Scaler Technologies_
    [01]_LEAD QUALIFICATION

    Lead Qualification Automation for the Exclusive-vs-Aged MCA Lead Gap.

    Exclusive MCA leads run $50-120 a lead and convert to a funded deal around 12-18% of the time. Aged and shared leads run $0.05-5 a lead and convert at 1-5%. Most shops treat that gap as a fact of life — pay premium for quality, or buy cheap and accept the churn. We build the automated qualification layer that scores every lead on the same fundability signals (time in business, revenue band, industry, prior MCA history, credit tier) the moment it lands, so your reps spend live-call time on the leads worth it, whichever bucket they came from.

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    Reported MCA lead-market pricing puts exclusive leads at roughly $50-120 with a 12-18% funded-deal conversion rate, against aged/shared leads at roughly $0.05-5 with a 1-5% conversion rate — a real cost/quality spread most shops have no automated way to bridge.

    MCA lead-market pricing and conversion ranges, as reported across MCA lead-broker marketplaces — not a Scaler client result.

    [02]_The cost of doing nothing

    You're paying for the cost gap without closing the quality gap.

    • 01At $50-120 per exclusive lead, a rep burning ten minutes qualifying an unfundable submission (wrong industry, six weeks in business, three open positions already) is burning real acquisition spend with nothing to show for it.
    • 02At $0.05-5 per aged/shared lead, the temptation is to dial the whole list with no pre-filter — which buries your reps in low-probability calls and trains them to under-invest effort on every lead in that bucket, including the small percentage that would fund.
    • 03Without a consistent scoring layer, qualification quality depends entirely on which rep picks up which lead — the same submission gets fast-tracked by one closer and left in a queue by another.
    • 04There's no automated way to tell, at a glance across a mixed pipeline, which of today's 200 leads (exclusive and aged combined) are actually worth a stip request versus a quick disqualify — so triage happens ad hoc, lead by lead.
    • 05Every month spent without a qualification layer is another month where your best reps' time is split evenly between prime submissions and dead-on-arrival ones, instead of weighted toward the leads statistically likely to fund.
    [03]_How it works

    Live in days, not months.

    01

    Define

    We work with you to define the fundability signals that actually matter for your book — time in business, monthly revenue band, industry, prior MCA/stacking history, credit tier — and how they should be weighted.

    02

    Score

    We build the automation that scores every inbound lead against those signals the moment it lands, whether it came in as an exclusive or an aged/shared record.

    03

    Route

    High-fundability leads route straight to your closers with the scoring context attached; marginal leads route to a qualification cadence; clear non-starters get flagged instead of worked cold.

    04

    Refine

    We tune the scoring model against your actual funded-deal outcomes over time, so it gets sharper the more deals run through it — not a static rule set that goes stale.

    [04]_What changes

    Every lead gets sorted by real fundability, not by which price tier it came from.

    • Reps see a fundability score and the reasoning behind it the moment a lead lands — no more guessing which of today's submissions deserve the first callback.
    • Exclusive-lead spend stops leaking to unfundable submissions that a five-second signal check would have flagged.
    • Aged/shared lead lists stop being dismissed wholesale — the fundable minority inside a cheap list gets surfaced instead of buried under volume.
    • A consistent qualification bar across your whole team, so deal quality doesn't depend on which rep happened to answer the phone.
    • A scoring model that improves as your funded-deal data grows, instead of a static checklist someone wrote once and never revisited.
    [05]_FAQ

    Questions, answered.

    Static minimum criteria are a blunt yes/no filter. Our scoring weighs multiple signals together — time in business, revenue, industry, prior MCA exposure, credit tier — to produce a graded fundability score, so a lead that's marginal on one signal but strong on the others still gets surfaced instead of auto-rejected.

    Scoring uses whatever signals your intake already captures (application fields, lead-vendor data, self-reported revenue) plus anything you choose to pull in during qualification, like a soft credit pull or bank connection. We build the model around your actual data sources, not a hypothetical ideal one.

    No — the point is to stop treating an entire aged/shared list as uniformly low-value. The model surfaces the fundable minority inside a cheap list so reps prioritize those first, rather than working the list in raw order or ignoring it altogether.

    Yes. We build the scoring layer to sit on top of your existing lead intake and CRM, scoring leads as they arrive from whatever vendors and channels you already use — no new lead-buying relationship required.

    We tie the model back to your real funded-deal outcomes and keep tuning it against that ground truth, so its accuracy is measured against deals that actually closed — not a one-time assumption baked in at launch.

    We review your current lead mix (exclusive vs. aged/shared), what signals your intake already captures, and where qualification effort is currently being wasted — you leave with a concrete picture of what a scoring layer would catch in your own pipeline.
    [07]_Related pages

    Book a free scoping call.

    Twenty minutes, no pitch deck. We'll map exactly how this would run for your business and what it'd recover. Prefer to read more first? See our AI automation services.

    Free scoping consult

    See what it would recover

    Tell us where to reach you and we'll show you exactly how it'd work — no cost, no pressure.