Service

    B2B lead generation, with lists that survive contact with a phone

    Most lead generation delivers a spreadsheet pulled from a platform and calls it a list. Ours is validated by people who then have to call it, which changes what ends up in the file.

    ACV of $5,000 plus is ideal.

    Standards

    What is actually in the list

    Lead generation is the least standardised term in Australian B2B. Depending on the provider, it means a CSV of company names, a set of form fills, or a fully qualified meeting. Here is precisely what we deliver, so there is no gap between what you bought and what arrives.

    Every record includes

    • Named individual, not a role inbox or a generic info@ address
    • Verified job title with the date it was last confirmed
    • Direct dial or mobile where available, switchboard where it is not, labelled either way
    • Company revenue band, headcount and location
    • The reason this account is in the list, tied to your ICP criteria

    What we will not put in a list

    • Contacts scraped without verification
    • Role inboxes padding the record count
    • Companies outside the ICP added to hit a volume target
    • Contacts we know have already been worked and burned
    You are paying per usable record, not per row. A list of 400 verified contacts is worth more than 2,000 unverified ones, and cheaper to work.

    Sources

    Where the data comes from

    We enrich across multiple commercial data providers rather than committing to one, because coverage of the Australian market varies sharply between them. Platform coverage is strongest on large enterprise and weakest on mid-market Australian businesses, which is usually where the ICP sits. That gap gets closed manually.

    Where a number cannot be verified, it is labelled unverified rather than quietly included. You will always know which part of the file is solid.

    Lead generation is not appointment setting

    These get used interchangeably and they are not the same purchase. Lead generation gives you names to work. Appointment setting gives you meetings in the calendar. If you have no one to make the calls, the list will sit there.

    B2B appointment settingLead generation vs appointment setting, in detail

    Results

    What this delivers

    A working prospect file your callers can dial the same day
    Named decision makers matched to your ICP, not company records
    Direct mobiles where they exist, labelled where they do not
    Market feedback on which slices of the list respond and which do not
    A list that gets smaller and better each cycle rather than larger and staler

    Our approach

    What we run end to end

    Every engagement follows a structured operating model across targeting, execution, qualification, and reporting.

    Inclusions

    1Targeting and setup

    • ICP definition workshop and slice testing
    • Account selection against revenue, headcount and location criteria

    2Execution

    • Contact discovery at the buying committee level
    • Multi source enrichment and manual verification

    3Qualification and handoff

    • Direct dial and mobile sourcing for the Australian market
    • Suppression and exclusion management

    4Optimisation and reporting

    • Refresh cycles driven by live call outcomes

    File and assets

    • Verified contact file with confirmation dates
    • Documented exclusion list with reasons
    • ICP criteria mapped against each record
    • Coverage report by segment and region
    • Refresh log showing what changed and why

    Build

    How lists are built

    1
    Define the slice, not the segment"Australian companies, 50 to 200 staff" is not an ICP. We narrow to a defensible slice, then test whether it holds up before scaling the pull.
    2
    Layer sources, then verify by handPlatform data alone carries stale titles and dead numbers. We enrich across multiple sources and verify manually before anything gets dialled.
    3
    Let the calls correct the listEvery cycle of real conversations feeds the next pull. Wrong titles, wrong companies and dead segments get stripped out. A static list decays. A called list improves.

    Deliverables

    What you get

    Direct mobiles where they exist

    • Australian mobile direct numbers are more available than most teams assume, and answer rates on mobile are materially higher than on switchboard lines.

    Verified titles, dated

    Every contact carries the date its title was last confirmed. You can see how fresh the file is rather than taking it on trust.

    A documented exclusion list

    Who we removed and why. Usually more informative than the list itself.

    Fit check

    Is this for you?

    Best for

    • You have callers or closers ready to work a file the week it lands
    • You sell to named decision makers rather than to companies
    • You would rather pay for 400 usable records than 2,000 rows

    Not for

    • You want raw platform data exported and handed over unverified
    • You have no one available to work the list once it arrives
    • Your ACV is too low for outbound economics to work

    Why it works

    Why verified lists outperform

    A verified list outperforms a purchased one because the cost of outbound sits in the time spent working it, not in the price paid for it. A caller dialling a file where one number in three is dead or wrong loses most of the day to dialling rather than talking, and the damage is not only the wasted time. Contact rates fall, morale falls with them, and the campaign gets judged on data quality that was never the caller's fault. Verification changes the shape of the day. When a title has been confirmed recently and the number reaches a person, conversations happen early enough in the session to build momentum, and the feedback coming back is about the offer rather than about the file. That feedback is what makes the next pull better. Australian B2B data decays faster than most teams plan for, because role changes are frequent in mid market businesses and switchboard routing hides direct lines. A list that is corrected by the calls made against it gets tighter every cycle, while a list bought once and worked repeatedly gets worse every week it sits.

    This week's list build

    1,840

    Records pulled

    612

    Passed verification

    71%

    With a direct mobile

    228

    Excluded and logged

    Multi source enrichment
    Phone validated
    Exclusions documented
    Dated confirmations

    FAQ

    Questions & answers

    Common questions about how our B2B lists are built and verified.

    Still have questions?

    Relevant case study

    Logistics and 3PL provider

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