The ResponZ blog
The support and conversion playbook
Tactics, frameworks and field notes for support, growth and product teams that want to get the most out of Intercom and AI.
Featured
Configure an Intercom Series that actually converts, step by step
Intercom Series remain the most powerful tool to orchestrate onboarding, reactivation and upsell. Here's how to build one that doesn't feel like a basic drip.
Latest articles
FIN Agent: what real ROI looks like in 2026
Six months after large-scale FIN rollouts with our clients, we have defensible numbers. Here's what we see — and what Intercom benchmarks don't tell you.
Setting B2B support SLAs that survive production
Too ambitious an SLA pushes agents to close fast and badly. Too lax and the contract is empty. Here's how to calibrate between the two.
Conversation-based lead scoring: the signals that actually predict
Classic scoring on firmographics and page views plateaus. The strongest signals sit in the support and sales conversations you're not mining.
Cutting First Response Time in half without sacrificing quality
Everyone wants a shorter FRT. Few teams get there without falling into the empty-reflex-reply trap. Here are the levers that work.
Segmenting SaaS customers so your sequences don't read like spam
Segmentation by company size has become lazy. Three more useful axes to drive outbound, onboarding and expansion.
Spot the real holes in your knowledge base, not the ones you imagine
Your support team thinks it knows which articles are missing. The data says otherwise. A method to systematically surface the gaps that actually cost you.
CSAT, CES, NPS: which one to steer by, which one to ignore
Tracking all three is useless if you never decide. Here's the split that works: the metric that steers the team, the one that steers the product, the one for the exec.
Intercom containment rate: the metric that politely lies
At 75% containment, the dashboard looks great. At 75% containment, half your customers had a bad experience. Here's how to actually read that number.
Voice of customer: keeping the support → product loop alive without Slack screaming
Every SaaS has the same problem: support sees the pain first, product hears about it three months later. Here's a loop protocol that survives 12 months.
The first 7 days that decide support retention
A customer's sentiment toward your support locks in within the first seven days of the relationship. Concrete levers to not waste the window.