Bought Database vs Live Search: Which Leads Are Real

A bought list is a photograph and a live search is a window, and the difference matters more for this market than for almost any other — because the field your entire pitch rests on is the one most likely to have changed.

The published numbers are not gentle, and they apply to every source of leads in this category. B2B contact data decays at 22–30% a year, roughly 2.1% a month, and in some industries considerably faster. Independent testing puts typical provider accuracy at around 50%. A list bought in January is materially worse by summer, and it was already half wrong on the day it arrived.

For most lead data, decay means a wasted call — the person left, the number changed, the company moved. Annoying and survivable.

For a list of businesses without websites, decay means something worse. The businesses that drop off your list are the ones that *got a website*, which is to say the ones who solved the problem you were about to describe to them. You do not lose a contact, you lose your entire premise, and you find out mid-sentence.

"I noticed you don't have a website" — said to somebody who launched one in March — ends a conversation in a way no other data error does. It establishes, in eight words, that you did not look before you called.

That asymmetry is the whole argument. This is the rare market where the decay is concentrated in exactly the field the pitch depends on.

Not a marketing word, and worth being precise about, because everything calls itself real-time.

A static export is a file. It was true when generated and nothing updates it, including the export you pulled from a live tool last month.

A maintained index is a database that is re-checked on a cycle. When a later check shows a business now has a site, the record is corrected. Ours works this way specifically so the published gap figures do not drift upward as businesses build sites — a correction that quietly makes our own headline number smaller.

A genuinely live query hits the source at the moment you ask. Most accurate, slowest, and most expensive per request, which is why nobody uses it for bulk work.

In practice the useful distinction is between the first and the second. A maintained index is right most of the time; a file is right on the day it was made.

At roughly 2% a month, arithmetic gives a usable rule of thumb for this market specifically — and it is stricter than for general B2B data, because of the asymmetry above.

Applied to the website field rather than to contact details, which decay differently.

The cheap mitigation costs eight seconds: check the listing on your phone before you walk in. It catches the one error that matters, needs no tooling, and is worth more than any freshness guarantee a vendor can offer you.

Most people reading this already own a list of some age, and rebuilding it is usually unnecessary. Verifying it is cheap if you do it in the right order.

Spot-check twenty before you re-check a thousand. Pull twenty at random and load each listing. If nineteen are still correct, the list is fine and you have spent ten minutes. If four have changed, you know the whole thing needs work before you know how much work.

Re-check by age, not by whole list. The businesses added most recently are the ones least likely to have changed. Sorting by when a record was last verified and re-checking only the oldest third gets most of the benefit for a third of the effort.

Never re-check by calling. The point of verification is to avoid the bad conversation, and using the conversation to verify is the same error with extra steps.

It often is, and the honest version of this comparison has to say so.

If you are working it within a few weeks, a static export is functionally identical to a live one and usually cheaper. Decay of 2% a month is not a reason to pay a subscription for a list you will exhaust in a fortnight.

If the field you care about is stable, buy the file. Category, address and business name barely move. It is website status, phone numbers and staff that rot.

If you are testing whether outbound works at all, a cheap static list answers that question perfectly well, and it is a better first spend than tooling.

The case for a maintained index is specifically: repeated use over months, a field that changes, and a pitch that is embarrassing when the field is wrong. All three happen to describe this market, which is why we built one — but they do not describe everybody's.