Move original research beyond a marketing asset by making it a core sales enablement tool. Giving SDRs specific data points like, "We surveyed 600 people like you and 75% said this is a problem," immediately breaks through the noise of cold outreach by establishing credibility and relevance.
Related Insights
Effective outreach uses public data to create a unique, valuable insight for the prospect (e.g., "Your building portfolio will face X dollars in fines by 2030 based on this new law"). This earns you the right to a conversation, where the pitch can happen later, rather than being ignored upfront.
Don't just measure SDR calls and emails. Systematically track the *reason* for outreach—the sales trigger. Was it an intent signal, a form fill, or cold outreach? This crucial data reveals which initial signals actually lead to the best outcomes and deserve more investment.
Instead of asking generic discovery questions, present prospects with a framework of common problems (e.g., '15 GTM challenges'). This immediately turns the sales call into a collaborative working session, building credibility and accelerating the path to a deal.
Leverage AI to conduct comprehensive research on a prospect's company, industry, and the specific individuals you're meeting. This allows you to bypass basic discovery questions and dive into more relevant, informed conversations, making the sales call more efficient and valuable for the customer.
Most reps prepare for calls, but this effort is often invisible to the prospect. By explicitly showing your work—like presenting a hypothesis slide based on your research—you demonstrate conscientiousness and earn respect, especially when selling to more senior executives.
For cold outreach, hyper-personalizing every prospect is inefficient. Instead, identify patterns across similar roles or industries and develop 'targeted messaging' that speaks to these common challenges. This allows for scalable and relevant outreach without time-consuming individual research.
Standard permission openers ("Can I get 30 seconds?") are overused. A superior method is to first state specific research ("I just read the JD for your AEs..."). Then, ask for permission to explain why that research prompted your call. This signals a high-value interaction, not a generic call.
Generic AI-powered personalization is now table stakes and easily ignored. The new bar for cutting through noise is to immediately demonstrate why your offering is relevant to the prospect's specific challenges and why they should invest their limited attention.
Instead of asking prospects to educate you with generic questions, conduct pre-call research and present a hypothesis on why you're meeting. This shows preparation and elevates the conversation. Even if you're wrong, the prospect will correct you, getting you to the right answer faster.
In the first minute of a cold call, resist the urge to pitch your product. Instead, lead with a 'reverse pitch' that focuses entirely on the prospect's potential problems. This approach is three times more effective than using solution-focused language, as it speaks to what the buyer actually cares about.
