
Grammarly on boosting response rates with AI automation [video]
“Since we've used SAGE and Common Room together, we've seen an increase of 50% in our response rates."
Riley Harbour
Head of Business Development
Organizations are navigating a transformational time in go-to-market. The leaders aren’t just reimagining what GTM looks like in this new era—they’re bringing their visions to life through a combination of human ingenuity and cutting-edge technology.
A new breed of customer-obsessed, data-first, and AI-augmented GTM team is emerging. GTM visionaries is where we explore their stories.
In this edition we talk to the team at Grammarly—the AI communication and productivity assistant used by more than 50,000 organizations and four million people around the globe.
Hear Head of Business Development Riley Harbour, Enterprise BDR David Zarghampour, and Data Scientist Bhrath Srikanth talk about:
- The reality of modern outbound: Breaking through the noise—and busy inboxes—has never been harder. Buyer attention spans are short and AI has only exacerbated outbound overload.
- Personalization at scale: Modern GTM teams must not only personalize to the person, account, and department-specific pain point, but do so quickly and consistently across their entire books of business.
- Using AI to automate insights: AI-assisted propensity scoring based on the full spectrum of first-, second-, and third-party data points and buying signals helps Grammarly achieve maximum effectiveness at maximum efficiency.
- Making AI actionable for reps: AI delivers previously hidden insights at blazing speed, but human beings must be able to understand, explore, and take action on relevant information to drive real results.
- Partnering with Common Room: Grammarly uses Common Room to not only enhance its internal scoring models with hard-to-see buying signals and person-level enrichment, but also to act as the action layer for customer-facing teams in the field.
Grammarly’s GTM innovation is helping the company:
- Increase reply rates by 50%
- Decrease lead-to-opportunity time by 35%
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