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Lead follow-up

Lead Follow-Up

Lead follow-up is timely, relevant, consistent contact that is connected to what the person actually did or asked for, with a clear next step.

Quick answer

Not every lead signal deserves the same response. A direct request for a CMA, a showing, or a callback means someone is waiting on you. An email click is light engagement. Good follow-up treats requests as time-sensitive, confirms whether anyone already responded, avoids duplicate outreach across the team, and uses context so the first message fits the person.

Why it matters

Follow-up breaks down in two opposite ways: real requests get lost between channels, and passive signals get chased so hard that people tune out. Both cost business.

On a team, the risk multiplies. Two agents can call the same person, or each can assume the other already did.

Three kinds of follow-up gaps

GapWhat it meansWhat resolves it
Response gapSomeone asked for something and there is no human response after itA real response, such as a connected call
Conversion gapClear seller intent with no active seller pathAn active seller stage or linked listing
Open taskThe business recognized the workNot a response by itself; the person still needs to hear from someone

How it works in practice

  1. 1

    Classify the signal

    Separate direct requests from strong interest and from passive engagement. Only the first group should interrupt your day by default.

  2. 2

    Check what already happened

    Before acting, confirm whether a teammate responded, whether a task already covers it, and whether any channel is restricted.

  3. 3

    Respond with context and a next step

    Use the relationship and the request to choose the channel and message. Drafts can be prepared by AI, and you confirm before anything is sent.

Common mistakes

  • Treating an open task as proof that the person heard back.
  • Clearing a response gap by editing a last-contact field instead of actually responding.
  • Reacting to every click as if it were a request.
  • Letting two teammates follow up on the same request because ownership is unclear.
  • Sending a generic first message that ignores what the person asked for.

How SAM approaches it

  • SAM distinguishes direct requests from engagement across Homebot, Fello, and its own records. A request with no human response afterward can surface in Daily Priority, and a later connected call or other real contact clears it.
  • SAM treats tasks as operational handling and keeps them separate from response evidence. Call Lists add prep briefs before you dial, Routines can add people automatically, and SAM Chat prepares messages that wait for your confirmation.

Explore:Lead follow-up solutionCall ListsInbox

Frequently asked questions

Good lead follow-up is timely, relevant, consistent, and connected to what the person actually did or asked for. It creates a clear next step without treating every lead the same. The system should help the agent remember the context and keep a request from disappearing between email, text, and a third-party app.

Related:Stronger lead follow-up

Treat a direct request as time-sensitive, because the person is actively asking for help. The exact service standard belongs to your business. Software should make the request visible quickly, avoid duplicate follow-up across the team, and show whether someone has already responded so the person is not left waiting or contacted twice.

Related:Stronger lead follow-up

A lead who requested a showing is different from someone who opened an email, and a past client exploring home value is different from a brand-new internet lead. Context helps the agent choose the right conversation, channel, urgency, and next step, and it keeps the first message from sounding like it was sent to everyone.

Related:Stronger lead follow-up

A response gap exists when there is credible evidence that someone asked for something and the system cannot find a genuine human response after that request. It is a useful exception to surface. In SAM, a response gap is resolved by actual response evidence, such as a connected call after the request, not by someone editing a last-contact field or creating a task.

A conversion gap is evidence of meaningful intent without the expected active business path. For example, a homeowner asks for a CMA or a cash offer, but there is no active seller stage or linked listing in SAM. It tells the business to review the situation. It does not prove that a conversion was lost, and an active listing removes the gap.

No. An open task shows that the business recognized the work, but it does not prove the person heard from a human. SAM's intelligence treats a task as operational handling and keeps it separate from response evidence, so the system does not confuse an intention to call with an actual conversation.

First confirm the request is real and when it happened. Then check whether a genuine human response happened afterward, whether an open task already represents the work, and whether any channel is restricted. Only then should the gap surface, with the evidence visible. SAM follows this order, and a later connected call or other real contact clears the request instead of a changed last-contact field.

An explicit request deserves more attention than passive browsing. Examples include asking for a CMA, a cash offer, a callback, a showing, prequalification, mortgage guidance, or sending a direct message. Those are people waiting on you. Even then, handling should respect ownership, permissions, calling restrictions, and whether someone on the team already responded.

Related:Homebot integrationHomeowner Intent and Behavioral Signals

Automation can create reminders, route work, prepare messages, schedule date-based activities, and keep repeatable steps consistent. It works best when the business has already decided the rule. Situations that call for judgment should keep human review instead of turning every signal into an automatic message.

Related:Routines

The reply should show up in the same relationship context the team uses for follow-up, with ownership and next steps clear. Any queued recommendation or pending next step should be looked at again if the reply changes the situation. In SAM, replies land in Inbox threads linked to the contact.

Related:Inbox & Outbox

A call list turns prospecting from a vague intention into a queue of people with a reason to call. The most useful call lists include context, so the agent starts the conversation informed instead of spending the first minute reconstructing history. In SAM, prep briefs summarize recent activity before you dial, and Routines can add people to a call list automatically.

Related:Call listsCall list basics

Nurturing keeps useful, appropriate contact over time based on the person's relationship and stage. Chasing reacts to every small signal as if it were urgent. Good systems help you tell passive engagement, meaningful intent, direct requests, and real response obligations apart, so you show up when it matters and do not wear people out when it does not.

Related:Stronger lead follow-up

Yes. AI can draft relevant messages from the context it is allowed to see. The message should still respect the relationship, channel permissions, provider suppressions, and your business rules. A draft is not a sent message. In SAM Chat, prepared texts and emails wait for your confirmation before they go to a client.

Related:AI AssistantInbox AI Draft for SMS

Use one contact record, clear ownership, shared communication history, visible open tasks, and integrations that recognize repeated provider events. Before adding another task or message, the system should check whether the same request is already being handled. SAM's Fello integration, for example, does not add a second note when the same Felix handoff arrives twice.

Related:Teams

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See it in your own business

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