Custom lead generation software / Lead Scoring & Prioritisation

Build type

Custom lead scoring software

Rank the list before anyone dials it — on signals from your own closed deals, not a vendor's black box.

From $1,500fixed quote after scoping · source code transferred to you

At handover you get

  • A scoring pipeline applied to new and existing records
  • A written description of every signal and its weight
  • Backtest output against your historical data, where you have it
  • The code, so the model is never held over you

Fixed price agreed in writing before development starts. Hosting and maintenance are optional, and nothing stops working if you decline them — you hold the code.

Scoring only helps if you can see why a record scored what it did. A number with no explanation gets ignored by the first rep who disagrees with it, and after that the whole system is decoration.

We build scoring that shows its work. Each record arrives with a rank and the reasons behind it, drawn from signals we can actually observe in public data and in your own history of what closed.

Where it fits

Most projects are one build type. Some are two joined together — a scraper feeding a database, or enrichment feeding a CRM integration.

What the build covers

Signals from public evidence

Website quality and age, licence and permit status, filing recency, multi-location footprint, category, geography, entity age — things that can be checked rather than assumed.

Fitted to your closed deals

If you can hand us a history of what closed and what did not, weights are fitted to that history rather than picked out of the air.

Explanations attached

Every score arrives with the three or four factors that drove it, in plain language, on the record itself.

Tunable in the open

Weights live in a configuration your team can see and change. No black box, no 'the model decided'.

$1,500starting price for this build type
  • What sets the number: how many sources have to be parsed, how clean those sources are, how much data moves, and where the output has to land — not how long we spend.
  • Fixed, in writing, before development starts. A paid source-mapping phase comes first so the quote is based on what the records actually contain.
  • Hosting and maintenance are optional. Decline them and everything still runs, because you hold the code.
  • No per-lead fees. We do not meter your own data back to you.

Questions

Is this machine learning?

Sometimes, and only when the data earns it. With a decent volume of labelled outcomes, a fitted model beats hand-tuned weights. With a few dozen closed deals it does not, and a transparent rules-based score is both more honest and more useful. We will tell you which situation you are in.

What if we have no historical data?

Then we start with rules built from what you know about your best customers, and revisit once six months of outcomes exist. Pretending a model is trained when it is not would be the easier sell and the worse product.

Can reps override the score?

They should be able to, and the overrides are worth more than the model. Disagreements between a rep and a score are the cleanest training signal you will ever get.

Describe the problem, not the spec.

Tell us who you are trying to reach and how you find them today. We come back with a source map, a fixed price, and an honest note on anything we do not think will work.