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The Problem
Anyone selling to small and medium sized businesses (SMBs) has seen traditional contact databases fall short for them. You might have even tried hacking together an online data scraper just to try and fill some of the missing gaps.
ZoomInfo or Apollo will tell you two HVAC companies are both “SMB, 1–10 employees, $1–10M revenue.” In reality, one is a three‑person shop running out of a driveway, and the other has a commercial yard with 40 trucks and a dispatcher. Those are two different motions, two different messages, two different ACVs. Flattening them into the same bucket leads to missed pipeline and wasted cycles.
Orbital was built for that gap. We collect the niche, high‑signal details that revolutionize how close you ever thought you could get to your real Ideal Customer Profile (ICP), then package them into a daily workflow your reps and marketers use without needing to stitch a bunch of tools together or try to code something up yourself in-house.
What We Do
Orbital is an agent‑driven sales intelligence platform for teams selling into fragmented, offline, and long‑tail SMB markets. Instead of selling a static list, we run purpose‑built agents that:
Discover every business in your true TAM, even if it doesn’t show up on LinkedIn.
Enrich each account with vertical signals that matter in your world (tech stack, licensing, service mix, review velocity, footprint, hiring, ad spend, even physical attributes from imagery).
Score each account based on the defining characteristics that matter most for your ICP.
Activate the data in your stack: launch outbound, qualify inbound, and route to the right owner automatically.
Customers using Orbital stop guessing with broad firmographics and start operating on specific, explainable signals that raise connect rates and win rates.
Who it’s For
If your buyers don’t live on LinkedIn, don’t have their mailing address listed online, and have websites “under construction,” Orbital is for you.
As you know, fit in these SMB markets is defined by signals that only your vertical would ever actually care about. The generic headcount and revenue filters just don’t mean much. For example, if you sell to logistics and fleet teams, the right account is a business within 50 miles of an Amazon distribution center using electric delivery vehicles and actively hiring drivers, not a storefront with street parking and no fleet.
Home services, med‑spas and clinics, fitness and restaurants, local retail and franchise networks, warehouses and light industrial, and any niche where “the long tail” is where the revenue is - this is what we know and understand better than any other tech you’ve seen.
Real examples of how we think about SMB sales signals
These are the kinds of signals and use cases our teams deliver in the field:
HVAC, broken down. We separate the owner‑operators with two vans from the multi‑location shops with commercial fleets. Some of the signals we track include field‑service software (ServiceTitan, Housecall Pro), equipment brands installed (Trane, Carrier), Google Ads on/off, Yelp paid vs free, location count, and whether it’s a true shop or a home‑based address. That changes the pitch, the price, and the playbook.
Roofing quality proxies. We parse before‑and‑after job photos from sites and social to infer tile brands and project types. Premium materials correlate with willingness to invest in marketing tools and customer experience. It’s not perfect, but it cuts a big chunk of noise and finds buyers who act like your best customers.
Warehouses without LinkedIn breadcrumbs. For an industrial staffing platform, we mapped facilities using satellite imagery and zoning data, estimated headcount from lot size and building footprint, then overlaid hiring momentum. The result was a TAM the team could actually plan around.
Marketing with first‑party‑grade targeting. Need to run ads to multi‑location med‑spas with online booking and Spanish‑speaking staff in specific metros? Those segments exist in Orbital as real audiences. Creative and messaging can now match the reality on the ground.
Here's our philosophy: If a human could find it with infinite time, we can do it at scale.
You don't have to settle for what's easy to find. Don't let ZoomInfo and Apollo's filters make you think that hyper-specific, crazy, random attributes are impossible to find.
Why teams stop trying to build this themselves
We sometimes run into potential customers who want to build their own enrichment engines, and we can’t blame them, they’ve been under the expectation that if they want this level of granularity, they need to do it themselves. But the first four issues they hit are usually going to be:
Data pipelines that break without warning
High false positive & false negative rate with AI enrichment
Having to buy and wrangle together several different tools
Precious engineering hours spent on a tool that’s not your core business
Even if you get it working, it’s hard to keep fresh, govern, and adopt across teams. With Orbital, our software is just the entry point, service is what makes us stick. Our Experts fingerprint your market, tune agents, and keep the workflows healthy so your team can focus on what matters: selling.
The Promise
Better data is the baseline. The real win is faster decisions with less waste: tighter targeting, cleaner handoffs, higher connect rates, and fewer dead ends.
We love working with hard-to-track industries. If you think you have an unbeatable, hard‑to‑reach SMB segment, please send it our way, and give us a chance to show you what we can do!
Want to see it with your ICP? Book a walkthrough and we’ll build a sample segment with your exact signals.
