How Baur Software doubled its LinkedIn network while scaling authentic outreach with Gojiberry AI
Overview
Baur Software is a consultancy founded by Todd Baur that helps companies transform AI prototypes into production-ready systems and go-to-market strategies.
The firm combines AI-powered research and automation with a network of more than 150 advisors and experts who support companies moving complex technologies into real-world deployment.
For years, most of Baur Software’s business came from Todd’s personal reputation and professional network.
But as the company matured its go-to-market motion, Todd wanted to build a scalable acquisition system, without sacrificing the authenticity that drives trust in consulting relationships.
The challenge
Like many founder-led consulting businesses, Baur Software initially relied heavily on word-of-mouth and personal connections.
While effective early on, this approach created several constraints:
growth depended largely on Todd’s personal network
outreach was difficult to scale consistently
many automation tools felt overly aggressive and impersonal
Todd explains the core problem:
“I wanted to automate parts of outreach without damaging relationships or the user experience.”
As an engineer transitioning into a more structured marketing approach, he also needed better visibility into the pipeline.
Specifically, he wanted to:
understand which outreach stages performed best
identify the most engaged prospects
prioritize conversations based on real signals
However, most tools he evaluated either over-automated outreach or lacked the flexibility required to maintain a thoughtful, relationship-driven approach.
The solution
Baur Software implemented Gojiberry to build a LinkedIn-first acquisition engine combining automation with human interaction.
Instead of replacing conversations, the goal was to create more opportunities for meaningful ones.
Hybrid outreach with human takeover
Todd built a four-step LinkedIn workflow inside Gojiberry.
Each step includes a critical safeguard:
Exit on reply.
As soon as a prospect responds, automation immediately stops and the conversation becomes human.
“The moment someone replies, automation stops. That’s when it becomes a real conversation.”
This structure allows Baur Software to scale outreach without losing authenticity.
Using signals to prioritize leads
Instead of reaching out blindly to ICP lists, Todd prioritizes prospects using signals such as:
engagement with LinkedIn content
people viewing or interacting with posts
website behavior tracked via Google Tag Manager
existing network members and advocates
These signals are then routed into HubSpot, where prospects can be segmented and prioritized for follow-up.
The workflow
Baur Software’s acquisition system connects multiple tools into a single pipeline.
Signal detection
↓
Gojiberry workflow automation
↓
Exit on reply → human conversation
↓
Lead prioritization in HubSpot
This structure allows Todd to identify the right moment to start conversations rather than pushing generic outbound messages.
Results
Since implementing Gojiberry, Baur Software has significantly expanded its professional reach.
Network growth
Todd’s LinkedIn network grew from roughly 1,500–2,000 connections to nearly 4,000.
This expansion increased:
visibility in the ecosystem
inbound interest
referral opportunities
Because Baur Software sells high-value consulting engagements, sales cycles typically last six weeks or more.
As a result, success is measured primarily through network expansion and high-quality conversations, rather than immediate closed deals.
Todd explains:
“The biggest value is the growth of the network and the visibility it creates.”
Why this approach works
The key insight for Baur Software is that automation should support relationships — not replace them.
By combining signals, automation workflows and human interaction, the company can:
scale outreach while staying authentic
prioritize the most relevant conversations
maintain a high-quality brand voice
This approach reflects Todd’s broader philosophy for AI adoption:
“Use AI to do things fast. Humans do it right.”
Product experience
Todd evaluated several tools before selecting Gojiberry.
The key factors were:
strong LinkedIn integration
intuitive ICP-to-workflow setup
flexible personalization (AI-assisted or manual)
detailed stage-level analytics
But the most important capability was control.
“The exit-on-reply feature is critical. It lets automation start conversations while keeping the human element intact.
What’s next
Baur Software plans to expand its use of Gojiberry by running multiple signal agents simultaneously to accelerate prospect discovery.
Todd is also exploring deeper integration between signals, content engagement and CRM data to further improve prioritization.
The goal is to continue growing the network while identifying the most relevant opportunities earlier in the funnel.
Final takeaway
For founder-led consultancies, scaling outreach without losing authenticity is one of the hardest challenges in go-to-market.
By combining signal-based prospecting, workflow automation and human conversations, Baur Software built a system that expands its network while preserving the quality of relationships.
As Todd summarizes:
“The goal isn’t to automate relationships. It’s to create more opportunities for real conversations.”
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