Outbound calling
Outbound calling phones local and small Organizations, using a voice Agent only where Consent is recorded and a Human where law requires one.
Outbound calling phones local and small Organizations that answer the phone faster than email. A voice Agent calls only where Consent is recorded, and a Human calls where the law requires one.
Ratings
| Dimension | Rating | Reads |
|---|---|---|
| Scalability | 2 of 5 | low: higher grows further with spend or automation |
| Cost | 3 of 5 | medium: lower costs less per Customer |
| Latency | 1 of 5 | very low: lower answers sooner |
Budget
| Property | Value |
|---|---|
| Tier | $1k |
| Minimum effective budget | $300 a month |
| Monthly spend | Yields |
|---|---|
| $300 | Numbers, voice minutes and a consented list scrubbed against do-not-call registries. |
| $1,000 | Callbacks on every inbound request plus one consented calling list a week. |
How it runs
Lists are scrubbed against do-not-call registries before any number dials. Every call states who is calling and why. Callbacks on inbound requests come first, and one consented list runs each week.
Processes
Runs as Outbound, accountable to the Marketing Team.
Fits
| Fits | Value |
|---|---|
| Family | demand |
| Shelf | Seed: finds the first Customers (Launch) |
| Moves | Play-sourced Customers |
| Motions | b2b |
| Venues | Google Business Profile, Yelp |
| States | Live, Repeatable, Scale |
Loop
| Step | Value |
|---|---|
| Hypothesis | Calls placed at a local Organization’s quiet hour win more Customers than calls placed at any hour. |
| Measure | Play-sourced Customers over 30d, at least 200 observations |
| Learn | The learn step reads the Readout, records Evidence and a Decision, and drafts the next Variant. |
Example
A Startup selling online booking to independent plumbers calls back every web inquiry within five minutes. The callbacks close 18 percent of inquiries, against 4 percent for email replies.