Backstage sales team relied heavily on traditional sales strategies only, finding leads via cold-calling and fairs, which was slow, inconsistent and event based, and highly dependent on momentum.
While they had a clear picture of their ideal customer profile (ICP), reaching the right decision-makers at scale was a bottleneck as this is a time consuming exercise. Turning leads into deals isn't the problem, their product market fit has been established already.
They know who to reach out to when searching for the right people, but doing it on a large scale was a more challenging exercise. From trade fairs to connecting to the right stakeholders and converting clients that need developers, the challenge was sitting in hitting the right people, at the right time, in high volumes.
The key problems included:
Low volume of qualified leads, due to manual searching and event based finding.
Time-consuming manual research for each prospect.
No automated outreach system that operates based on AI segments.
Without a scalable system, even the best sales pitches couldn’t reach enough of the right people, limiting pipeline growth and slowing expansion into new markets.
To get grip on the right ICP, we've started an exercise together with leadership on what their ICP actually looks like and what resources would show signals of buying intent.
After identifying target companies, we built a multi-layered enrichment engine to ensure every prospect that enters our pipeline carries real buying intent — not just demographic fit.
Step 1 – ICP Definition & Signal Framework
We started by building a precise Ideal Customer Profile for Backstage IT: industry vertical, company size, tech stack indicators, and decision-maker seniority. But static ICP criteria alone don't find ready buyers — so we layered in dynamic buying signals. The most valuable: open developer vacancies. A company actively hiring engineers signals urgent need, budget, and urgency. These companies bypass standard scoring and land directly in the high-priority tailored outreach queue.
Step 2 – AI-Powered Enrichment & Lead Qualification
Once a company matched the ICP, we didn't stop at basic firmographic data. Our enrichment engine pulls from LinkedIn profiles, company websites, job boards, and contact databases to build a 360° prospect record: technology stack in use, team growth trajectory, decision-maker mapping, and intent signals. Every stakeholder is profiled by their actual decision-making authority — budget holder, technical evaluator, or influencer — so outreach is directed at the right person with the right message from day one.
This enrichment layer is what separates a raw lead list from a qualified pipeline. By the time a prospect enters our outreach sequences, we know their pain points, their urgency indicators, and the business context that makes Backstage IT's offer relevant.
Step 3 – Scoring Engine & Pipeline Routing
Enriched leads flow into a scoring model that weighs firmographic fit, buying signals, and behavioral data. Score thresholds determine routing: high-confidence prospects go into tailored outreach, lower-scoring contacts enter mass outreach sequences. These buckets aren't static — a prospect who accepts a LinkedIn invite immediately moves into tailored flows regardless of initial score, and leads that hit a high close-confidence threshold get escalated to direct follow-up.
Step 4 – Multi-Channel Outreach
Qualified leads enter automated sequences spanning LinkedIn and cold email, each calibrated to the prospect's profile and bucket. Tailored outreach is personalized around the specific signals we found during enrichment — referencing their hiring activity, tech stack, or growth stage. Mass outreach uses broader messaging but is still ICP-filtered, keeping response quality high.
Step 5 – Deliverability Infrastructure
To protect send reputation and ensure messages land, we implemented inbox rotation across multiple sending domains, achieving a 98% inbox placement rate across all campaigns.
We built a fully autonomous lead-generation and outreach system for Backstage IT.
It sources ICP-qualified leads from multiple live data streams and requirements like hiring and more, enriches them with up-to-date business intelligence, and instantly initiates tailored outreach across LinkedIn and email.
The solution doesn’t just save time, it fundamentally changes the pace of sales.
We are now able to reach out to the best leads, based on intent and based on showing buying signals online. Instead of days of manual research per lead, the system finds tens of thousands of high-fit prospects in minutes, automatically starting conversations that convert.
Beyond the numbers, the impact was strategic and helps Backstage IT to be on top of the ball, and convert clients that show signals faster then the competition.
The team can now focus purely on relationship-building and closing deals, while the system handled the heavy lifting of sourcing, qualifying, and initiating contact. The Sales Engine is capable of self-learning what works and distributing it's capacity.
Within weeks of deployment, Backstage IT’s sales team had access to a lead pipeline that was previously unimaginable in volume and quality.
Key Results
of messages successfully reached the inbox
open rate on AI-personalized messages.
of all leads replied
