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Instead of guessing what triggers work, perform a closed-won analysis. Examine your recent successful deals and identify the common circumstances, events, and business situations that made those conversations relevant. This reveals your most effective, data-backed triggers for future prospecting.

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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.

Standard sales triggers like funding announcements are overused and ineffective. Top sales reps differentiate their outreach by leveraging unique signals such as a prospect's specific LinkedIn posts, negative product reviews, or recent podcast appearances for hyper-personalized messaging.

Instead of focusing on all pipeline, isolate deals with the shortest sales cycles. A case study revealed a company's fastest deals came from 'warm outbound,' not digital marketing. This allowed marketing to shift from lead generation to more effective sales support in that specific market.

Instead of debating multi-touch attribution, first identify the single, independent event that caused a sales rep to engage a prospect. This "trigger" (e.g., demo request, MQL score) reveals the true efficiency of your GTM motions, which is a more fundamental problem to solve.

Instead of guessing who to target, review your past positive interactions. Identify common characteristics among responsive and appreciative clients to build a data-informed profile of who you should be approaching next.

A "tollbooth" strategy is not theoretical; it's discovered by reverse-engineering your quickest sales. Interviewing customers who bought fast reveals common "demand triggers"—the external events forcing them to seek a solution. This repeatable trigger then becomes your company's strategic focus.

Executive teams often create an ICP based on a 'wishlist' of big logos. The most accurate ICP is actually found by analyzing your first-party CRM data. Examining patterns across both close-won and close-lost deals reveals surprising truths about which customer segments are actually the best fit for your solution.

To identify which events actually drive business, analyze your last 5-20 closed-won deals. Look for recurring, time-bound triggers that you didn't create. This data-driven approach provides clarity on where to focus your efforts, revealing the organic drivers behind your biggest successes.

Relying on common sales triggers like funding announcements makes your outreach generic. Effective prospecting uses unique signals—such as specific LinkedIn posts, negative product reviews, or podcast appearances—to create relevant and differentiated messaging.

To move beyond anecdotal evidence, MobileIron conducted a "deal grind" by analyzing 20 won and 20 lost deals in a single session. This forced exercise reveals concrete patterns about the ideal customer profile, key decision-makers, and winning arguments, forming the core of a repeatable go-to-market playbook.

Discover Your Best Sales Triggers by Analyzing Your Last 10 Closed-Won Deals | RiffOn