Playbooks

Find people already thinking about outbound: the playbook behind Sellinger's own LinkedIn

Sellinger's own agents wrote to people who had liked or commented on posts about sales automation, AI SDRs or go to market. They connected, opened with no pitch and no link, and followed up every 5 days. Across 27,737 people messaged, 40% replied and 351 showcase meetings were booked. Meetings per person then fell below 1% from June 2026.

Published by Sellinger AI. Numbers and settings checked on 19 October 2026 against the fact register. Report an error.

people messaged on LinkedIn from up to 43 profiles, September 2025 to October 2026: 27,737
connection requests sent, 41% accepted: 68,818
replied: 10,978 conversations: 40%
showcase meetings booked, 33 confirmed held: 351

The scenario

Sellinger sells Sellinger. The audience is founders, heads of growth, sales and revenue leaders and agency owners. Individual contributors and about 60 competing vendors were excluded. The owner states that over 1,500 calls were booked in the last 12 months using on average 7.5 LinkedIn accounts (owner statement, 19 October 2026). The numbers below are the part reproduced from the database.

The configuration

1
Signal
Engagement with a post
Sales tech and go to market content, filtered to decision makers in growth and revenue roles.
2
Day 0
Connection request
68,818 sent; 41% accepted.
3
On accept
An observation opener
One observation about their work. No pitch, no link, no vendor name.
4
+5 days
Up to 3 follow ups
A new angle each time, then a clean exit line.
5
What is this?
One line, then 15 minutes
Name Sellinger, tie it to their words, offer a short showcase.

The result

Opener style and list type
Comparison	Result
Intent signal list against untagged list, October 2025	54.6% against 37.2% replied; 4.54% against 1.16% meetings per person messaged
Observation opener against question opener, same month	February 43.5% against 33.5%, March 45.2% against 33.6%, June 51.9% against 37.3% replied
First message alone against all touches	26.5% against 38.4% replied
Meetings per 100 people, by first message month	2.4 in November 2025, 1.3 in March 2026, 0.7 in June 2026, 0.0 in September 2026 (0 of 728)

Reply rates held between 35% and 45% for twelve monthly cohorts. From July part of the traffic got a free trial link instead of a call, which these numbers cannot see.

What did not work

Meetings per person fell while replies held, which points to the list mix and the offer, not to speed.
Cutting reply time from 19 to 2 minutes did not lift meetings.
Only 5 of 30,000 openers mentioned the post that put the person on the list. That is the next experiment.
The source of the signal matters: AI SDR vendor audiences booked 2.6% to 3.7%, enterprise sales voices under 0.4%.
Of 351 meetings booked, 33 are confirmed held.

Common questions

What is the difference between 1,500 calls and 351 meetings?

1,500 is an owner statement of all calls booked in 12 months. 351 is the number of showcase meetings booked through the agents' booking link that we can reproduce from the database for the LinkedIn window, one per person.

Why start from a signal?

In October 2025, signal lists replied at 54.6% and booked four times as many meetings per person as untagged lists.

Does it still work?

Reply rates held but meetings per person fell. We read that as a list and offer problem, not a proof that signals stopped working.

How many accounts does it need?

The owner statement says on average 7.5 LinkedIn accounts. Each account has its own daily limits.

Sources and method

A playbook here is a configuration that ran, with the outcome it produced and the base of every number. It is not a template promise: your audience and offer decide your own rates. Source: Sellinger case study, own workspace, read only, snapshot 9 October 2026. The 1,500 calls figure is an owner statement, 19 October 2026.