Sales outreach · Production

Autobound helps Techmagic achieve 150% more monthly meetings and 10x faster prospect research

The problem

Techmagic's SDRs spent 20-25 minutes per prospect manually researching across LinkedIn, company websites, press releases, and funding databases, yet still produced inconsistent personalization quality. Converting raw research into compelling outreach required sales intuition not all reps possessed, and onboarding new SDRs took months before they reached full productivity.

Workflow diagram · grounded in source
1
Rep selects target prospect
trigger
“When a rep identifies a target prospect, Autobound's Insights Engine instantly compiles comprehensive research from 35+ data sources”
2
Insights Engine compiles research
ai_action
“Autobound's Insights Engine instantly compiles comprehensive research from 35+ data sources. This includes the prospect's professional background, their company's recent news and events, hiring activity, technology stack, competitive lan…”
3
AI generates email draft
ai_action
“Autobound generates personalized email drafts that connect specific prospect signals to Techmagic's value proposition. For example, if a target company recently announced a new product launch, Autobound might draft an email referencing t…”
4
Continuous news monitoring
ai_action
“Autobound automates this entirely, continuously monitoring news sources and surfacing relevant events, funding announcements, product launches, security breaches, leadership changes, and more, as actionable outreach triggers”
5
Personalized outreach sent
output
“This meant the team was consistently reaching prospects at the moment of highest relevance”
Reported outcome

Over a five-month deployment, Techmagic saw a 150% increase in monthly meetings, 18% more SQLs, 53% more monthly activities, and 3x ROI, while achieving a 10x reduction in research time and reaching 1,500 accounts that would have otherwise gone untouched.

Reported metrics
Monthly meetings150% increase
monthly SQLs18% increase
Time saved per 100 emails7+ hours
Research and personalization time10x reduction in time spent
Show all 9 reported metrics
monthly meetings150% increase
monthly SQLs18% increase
time saved per 100 emails7+ hours
research and personalization time10x reduction in time spent
monthly activities53% increase
ROI3x ROI
incremental accounts contacted1,500
manual research time per prospect (baseline)20-25 minutes
research-to-draft workflow time (post-deployment)approximately 60 seconds
Reported stack
AutoboundInsights Engine
Source
https://www.autobound.ai/case-study/techmagic
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Over a five-month deployment, Techmagic saw a 150% increase in monthly meetings, 18% more SQLs, 53% more monthly activities, and 3x ROI, while achieving a 10x reduction in research time and reaching 1,500 accounts tha…

What tools did this team use?

Autobound, Insights Engine.

What results were reported?

Monthly meetings: 150% increase; monthly SQLs: 18% increase; Time saved per 100 emails: 7+ hours; Research and personalization time: 10x reduction in time spent (source-reported, not independently verified).

How is this sales outreach AI workflow structured?

Rep selects target prospect → Insights Engine compiles research → AI generates email draft → Continuous news monitoring → Personalized outreach sent.

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