We find the right people on LinkedIn, write to them like a human would, and hand you the ones who want to talk. A real person reads every message before it sends. You show up and close.
Founder-led companies need more outbound. The alternatives are inconsistent personal prospecting, or generic automation that sends messages you would never send yourself. Inroads is built for the space between.
"I know I should be prospecting, but I don't have time to do it consistently, and I don't want some tool spamming my network."
"Every week, relevant people are being identified and approached intelligently, and I spend my time talking with prospects instead of hunting for them."
Not a sequence machine. A managed motion that starts with your ideal buyer and keeps human judgment on every message before it's used.
A custom AI connected to LinkedIn builds the list from your ideal client profile, with hard filters. No visible offer, no clients, no recent activity? Skipped.
AI reads each person's real profile and posts and drafts from scratch. No merge-field personalization, no templates.
A trained person reads every message and approves, fixes, or kills it before it's used.
Sent in your name, inside LinkedIn's limits, with relevant follow-up that isn't a repetitive sequence.
Genuine interest gets recognized fast and handed to you with the context of why they said yes.
Technology makes the work faster and smarter. Human judgment protects relevance, context, and your voice. Your LinkedIn profile is years of credibility and relationships. Scaling prospecting shouldn't mean surrendering it to a spam machine.
| Industry | Ours | |
|---|---|---|
| Accepted | 26.4% | 46.6% |
| Replied, of those accepted | 9.4% | 28.4% |
| Replies that were positive | not published | 78.5% |
| Replies that became a conversation | not published | 37.5% |
The first two we can benchmark. The last two we cannot, because there is nothing to benchmark them against.
Ours: 65,000+ requests, acceptance measured over 30+ days. Positive share from a blind read of 1,000 sampled replies. Industry figures from published 2026 LinkedIn outreach benchmarks. These are observed results across many campaigns, not a guarantee for yours.
The objective is a legitimate business conversation with a plausible buyer. This definition is our contract language, our reporting language, and our sales language, so we measure success the same way you do.
When was the last time someone thanked you for a cold message? These are replies from the people on the receiving end.
"10/10 for your intro message. You actually read one of my posts and didn't blind message me."
"You get the internet award for today for the customized intro message!"
"It's refreshing to see someone truly optimizing outreach in a non-spammy, high-conversion way."
"I have a ton of respect for the way you approach outreach. You've clearly developed a talent for breaking the ice."
"Your approach to reaching out on LinkedIn has earned my trust, so I'm open to learning more."
"Nice cold outreach! How can I help?"
"First pitch to use an actual connection strategy. Not bad."
"Nice approach. The idea is very interesting to me."
More conversations with people worth talking to, without turning your LinkedIn reputation over to a spam machine.
Ninety days is enough time to establish targeting, gather response data, refine signals and messaging, and judge real commercial performance. Thirty days pushes both of us to judge a relationship channel too fast. Annual contracts ask for trust before it's earned.
See what we'd send firstAdds email, texting, and more buyer intelligence on a sales intelligence platform we implement and run. Also available: AI voice and text for the inbound leads you're losing. See the full package →
Before broader launch, you review targeting criteria, representative prospects, message strategy, and initial samples. You know what's being said in your name.
If a meeting clearly falls outside the qualified conversation standard we agreed on, it doesn't count. No incentive to reward calendar volume over quality.
The first 90 days establish a real baseline. After that it's month to month. Enough time to do the work properly, then an expectation that we earn the business every month.
Consultancies, agencies, expertise businesses, and a dedicated motion for staffing and recruiting. The common thread: referrals are high-trust, but they don't arrive on command.
We justify the engagement through your customer economics, not the cost of a message. Expected value of a qualified conversation is gross profit from a new client, multiplied by your close rate on genuinely qualified first conversations.
Example: a $20,000 gross-profit client and a 20% close rate makes each qualified conversation worth about $4,000 across a large enough sample. An economic model, not a revenue guarantee.
$20M+ closed in his own sales career, all self-sourced, no SDR. Jonathan built Inroads because every AI outreach tool he tried sent messages he would never send himself, and every agency he watched sold automation they never used on their own pipeline.
He runs this exact system on his own pipeline daily from the Front Range. The dashboard you'll see on the first call is his. The conversation that got you to the call probably started in it.
They hate "just circling back." They especially hate discovering someone has been sending those messages from their own account.
Read it →Nobody lands a client from one message. There are three ways to run the race, and only one of them still works in 2026.
Read it →An automation vendor measured 13.2 million connection requests and published numbers that hurt its own pitch. The channel is fine. The template is dead.
Read it →Everything on this page, the positioning, the offer, the standard, the messaging, the first-call structure, came out of a 10-day sprint with Traction Bridge, run by Don Williams, who has spent 40 years building revenue engines for founder-led companies. We didn't guess at any of it. We built it in order, in ten days, and then ran it on our own pipeline first.
Who we serve, what problem we own, and the reasons a buyer should believe us before the first conversation.
Value shaped into something with clear scope, clear economics, and a reason to act now. That's the Conversation Engine above.
Buyer-ready language for the website, the outreach, and the sales conversation. One story, told the same way everywhere.
Who to contact first, and why they're worth contacting now. Buying windows, not just a list.
A first-call structure that diagnoses before it presents, and support on the first live conversations so momentum starts immediately.
We went through this because it's the same discipline we sell: fewer moving parts, a clear standard, and a person accountable for every piece. If your company is $2M to $25M, technical, and growing slower than it should, Don is who we'd send you to.
Inroads Agency is a LinkedIn outbound agency in Woodland Park, Colorado, for founder-led B2B companies. A custom AI builds the prospect list and drafts every message from the prospect's real profile and posts, and a person reads every message before it sends. The product is qualified buyer conversations, not connection volume or calendar clutter. Across 65,000+ connection requests, 46.6% were accepted against a 26.4% industry figure, 28.4% of those replied against 9.4%, 78.5% of replies were positive, and 37.5% became a conversation. The flagship engagement is $4,000 a month on a 90-day initial term. It was founded by Jonathan Dickey, who closed $20M+ in his own sales career and runs the same system on his own pipeline daily.
That may be exactly right. The useful question is not whether someone is doing LinkedIn, it's whether it's consistently producing conversations with people you genuinely want to meet. If it is, we wouldn't change anything.
That's one reason Inroads exists. Automation scales activity very quickly, including bad activity. We use technology where it helps and keep human judgment in the process.
Neither would we. The objective is not impersonation. It's a system around your business-development activity with clear boundaries for language, targeting, and handoff. You approve the targeting and the messaging before launch.
It may not. The first question is whether enough of your actual buyers are there. If they aren't, we wouldn't recommend LinkedIn as the primary channel. If they are, we can separate a channel problem from an execution problem.
That's a strong position. We're not trying to replace referrals. We're adding something referrals can't give you: control over who you'd like to start a relationship with next.
We don't manufacture calendar volume by putting unqualified people on your schedule. We'd rather agree on exactly who qualifies, show you who we'd target, and then measure actual qualified conversations and pipeline.
We run inside LinkedIn's limits and every message is read by a person before it's used. Volume spikes and templated sends are what get accounts flagged, and we do neither. We promise human judgment over message quality, not absolute platform safety, and anyone who promises the latter is overselling.
Give us 3 to 5 people you would genuinely like to meet. We'll show you the kind of LinkedIn outreach we would create for them, before you hire us.
Most agencies ask you to believe their personalization is better. We'd rather show you. We build samples for companies that fit the profile above. If it's not a fit, we'll tell you why.
We'll look at your prospects and reply within two business days.