Price
£29 / £49 GBPOne exact-batch handoff bundle. £29 up to 1,000 rows, £49 up to 5,000 rows.
Pre-Handoff Lead CSV QA
One risky batch in. One defensible handoff out.
ListSift gives lead gen agencies, recruiters, and small SDR teams a visible QA pass before a CSV reaches client delivery, SDR upload, campaign launch, or import. Preview one batch for free, then pay once to unlock the exact-batch handoff bundle for that same batch, up to 5,000 rows. Version 1 includes the client-ready handoff CSV, browser-openable handoff report, strict HubSpot-ready and Apollo-ready import packs, separate rejects files, and row-level reasons the next person can actually understand.
Checkout
Hosted by StripeCard entry stays inside Stripe Checkout, not this app.
Delivery
Instant downloadThe export is released only after the paid session is verified server-side.
One-off payment Exact batch only No subscription Hosted Stripe checkout No account required
What the free preview proves
- Free preview of invalid, risky, weak-domain, and duplicate damage for the exact batch
- Visible issue counts before any payment step
- Enough visible damage to decide whether the batch is safe enough to send, upload, or hand off
What the paid handoff adds
- One exact-batch handoff bundle up to 5,000 rows
- Client-ready handoff CSV plus browser-openable handoff report
- Strict HubSpot-ready and Apollo-ready subsets plus separate rejects files for direct-import decisions
- Normalized fields plus issue codes
- Batch grade plus next-step, priority, handoff note, and plain-English reason for each row
- Review-ready notes the next operator, SDR, or client can follow quickly
Use It Right Before
ListSift is strongest in the tense moment before someone else inherits the batch.
Client handoff
Before you deliver a CSV to a buyer or agency client
You want the file to feel reviewed, explainable, and less embarrassing to defend later.
SDR upload
Before callers or reps start working from it
You want obvious bad rows spotted before the team wastes touches on junk or duplicates.
CRM import
Before the mess spreads into a larger system
You want one visible QA pass before import rules, duplicate headaches, and cleanup politics get worse.
Best Fit
Built for teams that need one batch reviewed this week, not another platform to maintain.
Best for
Lead gen agencies, recruiters, and SDR teams that already have a CSV and need to spot visible quality problems before handoff, upload, or outreach.
Not for
Huge managed data operations, deep enrichment pipelines, or teams expecting a multi-user SaaS platform in version 1.
Good fit
- You already have the CSV.
- You need a go / no-go judgment fast.
- You care about how the file will look to the next person.
- You prefer one-off cleanup over another subscription.
Poor fit
- You want continuous verification at scale.
- You need enrichment, prospecting, or CRM sync first.
- You only want a tiny duplicate remover.
- You expect a broad multi-user data workspace.
Agency Pain
A few bad rows can make the whole batch feel careless before outreach even starts.
What goes wrong
Invalid emails waste volume, duplicates create confusion, and weak domains make the finished list harder to trust before a rep, client, or CRM import touches it.
What this fixes
The operator gets a visible QA pass first, then a more defensible CSV they can review, explain, and hand off without doing the first sweep by hand.
Before / After Proof
Show the difference before anyone has to trust the file.
The point is not just to clean a CSV. The point is to turn one messy batch into two clearer outputs: a broader handoff file for review and a stricter subset for direct import.
8 rows uploaded 6 rows flagged 2 keep / 4 review / 2 remove 2 direct-import ready
Before
Raw CSV someone is about to send, upload, or import
Email Domain Problem
sales@latticeworks.co.uk https://www.latticeworks.co.uk Duplicate
owen@@latticeworks.co.uk - Invalid
sales@latticeworks.co.uk http://latticeworks.co.uk/team Duplicate
leo@mailinator.com - Risky inbox
How it feels
The batch needs manual judgment before anyone trusts the rows or pushes them into a system.
What ListSift shows first
Visible damage before payment
Total rows8
Invalid2
Risky4
Duplicates2
Batch gradeDo not send yet
Keep2
Review4
Remove2
No payment before the batch looks visibly weak enough to justify cleanup.
After
One review-ready handoff plus one stricter import-ready subset
Client-ready handoff CSV
Email Action Reason
amira.bennett@northforge.io Keep No issues found
sales@latticeworks.co.uk Review risky shared or disposable email; duplicate email
owen@@latticeworks.co.uk Remove invalid email; missing domain
Strict import pack
Direct-import rows2
Reject rows6
File Example row Why
Ready amira.bennett@northforge.io Safe enough for direct import
Rejects sales@latticeworks.co.uk Review this row as the first copy of a duplicated email address.
- The handoff file keeps review rows visible instead of hiding them.
- The import pack is stricter and excludes rows that still need judgment.
- The rejects file shows exactly what blocked direct import.
What changes
The next person inherits a defensible handoff file, and the operator gets a smaller direct-import subset only where the rules are strict enough.
Three rows, three clearer outcomes
What changes row by row
A good row is kept, a risky row stays visible for review, and a broken row is blocked before it can spread into an import.
Raw row Amira.Bennett@Northforge.io
Northforge
Review Handoff decision amira.bennett@northforge.io
Keep this row because the email and domain look usable and unique.
Keep Import outcome Ready
Included in the strict direct-import subset.
Ready Raw row sales@latticeworks.co.uk
Lattice Works
Duplicate Handoff decision sales@latticeworks.co.uk
Review this row as the first copy of a duplicated email address.
Review Import outcome Rejects
Moved into the rejects file until someone reviews it.
Rejects Raw row owen@@latticeworks.co.uk
Lattice Works
Invalid Handoff decision owen@@latticeworks.co.uk
Remove this row because the email address is malformed or missing.
Remove Import outcome Blocked
Held out of import files until the row is replaced.
BlockedCategory Fit
This is not another verifier dashboard, enrichment stack, or bigger sales-data platform.
What generic tools usually optimize for
Bulk validation, APIs, enrichment, deliverability infrastructure, or broad workspace workflows across many lists and users.
What ListSift optimizes for
One visible QA pass before the batch reaches a client, SDR, or import step, with a review-ready CSV and handoff report for that exact file.
Buyer Outcome
The real product is a safer handoff, not another data tool.
Before ListSift
The operator spots obvious problems manually, misses some anyway, and still has to explain later why a row was removed, kept, or merged.
After ListSift
The export already carries row-by-row reasoning, suggested fixes, and duplicate grouping so the batch is easier to review, defend, upload, and deliver to the next person.
Why Not Something Bigger?
The point is not to replace Apollo, HubSpot, or a verifier. It is to reduce risk before the batch reaches them.
What bigger tools are good at
Ongoing enrichment, deliverability, CRM sync, governance, and broad data workflows across many lists and users.
What ListSift is good at
One visible QA pass on one risky batch right before handoff, upload, or campaign launch, with a clearer explanation layer than a raw spreadsheet.
Buyer Confidence
Clear scope, clear payment path, clear support route.
What happens after payment
You return to the success page, the checkout session is verified, and the exact-batch handoff bundle is released immediately: the client-ready CSV, handoff report, strict HubSpot and Apollo import packs, and the related rejects files.
If something goes wrong
Version 1 support is manual and email-only. Use the support route with your checkout email or Stripe session details so the paid batch can be checked quickly.
Low-Risk Purchase Rules
The buying promise is intentionally narrow and easy to verify.
Before payment
You preview the exact batch first, see visible issue counts and flagged rows, and only pay if the handoff looks worth unlocking.
If release fails
The first step is a manual fix or rerun for that exact paid batch. If verified paid files still cannot be released after that check, the batch charge should be refunded.
Paid Output Sample
What the paid handoff CSV adds.
This example export comes from the same anonymized proof batch shown elsewhere on the page. The paid file turns visible damage into a more defensible handoff CSV with a batch grade, normalized next steps, priority, domain-source context, duplicate sizing, plain-English reasons, and operator notes.
27 columns One CSV No account
| email_normalized | next_step | action | priority | domain_source | duplicate_size | handoff_note |
|---|---|---|---|---|---|---|
| amira.bennett@northforge.io | verify_domain | keep | low | email_derived | 1 | Domain was derived from the email; verify company match before client handoff. |
| sales@latticeworks.co.uk | dedupe | review | medium | supplied | 2 | Review duplicate group of 2 rows before sending or importing. |
| owen@@latticeworks.co.uk | remove | remove | high | missing | 1 | Remove before handoff: invalid email; missing domain. |
amira.bennett@northforge.io100
Next step: verify_domain
Action: keep
Priority: low
Why: No issues found.
Note: Domain was derived from the email; verify company match before client handoff.
sales@latticeworks.co.uk65
Next step: dedupe
Action: review
Priority: medium
Why: risky shared or disposable email; duplicate email.
Note: Review duplicate group of 2 rows before sending or importing.
owen@@latticeworks.co.uk10
Next step: remove
Action: remove
Priority: high
Why: invalid email; missing domain.
Note: Remove before handoff: invalid email; missing domain.
Buyer-friendly reasons make the cleanup defensible without explaining raw issue codes.
Next-step values, priority, and handoff notes tell the operator what to act on first.
Stable row hashes, domain-source context, and duplicate group sizes make decisions easier to track.
Handoff Summary
What the buyer can understand in under a minute.
This summary uses the same anonymized proof batch as the preview and export samples. The paid CSV is the operational file; the summary is the fast explanation layer around what was checked and what changed.
Batch scope Priority counts First actions
Example batch summary
- Rows reviewed: 8
- Batch grade: Do not send yet
- Rows flagged: 6
- Rows needing review: 4
- Recommended removals: 2
Priority split
- High priority: 2
- Medium priority: 4
- Low priority: 2
- Rows ready to keep: 2
First actions
- Row 3: remove - Remove before handoff: invalid email; missing domain.
- Row 6: remove - Remove before handoff: invalid email.
- Row 2: review - Review duplicate group of 2 rows before sending or importing.
Simple Buyer Flow
From messy CSV to review-ready handoff in three steps.
01 Load a sample
Paste a lead CSV or upload one directly into the tool.
02 Preview the damage
Surface invalid emails, risky inboxes, weak domains, and duplicates immediately.
03 Unlock the handoff
Pay once through Stripe and download the client-ready CSV after verification.
Common Objections
The main question is not whether cleanup is possible. It is whether you want the same manual judgment every time.
Couldn’t we do this in Excel?
Sometimes yes. ListSift only earns its place if the team wants a faster visible QA pass and a more defensible output than ad hoc spreadsheet work.
Couldn’t we do this in ChatGPT?
Sometimes yes. The point here is a repeatable buyer flow around one batch, not an improvised prompt-and-check routine every time a risky CSV appears.
Why not just use Apollo or HubSpot?
If your team already solves this well there, use them. ListSift is for the earlier batch-QA moment before the mess spreads into a broader workflow.
Why one-off payment?
Because many small teams do not need another always-on platform. They need one batch reviewed now, with clear scope and low commitment.
Next Step