sales_outreach · saas · workflow

Autobound gives tab32 25% higher engagement rates and 7 hours saved per rep weekly

tab32's outbound emails were too generic to resonate with dental practice decision-makers, requiring 5-15 minutes of manual research per contact that consumed 7+ hours per rep per week, while new SDRs needed months of training to produce effective dental-specific messaging.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Clay identifies ICP prospect
When Clay identifies a new prospect matching tab32's ICP criteria, the contact is automatically sent to Autobound's Insights Engine.
Tools used
AutoboundInsights EngineAI Studio
Outcome

Within 90 days, tab32 saw 25% higher engagement rates across all outbound sequences, reclaimed 7 hours per rep per week, and cut new rep onboarding time to full productivity by 50%.

Results
Time saved7 hours reclaimed weekly per rep
Volume25% higher
Source

https://www.autobound.ai/case-study/tab32

How we source this →

Grounding & classification
Source type: vendor customer story
31 fields verified against source quotes.
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