Here’s the good news, Google says your ads are converting and your client’s phone is lighting up!
The bad news is that you have no idea whether those callers were tire-kickers, spammers, job seekers, or legitimate customers.
So you hop on Reddit looking for advice. You post a question on r/PPC and the majority of responses suggest “use CallRail."
Solid suggestion. CallRail is the gold-standard for certain types of call tracking, but here’s the problem if you’re specifically doing Lead Gen:
Basic CallRail subscriptions can only tell you that your ad “converted” into a call, and which campaign that call came from. And for some clients, that might be enough to satisfy them, but for others, they’ll want proof that the calls they paid for turn into real customers.
So if your client happens to fall into the latter category, then here are your options:
- Manually listen to each call recording, (but this doesn’t scale).
- Manually read each call transcript, (neither does this).
- Download each call or transcript and feed it to an AI, (better, but still manual).
- Pay up for CallRail “Conversation Intelligence”, (at $150/mth, this is a margin killer).
- Duct tape a bunch of different tools together and automate, (welcome to Subscription Fee Hell).
Let’s break each option down…
Option 1 and 2 are margin burners. Don’t do it unless call volume is extremely low. If call volume is low, you have a different problem anyway.
Option 3 reduces the margin burn a little bit, but you’re still manually downloading each call. If your client still uses a landline then you might not even have this route.
Option 4 is pretty much the same as Option 3, only now you’re paying CallRail a premium so their AI can essentially guess at the outcome of the call. It’s not deterministic at all. In other words, it gives you high-cost picture that’s fuzzy at best.
Finally, let’s tackle Option 5…
Jump on Youtube and you’ll find many step-by-step automation guides that show you how to automate your own solution using orchestrated apps. This isn’t a bad approach per se, but here’s the hard truth. Orchestrating all the apps you’ll need to do this with acceptable levels of quality and cost is tougher than it looks.
Here’s the reality. While Option 5 might seem appealing, at the end of the day, the thing you need to ask yourself is, “are you in the Lead Gen business, or the call analysis business”?
If it’s the former, then you’re better off choosing a “DFY” call tracking app like Patch that gives you the proof your client wants, without the manual labour, high cost or ongoing maintenance and subscriptions.
How To Track Call Outcomes Without CallRail
Track the Outcome, Not the Activity
As noted above, most entry level call tracking subscriptions will only report call activity and source, not the result. This is sub-optimal if the goal you really want to measure is, “how many actual customers did we create?”. Patch on the other hand, starts with outcomes as table stakes.
Deterministic Call Analysis
Unlike options 3 and 4 above, a purpose built tool like Patch provides the complex deterministic logic needed to properly analyze calls “out-of-the-box”. Rather than just feeding the transcript to an AI, Patch adds deterministic logic and analysis to properly handle first-time callers, missed calls, voicemails, and ambiguous conversations—ensuring outcomes are classified based on real business context, not just language patterns. This allows Patch to produce consistent, trustworthy results at the call level, even when transcripts are incomplete, noisy, or misleading, which is critical for accurate conversion tracking and KPI integrity.
Purpose Built > Custom Built
Unless you enjoy spending your days reading tons of documentation and resolving countless edge cases, you’ll want to think twice about building a custom solution with tools like Zapier or n8n.
The reality is: rolling your own sounds simple, until it isn’t. What starts as “just send transcripts to an AI” quickly turns into a tangled web of zaps, webhooks, retries, and brittle logic. One step breaks, the whole thing silently fails. A webhook times out, a transcript is incomplete, or a condition doesn’t match and suddenly your data’s wrong and you’re in debugging hell for hours.
Then there’s all the edge cases you don’t see.
Missed calls with no transcript. Voicemails with partial audio. Existing customers calling back. Conversations that sound like bookings—but aren’t. You end up layering more filters, more conditions, more “just in case” logic… until your workflow is impossible to reason about.
At that point, you’re not building a lightweight automation anymore. You’re trying to rebuild a call classification engine inside tools that were never designed for it.
And even after all that effort, you still can’t fully trust the output. Because without deterministic logic, AI alone is inconsistent. It guesses. It drifts. It produces different answers to the same problem depending on phrasing or noise in the transcript.
That’s the gap purpose-built tools like Patch close.
Instead of stitching together fragile workflows, Patch gives you a system that already understands the messy reality of phone calls—out of the box. Deterministic logic handles the edge cases. AI fills in the gaps. And the entire system is designed to produce consistent, defensible outcomes at the call level.
Besides, wouldn’t you rather spend that time optimizing your campaigns, showing your results, and prospecting new customers?
Of course you would.
Bottom Line
At the end of the day, your client really only cares about ROI.
The only question left is how to do get there in an affordable, accurate and automated way that’s easy to do and doesn’t needlessly burn margin.
Sources & References
- CallRail pricing: https://www.callrail.com/pricing