private betaOnboarding 10 design-partner RevOps teams. Take a spot
the post-outreach feedback loop

Know why every deal really closed.

Reps log "lost on price" when the call says "security." Loopback reads every call, labels why deals actually win or lose, re-scores your ICP, and rewrites your next sequence.

Reads Salesforce, your sequencer, and Gong. You approve every change.

You run the outbound and take the calls. Then the reason deals close gets thrown out with the recording.

Why one deal won, why another stalled, which objection keeps killing pipeline: it sits in a call recording nobody re-watches and a CRM field nobody fills in. So next quarter you re-target on gut and rewrite sequences from memory. The outbound works fine. The part that turns results into better targeting is still done by hand, if it gets done at all.

how it works

One loop, run on every conversation you have.

It runs on every closed deal and turns it into sharper targeting and a better next sequence, without you opening a dashboard.

01

Read

Connects to Salesforce, your sequencer, and Gong, then pulls in every reply, call, and closed deal.

02

Label

Turns each conversation into a clean win, loss, or reply label with the reason attached, so your scoring model can finally read it.

03

Re-score

Updates your ICP from what actually converted in your own closed-won and closed-lost deals, not an industry benchmark.

04

Rewrite

Drafts the next sequence from the objections and language that moved real deals. You approve before anything ships.

the labels

Every deal gets a clean win/loss label.

Any scoring model needs labeled outcomes to work, and almost no team keeps them current, so the ICP quietly drifts. Loopback generates the labels from calls and emails you already have.

  • A win, loss, or reply label on each deal, with the reason it happened.
  • Reads the actual transcript, so it catches "price was fine, security wasn't."
  • Writes the labels back to the CRM field your model reads.
example · labeled this week · 412 conversations
Northwind Techclosed-won · $48k
WIN · champion-led
Arc Logisticsclosed-lost · stalled
LOSS · no security sign-off
Bluefin SaaSreply · positive
REPLY · asked for pricing
Vector Healthclosed-lost · budget
LOSS · no budget this half
Pier 9 Roboticsclosed-won · $61k
WIN · displaced incumbent
the ICP

Your ICP, re-scored on every close.

When "has a security team" starts predicting wins and "under 50 employees" starts predicting losses, your targeting should change that week. Loopback re-weights fit from your own outcomes instead of waiting for the next QBR.

  • Built from your own closed-won and closed-lost deals.
  • Surfaces the attribute that started predicting wins this month.
  • Pushes the updated score back to the accounts your reps work.
example · ICP signals · re-weighted on close
Has security/compliance teamnow predicts wins
+12
Champion is a VP+strengthening
+7
Series B or latersteady
+3
Under 50 employeesnow predicts losses
−9
No exec sponsorweakening
−6
the sequence

The next sequence, drafted from real objections.

Loopback drafts the next version from the objections that came up on calls and the lines that worked. Nothing sends until you approve it.

  • Rewrites from the objections on your calls, not a generic prompt.
  • Shows you the before and after, with the reason for the change.
  • You review and approve before any email goes out.
example · sequence · step 2 · proposed edit

WAS

"Our pricing is flexible and we'd love to find a plan that works for your budget."

PROPOSED · 7 of your last 9 losses cited security, not price

"Most teams clear our security review in about a week. I can send the SOC2 pack and a sample DPA so procurement has it before you even decide."

ApproveEdit
100%
of call transcripts read and labeled, not a sample
< 2s
to label a reply, so the loop keeps up with your reps
every close
re-scores your ICP, instead of once a quarter by hand

mechanism numbers, measured in our beta. no customer-results claims until our design partners report them.

vs. doing it by hand

The win/loss review you already run, on every deal.

Same work you do in a spreadsheet before the board meeting, run automatically on every deal as it closes.

The work
By hand, quarterly
With Loopback
Tagging win/loss reasons
Reps backfill from memory, if at all
Labeled from the transcript, every deal
Updating the ICP
A QBR slide, then forgotten
Re-scored on every close
Rewriting sequences
Gut feel and last week's wins
Drafted from real objections, you approve
Catching a shifting objection
Noticed a quarter too late
Flagged the week it starts costing deals
how it compares

Where the other tools stop.

Each one does a slice of the loop, and none of them turn a call's outcome back into sharper targeting and a rewritten sequence by themselves.

Capability Loopback Gong Clay UserGems Klue
Auto-labels win/loss/reply from calls~~
Re-scores your ICP from real outcomes~~
Rewrites the next sequence from objections~
Reads full call transcripts~
Closes the loop automatically, not by hand~
Flags an objection trending against you~~

✓ does it · ~ partly · – doesn't · based on each vendor's public product, mid-2026

you approve everything

Loopback proposes changes and you approve them before anything reaches a prospect. It never emails your pipeline on its own.

your data stays yours

Reads from your CRM and call tools and writes back to them. Your conversations never train a model anyone else uses. SOC 2 Type II in progress.

what it actually does

It closes the loop on targeting and messaging, the two places your current tools leave open, and runs the review you keep meaning to do.

Close the loop on your outbound.

The private beta is onboarding ten RevOps teams as design partners. Tell us where your loop breaks and we will reach out.

faq

What a RevOps lead asks first.

Is this a conversation-intelligence tool like Gong?

No. Gong records and surfaces the call for a human to act on. Loopback takes the outcome of that call and feeds it back into your ICP and your next sequence. It reads from Gong, then closes the loop Gong leaves open.

Do I need clean CRM data first?

That is the point. The reason most scoring models never work is that nobody maintains labeled outcomes. Loopback generates those labels from transcripts, so it improves your data rather than depending on it being perfect already.

Will it send emails on its own?

Only with your approval. Loopback drafts the rewritten sequence and shows you the before and after with the reason. A human approves before anything reaches a prospect.

What does it connect to?

Salesforce or HubSpot for CRM, Outreach or Salesloft for sequences, and Gong or Chorus for call transcripts. If your stack is close to that, you are a fit for the beta.