Your CRM Data Is Only as Good
as What the Dialer Writes Back to It.
HP gives RevOps a dialer that writes accurate, structured data to GHL natively — no middleware, no manual entry, no Zapier that fails silently. Every call outcome is a data point. Every data point is real.
The Dialer Is Where Revenue Data Goes to Die.
RevOps builds the reporting infrastructure. Then the call team runs on a dialer that feeds garbage data into it. Here's what that actually looks like:
Reps self-report their dispositions. 'Appointment Set' means different things to different reps. Your pipeline data is a collection of opinions, not facts. Forecasting on it is guesswork.
The dialer integrates via Zapier. Zaps fail silently. You built a beautiful GHL workflow on top of data that sometimes doesn't exist. You find out during a quarterly review when the numbers don't add up.
Call duration, pickup rates, and talk time live in the dialer's reporting. CRM data lives in GHL. They don't speak to each other. You spend 3 hours every week manually reconciling two systems that should be one.
The dialer creates new GHL contacts instead of updating existing ones. Your pipeline has phantom duplicate contacts. Stage conversions look wrong. Attribution is broken. You can't trust any of the funnel data.
You can't tell which lead sources produce the highest appointment-to-show rate because the dialer data and the lead source data are in different systems. You optimize for CPL instead of revenue.
How HP Gives RevOps Clean Data
Native GHL API — Structured Data, Every Call
HP writes call data directly to GHL via native API on every call end: duration, pickup/no-answer, disposition, recording URL, rep ID, and campaign source. No rep can forget to log. No Zap can fail silently. The data structure is consistent and machine-readable — not free-text notes that vary rep to rep.
Disposition Mapping You Configure Once
Map HP dispositions to GHL pipeline stages, custom fields, and workflow triggers. 'Appointment Set' automatically moves the contact to Booked, fires the confirmation sequence, and increments the conversion counter. 'Not Interested' applies DND and removes from queue. You define the logic once. It runs on every call forever.
Immutable Call Logs — No Rep Can Edit Them
Dialer logs are written by the system, not by the rep. Call duration is measured by the dialer. Pickup/no-answer is detected by the dialer. Disposition is entered immediately post-call and timestamped. Reps can't go back and change yesterday's numbers. Your reporting reflects what actually happened.
No Duplicate Contacts — Deduplication Built In
Before HP creates a GHL contact, it checks for an existing match on phone, email, and GHL ID. If it finds one, it updates. If not, it creates. Your pipeline stays clean. Stage conversions are accurate. Attribution works. You stop spending Monday morning de-duplicating 300 phantom contacts.
Cross-Source Funnel Reporting
Every call is tagged with its originating lead source from GHL. Pull a report and see which Facebook campaigns, which Google audiences, and which organic sources produce leads with the highest appointment rate, show rate, and close rate — not just the lowest CPL. Optimize the budget for revenue.
Sub-Account Architecture for Multi-Client Ops
Running multiple brands or client accounts? HP's sub-account structure mirrors GHL. Each account is isolated — separate contacts, numbers, campaigns, reporting. You get a consolidated admin view across all accounts while keeping client data air-gapped. One system. Clean separation.
See Clean GHL Data From Day One
20-minute demo. We'll walk through the native GHL sync, disposition mapping, and funnel reporting — with your actual CRM setup in mind.
Used by RevOps teams managing multi-client GHL agency operations.