Give LinkedIn a defined role in your sales work
A LinkedIn sales strategy for B2B should explain which accounts you want to understand, what useful information you will share and when a direct conversation is appropriate. A connection or reaction is not proof that someone needs your offer.
Choose a purpose before setting activity targets. You might use the platform to research an account, answer recurring buyer questions or contact someone about a specific requirement. Each purpose needs a different way to assess whether the work helped.
Make your profile easy to understand
Explain your role, the work your company does and who it serves. Someone checking your profile after a message should be able to connect it with the offer you described.
Use accurate examples and credentials. Do not imply that a former employer’s result belongs to your current company, or name a customer without permission. Link to a relevant page that explains the work in more detail.
Review the profile when your responsibilities or offer change. An outdated description can create confusion even when the message itself is accurate.
Research accounts without inventing their priorities
Start with a reason the organisation may fit your offer. Identify the relevant work, potential requirements and limits that could rule it out. Record the difference between something the account has stated and something you want to investigate.
A public hiring announcement may suggest a change worth understanding. It does not prove a budget, a software project or a problem with the current supplier. Use it to frame a question rather than a claim about the company’s needs.
Check the person’s responsibilities before contacting them. A title can help you find a likely contact, but it may not describe who owns a particular decision.
Publish content that answers a real question
Choose questions that recur in customer conversations. Explain a decision, show a useful example or describe a limitation buyers often overlook. Keep the post’s claim narrow enough to support with evidence.
For a fictional example, a team offering implementation support might explain which responsibilities need agreement before setup starts. The post could include a short checklist and link to a fuller explanation. It should not promise that using the checklist guarantees a successful implementation.
Use verified customer stories only within the permissions granted. When using a made-up scenario to teach a point, label it as an example rather than presenting it as client experience.
Join conversations with something relevant to add
Read a post before responding. Answer the question asked, contribute a specific observation or ask for clarification. Repeating the post’s main point with praise gives the author little to work with.
A public exchange does not automatically invite a product pitch. If a private conversation would help, explain why and let the person choose whether to continue.
Employees sharing company content should be able to describe their own connection to it accurately. Avoid scripts that make everyone appear to have the same personal experience.
Use direct messages for a clear reason
Explain why you are contacting the person, what you can offer and what response would be useful. Do not imply a referral merely because you share a connection.
The LinkedIn cold-message guide provides adaptable examples for first contact and follow-up. Replace its placeholders with verified details and deliver any resource you promise.
If someone replies with a question, answer it before asking for a meeting. Respect a refusal, and record a request to stop so colleagues do not repeat the same approach.
Keep the account history usable
Record relevant conversations, open questions and agreed actions in the team’s shared process. Avoid copying unrelated personal details into account notes. The record should help a colleague continue the business conversation appropriately.
A consistent CRM process can support that handover. Check what any integration actually records instead of assuming the account history is complete.
Use AI drafts only with review. Check the source of every personalised detail and remove any inference presented as fact. A generated message should not claim familiarity or experience the sender does not have.
Review conversations and outcomes
Separate connection acceptance, replies, relevant discussions and agreed meetings in your reporting. Define what counts as a suitable opportunity before adding it to the pipeline.
Review a sample of conversations alongside the totals. Check whether people understood the offer, whether questions received answers and whether follow-up matched what was agreed. Change the audience, content or process according to those findings rather than assuming more activity will solve the problem.
