NO FILES. NO OBLIGATION.Step 1 of 3 · Your business

What does your company do?

Start with your business. We’ll ask for your email at the end.

YOUR INFORMATION

You choose what you share

Before any data sale

We agree what records may be included and how they may be used. Information you are not entitled to share must stay out. Removing names does not cancel confidentiality agreements or make every record safe to sell.

When you ask for an assessment

NextLevel Data Broker uses your company name, email and the business details you enter to review your enquiry and contact you about an assessment. Requests are stored securely on our server. They are not published on the website, and submitting does not sign you up for marketing.

Do not enter customer identities, bank details, passwords or confidential business information. This form does not ask you to upload files.

Website tools

This website uses no advertising trackers or marketing cookies. Fonts are served from our own server. The animation can be paused and respects your reduced-motion setting.

When the team contacts you, you can ask about your enquiry, corrections or deletion by replying to them. Continuing use of records already sold is governed by the separate data agreement. Full website privacy notice

Customer service teams & contact centres

Your team solves problems every day

Every email, chat and call shows how your agents work out what is wrong and put it right. AI companies want to learn from the answers that actually worked.

See what you can share

No files to upload. No commitment to sell.

First sale of your records $50k–$500k
Then, from new records each year $25k–$250k and growing
Preliminary valuation within one week

Typical ranges, not a promise. The real amount depends on your records and the contract.

What you can share

Your support desk is full of useful records

Years of cases and decisions, with customer names and account details taken out.

  • Help desk cases

    Email and chat cases followed from the first message to how they closed: question, checks, reply and outcome

    • Zendesk
    • Freshdesk
    • Intercom
  • Agent notes

    Short notes on what was checked, what was found and what was changed

    • Zendesk
    • Help Scout
    • HubSpot
  • Complaints & escalations

    Cases handed to a team lead, what they did differently and how it ended

    • Freshdesk
    • Jira Service Management
    • Excel
  • Approved call records

    Calls only where callers were told and sharing is allowed

    • Binotel
    • Ringostat
    • Aircall
  • Help articles

    Saved replies and help articles, and how they changed after new problems

    • Confluence
    • Guru
    • Notion
  • Refunds & goodwill

    Refunds, credits and goodwill offers, with the reason recorded

    • Zoho CRM
    • Salesforce
    • Google Sheets
  • Quality & training

    Quality checks, coaching notes and new-agent training

    • Genesys
    • Five9
    • Google Sheets

The full story of a case

The ending is what makes a case useful

A question on its own says little. A case that shows what the agent checked, when it went up to a team lead and how it closed tells the whole story.

  1. Question Email, chat or call arrives
  2. Agent check Account, history and notes
  3. Escalation Passed to a team lead if needed
  4. Resolution Fixed, refunded or explained
  5. Customer kept Confirmed solved and stays
  • Agent notes show the thinking behind the reply the customer saw
  • Escalations show when to hand a problem to someone with more authority
  • Confirmed outcomes show which answers actually worked

What buyers pay for

One complaint, followed across five tools

Buyers want to see how real problems get solved, not single messages.

  1. Message Angry email or chat arrives
  2. Check Agent looks at account and payment history
  3. Note “Duplicate payment found” added to the case
  4. Escalation Passed to a team lead to approve a refund
  5. Outcome Refund paid, customer confirms it is solved

What is worth most

Cases with an ending beat single messages

A guide to what buyers value, not a price list. Customer names and personal details are removed first.

  • Cases followed from first message to a confirmed outcome Highest
  • Complaints escalated, with what the team lead did differently Highest
  • Agent notes across several years of the same kinds of problem High
  • Calls where callers were told and sharing is allowed High
  • Automatic replies, standard answers or totals such as cases per day Low
  • Calls without the right permissions, and very personal conversations Left out

Connected data

A few examples of connected data

Buyers want many kinds of linked records: any case that can be followed across your tools, from the first message to a clear result.

A double charge. A happy customer

  1. Start

    Customer wrote in angry after being charged twice

    • Intercom
    • Gmail
    • Zendesk
  2. Decisions

    Agent checked the account, found the duplicate payment and refunded it

    • Zendesk
    • Salesforce
  3. Result

    Agent explained when the money would arrive; customer confirmed the refund

    • Zendesk
    • Email

An angry customer. A fair outcome

  1. Start

    Customer complained about a late refund for the third time

    • Freshdesk
    • Email
  2. Decisions

    Team lead found a stuck payment and escalated it

    • Freshdesk
    • Jira Service Management
    • Slack
  3. Result

    Refund paid that day. Complaint closed

    • Freshdesk
    • Zoho CRM

A router that would not connect. Fixed on the first call

  1. Start

    Customer could not connect a new router

    • Binotel
    • Help Scout
  2. Decisions

    Agent walked them through a reset step by step

    • Guru
    • Binotel
  3. Result

    Router connected. No engineer visit needed

    • Help Scout
    • Bitrix24
…and many more
  • Question → saved reply → reply improved → fewer repeat questions
  • Complaint → team lead → refund → customer kept
  • New problem → help article → agents trained
  • Quality check → coaching → better calls
  • Cancellation request → offer → stays or leaves, with reason
  • Faulty product reports → pattern spotted → fix passed on

What stays private

Customers, callers and agents stay protected

Call recordings

Only where callers were told and sharing is allowed

Customer details

Names, account numbers and contact details removed

Personal matters

Conversations about health, debts and similar matters left out

Hidden clues

Rare complaints or small towns that could point to one person stay out

Your agents

Names removed; voices treated as carefully as customers’ voices

Your clients

If you answer for other companies, their records stay out unless they agree

Your records. Your choice. An AI check flags risks, people review them, and nothing is shared until you approve it.

How we protect your information

Two ways to earn

Sell your history once, then keep earning

Two separate offers. Choose one, both or neither.

Yearly income grows as you capture more First sale Yearly sales

Illustration, not a forecast. Yearly payments apply only if your contract says so.

Sell existing records
  • Years of cases and complaints you already have
  • One team lead, a few hours here and there
  • A written offer: fixed price, or paid after a later sale
How selling works
Earn from new records each year

We call this Data Farming: keeping better records of work you already do, so there is more to sell each year.

Small process changes, better-set-up tools or a few extra tools that capture more mean even more money every year

  • Small process changes, e.g. pick what the problem really was from a short list and tick whether it was solved
  • Set up the tools you already use to keep more of the story
  • Add tools that capture more, free of charge if part of the agreed plan
  • No keystroke logging, nothing switched on without your approval
How Data Farming works

How it works

From first chat to offer

  1. 1

    Tell us about your support team

    Which help desk, inbox, chat and phone tools you use, and how far back they go

  2. 2

    Preliminary valuation

    An estimate within one week, with nothing shared

  3. 3

    Scope and checks

    Call permission, client and privacy checks, with people reviewing the results

  4. 4

    Offer and your approval

    A written offer. Nothing leaves until you approve it

An honest check

Is this right for your company?

A good fit

  • Several years of email, chat or help desk cases
  • Cases that show how they ended
  • Agent notes, even short ones
  • Complaints handled by team leads
  • Work spread across several tools

Probably not yet

  • Most conversations are about health, debts or other very personal matters
  • Client contracts forbid sharing
  • Cases deleted after a few weeks
Before you decide

Questions support teams ask

We record calls for training. Can we sell them?

Not automatically. Permission to record a call for training is not the same as permission to sell it. We check what your callers were told and what is allowed.

How do you remove personal details?

We prepare the records so they cannot identify a person, and check them before anything is shared. Some records could still point to someone even without names, so they are left out.

We are an outsourced call centre. Whose records are they?

Often they belong to your clients. We help you check your contracts and only include what you are allowed to share.

Our agents’ notes are short and messy. Are they still worth anything?

They can be. Even a few words such as “duplicate payment, refunded” show what was found and done. Several years of notes matter more than perfect writing.

Do our agents need to change how they work?

Not to sell what you already have. If you also want yearly income, we may suggest small, agreed changes, such as picking what the problem really was from a short list when a case is closed.

LET’S FIND OUT WHAT YOU HAVE

Find out what your support records could be worth

Preliminary valuation within one week.

No files to upload. No commitment to sell.