Every new or changed record reaches your dialer within seconds, with automatic retries and a per-record log. Your reps work fresh leads while they're warm, and nothing drops without you knowing.
For outbound contact centers and RevOps teams pushing Salesforce or HubSpot leads into a power dialer.
From $199/mo + one-time setup. Typically live in a week or two.
Salesforce and HubSpot today. Zoho, Dynamics 365, and Pipedrive are built as part of your implementation.
CRM to dialer, live
Salesforce to Dialer · Added to Q2 Outbound campaign
Phone and timezone changed in CRM · Dialer record updated in place
Dialer API rate-limited · Auto-retried, landed on attempt 2
That is the industry benchmark, and the odds fall off fast: success drops roughly 10x within the first hour. A sync that runs on a batch timer hands that window away. The cost shows up two ways, every month.
Example below: a 50-seat outbound center at a $22/hr loaded agent cost, running 20 business days per month.
You choose the events that should fire. We handle the rest of the configuration.
A Salesforce package, or a native webhook for other CRMs. A few clicks.
Turn on the objects and events that should fire. Add filter rules if you want.
We wire your CRM to dialer mappings. You can change them later, no redeploy required.
Seconds after a CRM change. Retries, logs, and dashboards included.
Worth noting before you book a call.
Transient errors retry immediately. Rate-limited records drain when your dialer's API recovers. Permanent failures get flagged for review, not silently burned through on the fifth attempt.
Every record produces a log line with status, timestamp, and reason. A counter that reads "500 pushed, 12 failed" tells you nothing about which records to fix. That is the failure mode this is meant to eliminate.
Records reach the dialer within seconds of a CRM change. Native CCaaS connectors typically enforce a one-minute batch floor at best, and CSV-based syncs are slower still.
We scope it, build it, and prove it in your environment first. You see real records landing in your dialer before a dollar changes hands. If it never goes live, you owe nothing.
Retries, logs, dashboards, and per-record visibility are part of the product, not sold separately. Implementation is a one-time fee. The monthly cost is per record update, not per seat.
Salesforce and HubSpot live today. Zoho, Dynamics 365, and Pipedrive are built as part of your implementation.
Records reach the dialer within seconds of a CRM change, not at the end of a polling interval.
Every sync attempt produces its own log line with status, timestamp, and reason. Filterable in the dashboard or exportable for support.
Phone normalization, timezone routing, dedupe rules, lead scoring. Written as code in your package and versioned alongside it.
Failed records retry with backoff. Persistent failures route to a queue with the full error attached, so nothing disappears silently.
We build the package and document it. Once it's running, it's yours to clone or extend for additional campaigns.
One dialer at launch, more CCaaS platforms on the roadmap. Tell us which one you're on and we'll prioritize.
Most native list-sync connectors run on a batch timer, so new and changed records lag behind or silently stall between cycles. QuickFlo pushes every create and update to your dialer within seconds and logs every attempt, so your dialer list reflects your CRM in near real time instead of whenever the last batch happened to run.
Yes. Whether you run Genesys, Zoom CX, Webex CC, Twilio, or Five9, QuickFlo replaces brittle, batch-based native list sync with real-time sync you can actually observe and debug, with per-record retries and an audit log for every push.
Native connectors usually sync on a batch timer and report a count like "500 pushed, 12 failed" with no way to see which records failed or why. List Sync fires per record within seconds and writes a log line for every attempt with status, timestamp, and reason. You can see exactly what happened to any single lead.
Failures are classified, not silently retried into oblivion. Transient errors retry with backoff. Rate-limited records drain when your dialer's API recovers. Permanent failures route to a queue with the full error attached, so a bad record gets flagged for review instead of disappearing on the fifth attempt.
Most syncs are running in production within a week or two. Discovery, CRM and dialer configuration, field mapping, transform setup, and go-live testing are all part of the one-time implementation. It is not a multi-month IT project.
Salesforce and HubSpot connect today; Zoho, Dynamics 365, and Pipedrive are built during your implementation. On the dialer side we work across CCaaS platforms (Genesys, Zoom, Five9, Webex, Cisco). Prebuilt steps exist for Zoom and Five9 today, and the rest connect through our connections layer or are built as part of go-live. Tell us your stack and we'll confirm scope on the call.
Pricing is tiered by record updates per month with a clear ceiling on each tier, so it stays one predictable line item. In practice it is a fraction of the agent hours you'd otherwise burn dialing stale leads. And you don't pay anything until the sync is live in production.
Priced per record update, not per seat. Retries, logs, and dashboards are part of the product, not add-ons.
Small teams, single CRM
Up to 50k record updates/month
+ $495 one-time setup
Growing contact centers
Up to 300k record updates/month
+ $995 one-time setup
High volume, multi-campaign
Up to 1M record updates/month
+ $1,995 one-time setup
5M+ records, complex routing
5M+ records / custom needs
Custom setup based on scope
One-time implementation fee covers discovery, CRM + dialer configuration, field mapping, transform setup, and go-live testing.
A record update is any change sent to your dialer: an add, an edit, or a removal. The same lead counts again each time it changes. Execution logs, retries, and field transforms are included. They are not counted separately.
You don't pay until your sync is running in production.
30 minutes on a call. We'll scope the work and quote it then. If we're not the right fit, we'll say so.