Lead intelligence
Decimio builds the list or takes the one you have, fills in the names, titles and verified work emails, and puts it in the order you would have called it in. You are charged for what arrives, never for what was tried.
| Company | Headcount | First name | Last name | Job title | Work email | Label |
|---|---|---|---|---|---|---|
| Harbourline Freight | 210 | Marta | Nowak | Head of IT | m.nowak@harbourline.com | Verified |
| Nyxa Systems | 1,400 | Devon | Ashworth | VP Engineering | devon@nyxasystems.com | Verified |
| Peregrine Foods | 640 | Aisha | Rahman | Operations Director | a.rahman@peregrinefoods.com | Catch-all/Accept-all |
| Solvent Labs | 85 | Tomas | Ferreira | Co-founder and CTO | - | - |
| Atria Clinical | 3,100 | Ingrid | Sandvik | Chief Information Officer | i.sandvik@atriaclinical.com | Verified |
Illustrative data. Names and companies shown are fictional.
Where a list comes from
Most tools assume you already have the rows. Decimio will take them, and it will also go and find them, and the two meet in the same table.
01
Drop in a CSV and match your columns once. Re-upload the same file later and the rows update instead of doubling: an existing record is found by its own identity, not by its position in the file.
02
Company name, industry, size band or an exact headcount range, the accounts to include and the ones to leave out. Count it. Counting is free, as often as you like, and the count says which of your filters it was actually able to use.
Your customers, your competitors and the accounts you already work can be excluded by their domains before anything is counted.
03
Select the companies worth having and ask for the buyers at them, capped at as many contacts per company as you choose, so one well staffed account cannot eat the batch. It works in reverse too: a list of people collapses into the companies behind them.
Before anything is spent
Counting a search costs nothing and never will. Adding records is a separate, deliberate step, and the screen that starts it tells you the most it can cost, what your balance will be afterwards, and how many of the rows you are about to buy you already own.
Every figure is worked out on our side from the price list of the day. None of it arrives from your browser, so none of it can be a number somebody edited on the way in.
And when a filter could not be carried, the count says so rather than handing you a bigger number wearing your filters.
Free, however often you do it
1,284
companies
Applied when counting
Not applied when counting
Left out
Industry, Company size could not be applied when counting, so this number is wider than your filters. We still apply them to each record before adding it, wherever the record carries them.
0 credits charged for this count. Nothing has been charged, and nothing will be for counting: it is free, as often as you like.
169
1 credit per company, from today's price list
31 of them are already in your workspace and are not charged for again, so 169 of the 200 can be charged for. 14 are on the do-not-contact list and will not be added.
Illustrative figures, in the words the product uses.
Ranked, not dumped
A good lead is not a job title for most businesses. A dentist wants practices of a certain size nearby. An estate agent wants a landlord with a phone number on file. So ranking here is conditions over fields, each with a weight, and a weight can be negative: what disqualifies an account is as much a part of your ideal customer as what recommends it.
Four ready made profiles are offered the first time you open the screen. Three of them use no job titles at all.
Profile
No job titles. Four conditions and a minimum score.
The order that comes back
Each row carries why it is there, in its own values.
HQ city Leeds. Company size 11-50. Company phone 0113 496 0182.
HQ city Leeds. Company size 51-200. Company phone 0113 224 7710.
HQ city Leeds. Company size 11-50.
Company size 11-50. Company phone 0113 302 5589.
Below the minimum: a company of one to ten takes 40 points off.
Nothing this profile ranks on is on this row, so it is not judged rather than scored zero.
Fictional companies. The scores and the reasons beside them are what the ranking engine returns for exactly these rows and this profile.
Then add titles, in tiers, with the words that should never match. A title you put in the first tier outranks one you put in the second, whatever a fuzzy match thinks of the spelling, and seniority moves a record within its tier rather than across tiers.
Titles are one optional dimension. A profile made only of field rules works perfectly well, and that is the point.
Your spreadsheet, respected
A column we have no field for is not dropped. It is kept under the header your file gave it, it comes back out in the export under that same header, and you can rank on it exactly as you rank on ours. Your pipeline stage, your account owner, your own scoring band: those are judgements you have already made, and making you re-enter them would be the worst thing an import could do.
Spelling is forgiven where it should be. A rule written against "Pipeline stage" still finds a file that wrote "Pipeline Stage", because a header is your text and those are one column to the person who typed them. Punctuation is left alone, because in a header you chose it means something.
A column of yours named the same as one of ours stays a separate column. They are different questions and the export keeps them apart.
| Score | Company | Pipeline stage | Owner | Size |
|---|---|---|---|---|
| 90 | Ravenscroft Joinery | Won | Priya | 11-50 |
| 30 | Thwaite Dental Care | Open | - | 51-200 |
| 0 | Ninefold Studio | Lost | Sam | 11-50 |
Honest results
There are six words, they mean the same thing on every screen, and they are worked out from what we actually know each time you look rather than stamped on the day you bought the row. A value gets older; its label changes with it.
A loose name match stays a loose name match. Nothing is talked up into a high confidence decision maker to make a fill rate look better, and a source claiming a value is good cannot outvote its own low confidence in it.
When a detail cannot be found, the row says so and the batch says "Nothing found". No invented addresses. No guessed patterns presented as verified. Nothing adjacent served because the thing you asked for was unavailable.
Each kind of field has its own freshness window: sixty days for a job title, ninety for a verified work email, a hundred and eighty for an identity, and a single day for anything sold as news. Past it we say stale rather than current.
What you actually pay for
Running a batch holds credits rather than spending them. At the end, only what was delivered settles and the rest of the hold goes straight back. Look for a person and find nobody, and it costs nothing. Find the person but fail to verify an email for them, and you pay for the half that worked.
What this batch cost
Twenty four rows found nobody relevant. They cost you nothing, and the ledger keeps every line rather than editing the charge away.
Buy a person prospect at 2 credits today, and a Complete Contact over the same person later, and the second one charges 6, not 8: you already paid for the part they share. Ask a third time and it charges nothing.
When we get it wrong
Not a goodwill gesture with a support ticket attached. A process, on a screen, with a decision and a reason you can read again later. Report an address that hard bounces, we re-check it, and if it is confirmed wrong the credits for that field land on your balance as part of the decision.
The window
From the day the value was delivered to your workspace. The screen lists only the values still inside it.
What comes back
The standalone price of the field that was wrong, not the price of the package that carried it.
The floor
Or a tenth of your last thirty days of spend, whichever is greater, so a small account is not promised nothing.
The ceiling
Per thirty days. Go past it and we say so with the numbers rather than refusing quietly.
Confirmed wrong, and it is credited back. The value stands, and we say so rather than paying to avoid the conversation. Or nothing can re-check it, in which case we uphold your evidence.
A confirmed failure counts against wherever the value came from. Enough of them and that route is stepped over for a period, so your report improves the next customer's data as well as your balance.
A credit back is a new line beside the old one. The ledger cannot be rewritten after the fact, which is the only version of this worth trusting.
After the list exists
Lists live in your workspace. Select rows, and every one of these is one button away. Opening any of them costs nothing; only adding records does.
Add a column
Each column on offer is a question about the selected rows, priced per row before you start. The answer lands as an ordinary column you can sort, search, export, and ask the next question from.
Find people there
The buyers at the companies you have selected, capped per company.
Show their companies
The reverse: a people list collapsed into the employers behind it.
Find companies like these
A search built from what your best rows actually have in common. If they have nothing in common, it says so instead of guessing.
Rank by
Apply a saved profile and the whole list reorders, each row carrying its reasons.
Export
A clean CSV, your own headers included, and every one of them distinct.
A search you like is saved with its filters and reopened later with a fresh count. A ranking profile is saved and applied to any list. Both belong to your workspace and go nowhere else.
Work runs in the background and reports progress, then shows what it cost and what it delivered, row by row. A batch that cannot make progress says so at the start rather than sitting still with your credits held.
What you never have to do
No fallback chain to tune, no per source balance to top up, no comparing one vendor's coverage against another's. That work happens behind the product, so it does not happen to you.
Suppress an address, a whole domain or a profile, and that person is not looked up, not charged for and not delivered again, from any direction: not through a search, not through their employer, not on a re-import.
Records already in your workspace, already paid for, or on your do-not-contact list can be excluded before a search is even counted, and the quote tells you how many were taken out.
No analytics, no tag manager, no hosted fonts. Every byte of this site comes from this site, so reading it announces you to nobody. A test fails the build if that ever stops being true.
No analytics, advertising or tracking cookies. What we do store keeps you signed in and remembers how you arranged the interface, and the Cookie Policy names every one of them.
When a personal detail is shown to a workspace, that is recorded: what, to whom, and when. It is the record that makes an answer to a data subject possible at all.
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Tell us who you sell to and how you work today. If we can help, we will get you set up. If we cannot, we will say so, which is the same answer the product gives.
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