The problem with Artisan
Why teams switch
Intent data isn't the same as signal intelligence
Artisan uses intent data — third-party signals about what content someone browsed. RocketSDR tracks real-world events: your prospect's company just raised a Series B, posted 12 SDR job openings, or their VP of Sales just left. These are buying signals, not browsing signals.
Personalisation at the surface vs. at the research layer
Artisan personalises based on what's in the CRM and basic social data. RocketSDR reads job postings, press releases, funding announcements, and recent social activity before writing. The difference is a message that references something the prospect actually cares about right now.
Deliverability infrastructure matters at scale
As volume increases, so does deliverability risk. RocketSDR's self-healing system monitors inbox placement, rotates mailboxes automatically, and adjusts sending patterns in real time. Most AI SDR platforms leave this to you.
Feature comparison
Head to head
Why RocketSDR
What makes the difference
Dozens of signals. One pipeline engine.
Hiring velocity, funding rounds, leadership changes, job postings, tech stack shifts. RocketSDR monitors all of them and triggers campaigns at the moment most likely to convert.
Research-first personalisation
Before writing, RocketSDR reads everything publicly knowable about your prospect and their company. The output references real context — not just their name and title.
Deliverability that scales with you
Domain health monitoring, AI warmup, automatic mailbox rotation. As you grow from 100 to 10,000 emails a day, deliverability adapts. You don't touch it.
"We looked at Artisan — solid UI, but the personalisation was surface-level. RocketSDR was researching job postings, press releases, and funding signals before writing. The difference in reply quality was obvious from the first week."
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