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Drew Neisser is the founder of CMO Huddles and a globally recognized authority on B2B marketing. He’s an AdAge columnist, LinkedIn TopVoice, leading CMO coach, podcast host & friend of penguins everywhere.
Boomerang Founder Shankar Ganapathy believes B2B teams need fewer, better paths into target accounts. By turning customer relationships into timely introduction opportunities, AI can help sellers prioritize trust over lead volume. The opportunity is compelling, but CMOs must protect customer social capital, demonstrate value quickly, and measure whether warm connections consistently create qualified pipeline.
B2B marketers have spent years building systems that can identify, score, enrich, route, retarget, and nurture increasingly large numbers of prospects. The technology improved. The pile of names got bigger. Sales still wants to know which three people to call today.
That disconnect sits at the center of a recent conversation with Shankar Ganapathy, Founder of Boomerang. Shankar’s thesis is refreshingly direct: “For sales, it’s more precision. I don’t want 50 leads. Give me three leads.”
Pipeline pressure is hardly new. What is changing is the ability to use AI to identify a credible relationship path into an account, determine why that relationship matters, and deliver the insight to a seller at the moment it can be used.
That sounds far more valuable than another list.
I have known Shankar for more than three years and have enjoyed watching this entrepreneur pivot into increasingly interesting territory. Boomerang has evolved toward what Shankar calls “customer network activation,” helping companies identify where satisfied customers may have meaningful relationships with prospects and when an introduction could accelerate a conversation.
The model is still emerging, and Boomerang is still proving where it works best. Even so, the underlying idea deserves CMO attention because it brings customer advocacy, sales intelligence, AI, and pipeline creation into the same conversation.
Most companies know that customer referrals convert well. Far fewer have an operating system for identifying the right customer, the right prospect, the right moment, and the right reason to ask for an introduction.
The necessary information is usually scattered across CRM records, account plans, email, social networks, customer-success notes, and employees' memories. A salesperson may eventually discover that a customer knows a target executive, but the insight often arrives too late or requires time-consuming research.
Boomerang makes those connections visible and actionable. The platform connects with systems such as Salesforce, Slack, and Gmail, then proactively alerts sellers when a customer relationship may help with an upcoming meeting or target account.
“If you’re meeting four people today, we’ll tell you how your customers are connected to those four people,” Shankar explained. The alert can include evidence of the relationship and guidance for making an appropriate name-drop or introduction request.
This matters because relationship intelligence has little value when buried in another dashboard. Shankar described the product’s evolution as “Slack first versus CRM first,” adding, “No login. No one needs to come search.”
The insight finds the seller while the opportunity is still warm.
Finding that two people are connected on LinkedIn is easy. Determining whether they have a relationship strong enough to support an introduction is considerably harder.
Boomerang examines public activity for signals of familiarity. A generic “Congratulations” comment may reveal little. A message such as “Let’s catch up soon—it’s been a while” suggests a different level of connection.
As Shankar explained, “Who are the other heads of marketing, heads of demand gen, and heads of marketing ops who are engaging in a personal manner with that post? That’s a signal.”
AI can perform this research at a scale that would be unrealistic for most sales teams. It can monitor activity, distinguish potentially meaningful interactions from generic engagement, connect those signals with target accounts, and present the opportunity in a useful context.
That capability can make prospecting more precise, but it also creates a responsibility to avoid overinterpreting public behavior. A warm social exchange does not automatically mean someone is willing to make a business introduction. The signal should start a thoughtful evaluation rather than trigger an automated ask.
Relationship intelligence needs human intelligence.
Boomerang’s recent direction also offers a useful product lesson for CMOs working at—or buying from—startups. A product needs to demonstrate value quickly, especially when it introduces a new category or asks customers to change established behavior.
Shankar said a prospective user can sign up and test Boomerang in about 30 minutes. The trial is designed to surface relevant relationship opportunities without requiring a lengthy implementation or major workflow disruption.
This speed to value may be Boomerang's sweet spot. Pipeline is a persistent executive priority, and the product doesn't need to transform an entire go-to-market organization to produce a useful insight. If it surfaces one credible path into an important account, users understand the value immediately.
For startups, that moment matters. Buyers have limited patience for products that require months of integration, training, and configuration before revealing whether the underlying idea works. AI can compress that timeline, but only when the product is designed around a specific job and a recognizable outcome.
Boomerang’s job is easy to understand: identify the few relationships most likely to help create a valuable conversation.
The harder work comes after the opportunity appears.
Technology can identify a connection and simplify the introduction request. It cannot make a customer comfortable spending their reputation on a company’s behalf.
Shankar called this “the bigger friction,” explaining that it comes down to a customer’s “willingness to open their social capital and put their personal brand behind your brand.” That is the most important insight in the entire conversation.
A referral is more than a routing mechanism. The customer transfers a portion of their credibility to the company and implicitly tells the recipient, “This deserves your attention.” If the outreach is irrelevant, overly aggressive, or poorly handled, the customer bears some of the reputational cost.
CMOs therefore need to treat social capital as a scarce customer asset. A connection in a database is not permission to request an introduction, and a happy customer should not become an unpaid business-development representative.
Before making the ask, the company should understand:
The best referral programs protect the person making the referral as carefully as they pursue the person receiving it.
Customer marketing often gets measured through references, testimonials, case studies, community participation, reviews, and retention. Those activities matter, but network activation adds another potential dimension: using customer goodwill to create relevant conversations with prospective buyers.
That does not mean turning every customer relationship into a demand-generation tactic. It means connecting customer advocacy with the broader growth system and creating a disciplined way to recognize when a customer may genuinely want to help.
The CMO is well positioned to lead this work because marketing can connect the customer story, brand promise, target-account strategy, community experience, and sales motion. Customer success should help determine whether the relationship is healthy enough to support an ask. Sales should explain why the target account matters and take responsibility for the conversation that follows.
AI can bring these inputs together and identify opportunities. Humans must decide whether acting on them will strengthen or weaken trust.
Boomerang relies partly on publicly available information, which raises an obvious question: What prevents another company—or an internal team—from recreating the capability?
Shankar says the defensibility comes from accumulated workflow learning and the experience around the data. “The bet is the experience—how it intertwines with signals, opportunities, and expansions,” Shankar said.
Boomerang’s agent, called Rudy, must deliver “the right insight to the right person the right way and make it actionable.” That sounds straightforward until the system must determine which signals matter, who should receive them, when they should arrive, and what action should follow.
Shankar believes those decisions improve through usage across customers and sales teams. “The skills file is not based on my bias,” Shankar explained. “It’s based on how hundreds of reps across dozens of companies are using this.”
The conclusion was characteristically blunt: “Ultimately, skills are the only competitive differentiation. Software is free.”
Time will tell whether workflow learning creates a durable moat for Boomerang. The broader point is immediately relevant to CMOs: access to an AI model or public data rarely creates lasting advantage by itself. Value comes from embedding intelligence into a repeatable workflow that improves with experience and produces a measurable outcome.
CMOs considering customer network activation should begin with the operating model rather than the technology.
Identify the accounts, buying roles, and business situations where a warm introduction would create meaningful value. Asking customers for introductions without a focused target creates unnecessary friction and makes the request harder to justify.
Coordinate with customer success and account teams before making an ask. Product usage, renewal status, support issues, executive relationships, and recent feedback should all influence whether the moment is appropriate.
Distinguish between a superficial connection and credible evidence of familiarity. AI can prioritize the possibilities, but a human should assess whether the relationship appears strong enough to support outreach.
Give the customer a reason to believe the introduction will benefit their contact. A relevant insight, peer connection, useful research finding, or solution to a known problem is more compelling than helping a vendor hit a pipeline target.
Provide concise, personalized language the customer can edit. Avoid scripts that feel automated or make claims the customer may not be comfortable endorsing.
Limit request frequency, track previous introductions, and close the loop afterward. The customer should know what happened and feel that their trust was handled responsibly.
Track accepted introductions, meetings, qualified opportunities, pipeline progression, and customer sentiment. A small number of strong introductions may create more value than a much larger lead program.
CMOs should ask a simple question: If a seller named the company’s ten most important target accounts today, could the organization quickly identify which satisfied customers have meaningful relationships inside those accounts?
If the answer is no, the company may be sitting on valuable relationship equity without a system for activating it. If the answer is yes, the next question is whether the organization can use that knowledge without exhausting customer goodwill.
Three great introductions will not solve every pipeline problem. They may, however, teach the organization more about trust, timing, and relevance than the next 50 names added to a nurture stream.
Customer network activation is the disciplined use of customer relationships to create relevant introductions, referrals, and account intelligence. It combines relationship signals with customer health, target-account priorities, and human judgment.
AI can identify potential connections, monitor relationship signals, prioritize high-value opportunities, and deliver recommendations inside existing sales workflows. Human teams should still determine whether the customer relationship and timing support an introduction request.
No. Personal comments and repeated interactions may suggest familiarity, but public engagement does not confirm the strength of a private relationship. Treat these signals as research inputs, not proof or permission.
Marketing can orchestrate the program, but customer success and sales need defined roles. Customer success should protect relationship health, marketing should connect the program to advocacy and account strategy, and sales should handle introductions responsibly.
Measure accepted introductions, resulting meetings, qualified opportunities, pipeline progression, conversion, and customer sentiment. Avoid judging the program primarily by the number of connections identified or requests sent.