LinkedIn outreach
LinkedIn outreach for SDRs and BDRs: a daily routine that books meetings
By Asen Levov, co-founder of Sellinger. Published . Last updated . 8 minute read.
An SDR or BDR gets meetings from LinkedIn by working a small, well chosen list every day: connect without a pitch, open with one specific question, follow up with a new angle, answer replies within the hour and hand qualified people to the account executive. Measure replies that turn into meetings, not invitations sent. An AI agent can take the repetitive part so the rep spends the day on conversations.
Most SDR teams treat LinkedIn as a volume channel and then wonder why the account gets restricted or the replies are polite brush offs. The reps who book from LinkedIn tend to work it like a conversation channel with a quota, which is a different habit. This post is the routine.
What is different about LinkedIn for an SDR?
Email is a list problem. LinkedIn is a reputation problem. Every invitation carries your face and your name, and prospects can see who else you work with, what you post and how long you have been in the job. That cuts both ways. A real profile and a specific question get more trust than any email, and a generic pitch costs more than an ignored email, because the prospect remembers who sent it.
LinkedIn also limits you in ways email does not. Invitations are capped, accounts can be restricted, and LinkedIn's own help page on prohibited software says it does not permit third party tools that automate activity on the site. Read LinkedIn's terms of service and automation before you choose any tool, including ours.
Who goes on the list?
Start from the accounts your account executives want, then find the people. A good SDR list on LinkedIn has three layers:
- Named accounts. The companies your team has agreed to work. Search people at those companies by title.
- People already in the conversation. Prospects who liked or commented on posts about the problem you solve, or about a competitor. In our own outbound most prospects came from lists like these.
- Triggers. A job change into a buying role, a company hiring for the team you sell to, or a funding round.
Skip the long tail of loosely matching titles. In the Sellinger case study, intent signal lists replied at 55% in October 2025 and booked four times as often as untagged lists. The list was the bigger lever: cutting reply time from 19 minutes to 2 did not lift meetings.
What does the first message say?
One observation, one reason, one easy question. The observation is about the person or the company, not about you. The reason is a sentence on why you are writing. The question is one they can answer in a line.
| Part | Weak | Better |
|---|---|---|
| Observation | "I came across your profile" | "You moved from field sales to running the inside team this spring" |
| Reason | "We help companies grow revenue" | "We work with inside teams that took on more territory without more reps" |
| Question | "Do you have 15 minutes this week?" | "Is coverage the harder part right now, or ramping the new reps?" |
Keep it to three or four short sentences. No link, no calendar, no deck in the first message. If you want more angles, observation openers beat questions shows what worked on our own account.
How should the follow ups work?
Most replies do not come from the first message. In our own outbound, follow ups added 45% more replies. The follow ups that work bring something new each time:
- Day 0: connection request, usually without a note.
- On acceptance: the first message with one question.
- About 5 days later: a new angle, such as a different pain or a short, relevant example.
- About 10 days later: a soft close with an easy way to say not now.
Sellinger's default on LinkedIn is 4 follow ups before a lead is treated as exhausted, with gaps that start at 5 days, and every value can be changed per campaign. After that, move the lead to email or let it rest. In the wealth advisor referral network study, follow ups added 49% more replies, but from the fourth message on, 16% of replies were negative.
How fast should replies be answered?
Within the hour during working time, and the same day at worst. A reply on LinkedIn is a person who is in the app right now. The faster you answer, the more likely the conversation keeps going.
Speed alone does not book meetings, though. What matters is the second message: it should answer what they said, ask one qualifying question and, only after a yes, suggest a time. Our post on what a good AI reply looks like has examples.
How do you stay within LinkedIn's limits?
Steady and modest beats bursts. Sellinger's defaults are 20 invitations a day per account, varied by a few each day, 150 a week, and a quiet window from 01:00 to 08:00 account time. You connect your own account through a hosted login and Sellinger does not store your LinkedIn password. No tool can guarantee that LinkedIn will never restrict an account, so treat any tool that promises unlimited volume as a warning sign.
Two habits help more than any setting: withdraw old pending invitations, and keep your acceptance rate healthy by writing to people who have a reason to accept. Across 42 customer teams in the 90 days to 19 September 2026, about 4 in 10 invitations were accepted (39%).
What should an SDR measure?
| Metric | Why it matters | Trap |
|---|---|---|
| Acceptance rate | Tells you whether the list and the profile fit | High acceptance from the wrong people |
| Reply rate | Tells you whether the first message lands | Counting "thanks for connecting" as a reply |
| Meetings booked per person messaged | The number your manager cares about | Booked is not held |
| Meetings held | The real hand off to the closer | No shows hidden in the booked count |
Report replies and meetings with their bases: how many people were messaged, how many replied, how many booked and how many showed. Count meetings honestly explains why.
Where does an AI agent fit in an SDR's day?
The repetitive part: building the list from your filters and signals, writing a first draft for each person, sending follow ups on schedule, sorting replies and booking times once someone says yes. The judgment stays with you: which accounts matter, what to say to a hesitant buyer, when a lead is ready for the account executive.
In Sellinger, a campaign can run in approval mode, where every message waits for a person to approve it, or send automatically. You can take over any conversation, and the agent stops on its own when it cannot answer, for example a price it was not given. Start in approval mode and read the first fifty messages before you let it send on its own.
A daily routine
- First hour: answer every reply from overnight, book the yeses, hand qualified leads to the account executive.
- Second hour: review the approval queue, fix the drafts that sound generic, approve the rest.
- Midday: add new people from signals and named accounts, not from broad title searches.
- Afternoon: follow up on threads that went quiet after a reply, which are the warmest leads you have.
- End of day: note which opener and which angle got replies, and change one thing tomorrow.
A checklist
- [ ] My list starts from named accounts and signals, not broad titles.
- [ ] First messages have one observation, one reason and one question.
- [ ] Follow ups bring a new angle and stop after the fourth.
- [ ] Replies are answered within the hour during working time.
- [ ] I report meetings held with their base, not invitations sent.
- [ ] I read LinkedIn's current rules and know my account's limits.
Common questions
How many LinkedIn invitations should an SDR send a day?
Should an SDR add a note to the connection request?
What should an SDR measure on LinkedIn?
Will an AI SDR replace the SDR role?
How Sellinger helps
Read how it works on See how the agent books sales meetings, or see a real campaign in Sellinger's own outbound case study.
