Sales benchmarks, from real workflows.
Most "sales research" is a survey. Ours is data. Gangly's first-party telemetry covers millions of calls, emails, and CRM events — anonymized, aggregated, and turned into benchmarks you can actually act on.
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How long should a cold email be — data from 10,000 sends
Reply-rate curves by character count, segmented by industry and sender seniority.
Read the report OutboundCold email reply rate benchmarks by industry
Median and top-decile reply rates across SaaS, fintech, healthcare, and 7 other verticals.
Read the report OutboundCold email open rate benchmarks 2026
What "good" looks like for opens in a post-pixel, AI-filtered inbox environment.
Read the report CallsB2B sales call benchmark report
Talk ratio, question count, and silence patterns that correlate with closed-won.
Read the report CallsConversation intelligence metrics
The metrics that actually predict deal outcome — and the vanity ones that do not.
Read the report AI in salesAI sales statistics 2026
Adoption rates, ROI multipliers, and the gap between AI-leader and AI-laggard orgs.
Read the report AI in salesAI sales predictions accuracy
How well current AI forecasting tools actually predict next quarter — and where they fail.
Read the report CRMCRM adoption statistics
Real CRM usage rates by team size and segment. The gap between licenses sold and tools used.
Read the report CRMCRM hygiene metrics
Field completion, stale-deal rate, and time-to-stage-update — the three numbers that matter.
Read the report PipelineAverage deal size benchmarks
Median ACV and ARR by segment, industry, and motion. Where your deal size sits vs peers.
Read the report PipelineKey sales metrics dashboard for CROs
The 12 metrics every CRO should be tracking — and how to instrument them without 6 BI tickets.
Read the report BuyersB2B buyer behavior statistics
How modern buyers research, who they involve, and where they actually decide.
Read the reportHow we collect this data
Gangly Research draws on anonymized, aggregated telemetry from customer workflows — call recordings, email sends, signal events, and CRM updates. No customer-identifiable data is ever included in published benchmarks.
Every report cites: sample size, time window, segmentation, and the specific metric definition. Where we use third-party data (US Bureau of Labor Statistics, SaaStr survey data, public funding databases), it is called out inline.
Customers can opt out of contributing data to research at any time via their workspace settings. The opt-out has no impact on product features.
See how your team benchmarks.
Run Gangly for 14 days. We will show you where your numbers sit vs the benchmarks above — call patterns, reply rates, CRM hygiene, the lot.