  • Increased Opportunity Conversion - warmer leads are progressing to opportunities at a higher rate.
  • Account Expansion - strategic cross-sell and upsell motions driven by personalized insight.

The Future of AI in B2B Sales

The sales landscape is going to grow more complex. Companies that invest in AI will gain a competitive edge, but success hinges on pairing technology with expert practitioners. Teresa Block’s achievements at MarketLauncher demonstrate that when AI and human ingenuity unite, B2B sales professionals can engage top accounts with authenticity, precision, and measurable impact.

For B2B sales leaders looking to drive faster ROI and forge deeper client relationships, consider Teresa’s recipe for success: harness AI for insights, apply human expertise for strategy, and continually optimize through data-backed learnings.

The future of sales is here—and it thrives at the intersection of machine intelligence and the irreplaceable human touch.