Are your leads bad?

Let's find the reason why your sequences might be underperforming.

When outbound underperforms, the default reaction is always the same: “these leads are bad.”

Bad data. Bad list. Wrong contacts.

So teams buy another dataset, switch providers, or widen their targeting - and nothing really improves.

The uncomfortable truth is this: most lead generation problems aren’t sourcing problems. they’re data lifecycle problems.

The leads you’re blaming were probably good at some point. They just weren’t good anymore by the time you reached out.

Static lists are the fastest way to kill lead quality

Most teams still treat lead generation as a one-time event.

Build a list. Enrich it. Upload it. Run a campaign. Move on.

But data doesn’t stand still. People change roles. Companies reorganize. Priorities shift. Budgets reset. Intent fades.

A list that was accurate in November can be misleading in January.

Not because the data source failed - but because the system assumed data was permanent. Lead quality decays silently.

New Features Alert 🚨

New in Salesforge 📫

1. Spam Checker in Multichannel Sequence Builder

You can now check your spam score directly in the Multichannel sequence builder on email steps, making it easier to catch deliverability issues before launch.

Spam checking is available only for emails as LinkedIn outreach does not face traditional email deliverability or spam-related risks.

2. Clay x Salesforge Multichannel Integration

We’ve expanded our Clay integration so you can now push data directly into Salesforge Multichannel sequences. This makes it easy to take enriched data from Clay and activate it instantly across email and LinkedIn outreach.

The integration is fully backward compatible, so when fetching sequences from Salesforge you’ll see both legacy sequences and multichannel sequences available, no changes required to existing workflows.

3. Contact Progress Details for Multichannel

We’ve released a major upgrade to how you track individual contact progress in Multichannel sequences and Agent Frank, now fully adapted for multichannel logic.

What’s new:

  • Detailed contact view: Open any contact to see full context, including basic details (email, LinkedIn URL), current status, and step-by-step progress.

  • Dynamic step tracking: Progress now reflects the actual multichannel steps executed (Email, LinkedIn message, InMail, connection request, follow, like, profile view), not a fixed sequence.

  • Branch-aware visibility: Since contacts can follow different paths based on conditions, the modal shows what actually happened for that contact, not just a generic flow.

  • Clear status history: Every status change includes a reason - success, failure, or conditional outcome, so you know exactly why a contact moved forward or stopped.

  • Improved error handling: See failure reasons, tooltips with guidance, and actions like retry or contacting support where applicable.

This update makes it much easier to debug sequences, understand individual outcomes, and manage your sequences!

New in Agent Frank 🤖

1. Multichannel Analytics for Agent Frank

We’ve rolled out Multichannel Analytics for Agent Frank, bringing the same powerful insights you already have for multichannel sequences directly into AF.

Analytics now adapt automatically based on the outreach path you choose during setup:

  • Email only: email performance analytics

  • LinkedIn only: LinkedIn performance analytics

  • Multichannel (Email + LinkedIn): combined email and LinkedIn analytics

On top of the Agent-level analytics revamp, we’ve also introduced aggregated global analytics across all Agent Frank campaigns, just like the top-level analytics in Multichannel Sequences.

2. Outlook Integration for Agent Frank

We’ve added Outlook integration to Agent Frank for the “Send a meeting link” goal.

Outlook is now available alongside Google, HubSpot, and Calendly, giving users more flexibility when scheduling meetings through Agent Frank. You can connect your Outlook account, select it from the dropdown just like the other providers, and disconnect it at any time.

Living data beats “better leads” every time

High-performing teams don’t hunt for perfect leads. They build living data systems.

That means:

  • leads are continuously refreshed, not batch-processed

  • enrichment happens more than once

  • intent and behavior are layered on top of static attributes

  • qualification adapts as the market changes

  • outreach feedback influences future targeting

In this model, lead quality doesn’t depend on a single source. It improves over time.

The question shifts from “where do we get leads?” to “how do we keep them relevant?”

Join Frank and Amir as they discuss using lookalikes to generate more leads:

How to sanity-check your lead data this week

You don’t need new tools to see if your data is hurting you.

Ask yourself a few simple questions:

  • How old is the data you’re actively using?

  • When was the last time job titles were refreshed?

  • Do you know which segments reply - and which never do?

  • Are intent signals being acted on or just stored?

  • Does outreach performance feed back into your targeting logic?

If you can’t answer those clearly, your system is static - and static systems always decay.

What actually improves lead generation in 2026

The teams who win next year won’t generate more leads.

They’ll generate faster feedback loops.

They’ll notice when a segment stops responding.

They’ll adjust targeting instead of rewriting copy.

They’ll refresh data instead of widening ICPs blindly.

They’ll treat enrichment as ongoing maintenance, not setup.

Lead generation stops being a guessing game when data stays alive.

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