Techmagic

Company Background

Techmagic is a software development company founded in 2014 and headquartered in Lviv, Ukraine. With 100-250 employees, Techmagic builds custom software solutions for startups and enterprises across industries including fintech, healthcare, real estate, and logistics. The company's client base spans North America and Europe, with engagements ranging from MVP development for early-stage startups to large-scale digital transformation projects for enterprise organizations.

Techmagic's sales motion is primarily outbound. Their team of SDRs and AEs prospect technology leaders — CTOs, VPs of Engineering, product managers, and technical founders — at companies that need custom development capacity. This is a competitive market: hundreds of software development firms compete for the same decision-makers, and the difference between landing a meeting and getting ignored often comes down to how relevant and timely the outreach feels. A generic "we build software" email will not cut through to a CTO who receives 50 similar pitches per week.

The Challenge

Techmagic's sales team faced significant productivity bottlenecks that were directly limiting pipeline growth. The problems were interconnected: each one made the others worse, creating a cycle that was difficult to break without a fundamentally different approach to outbound.

Manual research was consuming the team's most productive hours. SDRs and AEs were spending substantial portions of their day manually researching prospects. The typical workflow involved checking LinkedIn for the prospect's background and recent activity, scanning the company's website for product announcements and technology decisions, searching press releases and industry publications for recent news, and reviewing Crunchbase or similar databases for funding and growth signals. For a single prospect, this process took 20-25 minutes — and even then, the research quality was inconsistent depending on the rep's experience and the availability of public information. Across the team, this manual research was consuming hours daily that could have been spent on calls, demos, and relationship building.

Identifying unique, relevant pain points was a skill gap. Even when reps invested time in research, many struggled to translate raw information into a compelling outreach angle. Knowing that a company recently raised a Series B is useful, but the real question is: what does that mean for their engineering capacity needs? Knowing that a CTO was previously at a specific company provides context, but how does that connect to Techmagic's value proposition? Converting research into relevance required a level of sales intuition that not all reps had developed, and it was extremely difficult to train systematically.

Onboarding new SDRs was slow and inconsistent. When Techmagic hired new SDRs — which happened regularly as the company grew — the ramp to productivity was painfully slow. New reps needed to learn research methodology, develop familiarity with Techmagic's ideal customer profile across multiple verticals, understand competitive positioning against other development firms, and build the writing skills to produce personalized emails that would resonate with technical buyers. This training took months, and the output quality during the ramp period was markedly lower than what experienced reps produced. The inconsistency in onboarding outcomes meant that pipeline generation was unpredictable quarter to quarter.

Why Autobound

Techmagic evaluated several personalization and research automation tools before selecting Autobound. The team's demand generation manager, Oleksandr Demianyk, led the evaluation with a focus on three requirements: depth of research, speed of content generation, and ease of adoption for the existing team.

Autobound stood out on research depth. Competing tools typically offered basic firmographic and technographic data — company size, industry, technology stack — but lacked the real-time signal intelligence that makes outreach feel truly personalized. Autobound's Insights Engine surfaces 400+ types of signals including recent news events, funding rounds, leadership changes, hiring patterns, competitive moves, and individual professional milestones. For a company selling to technical leaders, these signals are exactly the kind of context that converts a generic pitch into a relevant conversation starter.

Speed was the second differentiator. Autobound reduced the research-to-draft workflow from 20-25 minutes to approximately 60 seconds. The AI surfaces the most relevant insights for each prospect and generates a draft email that references specific, timely details — all without the rep needing to leave their workflow. This represented a 10x or greater reduction in the most time-consuming part of the outbound process.

Finally, adoption was straightforward. Autobound integrated with Techmagic's existing tools and did not require a fundamental change to the team's workflow. Reps could start using the platform within days of deployment, with the AI-generated drafts serving as both a productivity tool and a training resource for less experienced team members.

The Solution

Techmagic implemented Autobound across their entire sales team to automate prospect research and surface relevant insights for every outreach touchpoint. The deployment focused on three core capabilities.

Automated prospect research. When a rep identifies a target prospect, Autobound's Insights Engine instantly compiles comprehensive research from 400+ data sources. This includes the prospect's professional background, their company's recent news and events, hiring activity, technology stack, competitive landscape, and funding history. The research that previously took 20-25 minutes of manual work is delivered in seconds, formatted as actionable insights that can be directly referenced in outreach.

AI-powered email generation. Using the surfaced insights, 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 the engineering scaling challenges that typically follow product expansion — and position Techmagic's development capacity as a solution. The writing time dropped from approximately 25 minutes to approximately 60 seconds per personalized email.

News and event monitoring. One of the most impactful features for Techmagic was the elimination of manual news scanning. Previously, reps would check 20+ websites and news sources to find relevant triggers for outreach. 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. This meant the team was consistently reaching prospects at the moment of highest relevance.

The Results (5-Month Period)

Over the first five months of deployment, Techmagic tracked results across pipeline generation, efficiency, and ROI metrics. The improvements were consistent across all dimensions.

The 150% increase in monthly meetings was the most impactful result from a pipeline perspective. This was driven by two factors working together: the 53% increase in outbound activity (more emails sent) combined with higher response rates due to better personalization quality. The team was not just doing more — they were doing more of what works.

The 18% increase in SQLs demonstrated that the quality of meetings was not sacrificed for volume. The AI-powered personalization was attracting genuinely qualified prospects, not just inflating meeting counts with low-quality conversations. This translated directly to a 3x ROI on Autobound's cost within the five-month measurement period.

Perhaps the most strategically significant result was the activation of 1,500 accounts that would have otherwise remained untouched. These were companies in Techmagic's ICP that the team simply did not have the capacity to research and reach with personalized outreach. Autobound made it possible to expand coverage to their full addressable market without hiring additional headcount.

What the Team Says

"A vital solution for modern sales! Autobound's triggers keep us current with news and job openings, making personalization effortless through recommended insights."

— Oleksandr Demianyk, Demand Generation Manager

"Great tool for outbound sales! Perfect for ABM strategies, significantly decreasing SDR prospecting time to existing pipelines."

— Mike B., Head of Marketing

Team Survey Ratings (1-10 scale)

Techmagic conducted an internal survey of all Autobound users after the five-month evaluation period. The results reflect strong satisfaction across the board:

• Generate more meetings: 9.3/10
• Easier determining who to contact: 9.6/10
• Differentiation: 9.7/10
• Likelihood to recommend: 10/10
• More difficult without Autobound: 9.3/10

The perfect 10/10 score on likelihood to recommend, combined with the 9.7/10 differentiation score, confirmed that Autobound was delivering unique value that the team could not replicate with other tools or manual processes.

What's Next

Techmagic is expanding their Autobound deployment in two directions. First, they are rolling out the platform to their AE team for mid-funnel deal acceleration — using Autobound's insights to generate tailored follow-up content after discovery calls, referencing specific pain points and competitive dynamics surfaced during the conversation. Second, they are exploring Autobound's API to power an automated ABM program that would trigger personalized outreach based on real-time account signals, allowing the team to reach high-value prospects at precisely the right moment without manual monitoring.