Two different jobs, often confused
Sales teams ask me a version of this question most weeks: "We already use ZoomInfo (or Lusha, or LeadIQ), and they screen against TPS. Do we still need a CRM-side scrubber?" The honest answer is yes, and the reason is not that the data tools are doing a bad job. They are doing the job they advertise. It is just a different job from the one TPSClear does. Lookup tools clean numbers at the moment a rep pulls them. CRM-side tools clean the numbers already sitting in your database. Those are complementary layers, not competing ones.
Here is what each layer actually catches, where the gaps are, and why most outbound teams want both.
What lookup-time scrubbing does
ZoomInfo, Lusha, LeadIQ, and most enrichment tools in that category offer some form of TPS check at the point of fetch. The shape varies by vendor, but the pattern is consistent: when a rep clicks "reveal phone" or pushes a contact to the CRM, the tool checks the number against the TPS register and either suppresses it from the result, flags it as registered, or omits it entirely. Some tools surface a compliance label so the rep can decide. Others quietly hold the number back.
That is genuinely useful. It means a rep working a list inside ZoomInfo or LeadIQ is unlikely to push a TPS-registered consumer number into the dial queue at the moment of the action. For the contacts that flow through the tool, the moment of enrichment is clean.
What lookup-time scrubbing does not catch
The gaps are not about quality, they are about scope. There are four patterns where a lookup-time check cannot help, because the contact never went through the lookup-time tool in the first place, or did so a long time ago.
1. Records that arrived from other sources
Most CRMs are a melting pot. Numbers come in from web form fills, manual entry, CSV uploads from a list partner, sales reps adding contacts from LinkedIn, integrations with event platforms, deals inherited from acquired companies, data shares with sister teams, and so on. None of those records were touched by your enrichment tool. The lookup-time check ran for the contacts that came through that tool, and only those. Everything else is unchecked unless something else screens it.
2. Drift on contacts that were once clean
TPS is not a static list. People add themselves daily. A contact that was not on TPS when your data tool fetched them in January may have registered in March. The lookup-time check ran once, at fetch. It does not run again. Six months later that record is still in your CRM, still flagged "clean" by the import, and now silently non-compliant. See how often you should check TPS for why drift is the part most teams under-weight.
3. Records updated outside the tool's flow
A rep edits a contact and corrects the phone number. A workflow appends a mobile from a different source. A CSV import overwrites an old number. The original lookup-time verdict was attached to the old number and is now stale. The tool does not necessarily re-run when the field is edited inside the CRM, because the edit happened outside its flow.
4. CTPS, often
Most lookup tools focus on consumer numbers. CTPS, the corporate equivalent, is a smaller register and does not always get the same coverage. If you call business numbers, you need both registers screened. Worth checking what your data tool actually does for CTPS, because it varies, and the documentation is sometimes thin. Background on the distinction: TPS vs CTPS.
The CRM-side scrub layer
CRM-side scrubbing is the other half. The job is to look at every record with a phone number that lives in your CRM, regardless of how it got there, and re-screen it against current TPS and CTPS data. Continuously. The pattern that holds up under ICO scrutiny is: re-screen daily as a baseline, plus real-time on phone change, plus on import. That keeps the verdict on every record fresh, and it covers the records the lookup-time tool never touched.
That is what TPSClear does inside HubSpot and via API. Every contact and company with a phone number, screened daily, re-screened the moment a number is added or edited, against the same DMA-licensed TPS and CTPS data. The verdict and the timestamp are written back onto the record so an auditor can see what was checked and when.
Why these are complementary, not competitive
The framing that helps most teams click is this: lookup tools clean the moment of fetch; CRM-side tools clean the universe of records you already have. They do not overlap meaningfully. A contact that came in via ZoomInfo this morning is fine. A contact that came in via a webinar two years ago, was cold for eighteen months, and just got assigned to a new SDR, is exactly the kind of record a lookup-time tool was never asked to consider. CRM-side scrubbing is what catches it.
Neither layer is sufficient on its own. A team that only uses lookup-time is exposed on imports, drift, and CTPS. A team that only uses CRM-side scrubbing is screening reactively on records that could have been filtered before they arrived. Run both and the gaps close.
Practical recommendation
Keep your data tool. ZoomInfo, Lusha, LeadIQ are doing real work at the point of enrichment, and you do not want to lose that. Add a CRM-side scrubber so the records that did not come through the data tool, and the records whose status has drifted, also get screened. Make sure both layers leave an audit trail: the lookup-time verdict on the contact at import, the CRM-side verdict refreshed on a known cadence. If a complaint lands, you want to be able to show the ICO both checks happened and when.
For the CRM-side layer, the things to confirm are: it covers TPS and CTPS, it re-screens on a defensible cadence (daily plus real-time is the bar), it writes the verdict back onto the record, and it is operated by a DMA-licensed list cleaner so the reference data is itself current. See the TPS compliance guide for the regulatory background, or the HubSpot integration and developer docs for the TPSClear specifics.
Side-by-side: what each layer does
| Layer | Lookup-time tools | CRM-side scrub |
|---|---|---|
| Examples | ZoomInfo, Lusha, LeadIQ, similar enrichment platforms | TPSClear and other DMA-licensed list cleaners |
| When it runs | At the moment a rep fetches or reveals a number inside the tool | Continuously: daily baseline, plus real-time on phone change and on import |
| Records covered | Contacts that flow through the lookup tool | Every record in the CRM with a phone number, regardless of source |
| Catches drift after import | Not the design intent; the check runs once | Yes, that is the core job |
| Catches form fills, manual entry, partner data, integrations | Only if those records are subsequently passed through the tool | Yes, by default |
| CTPS coverage | Varies by vendor; often weaker than TPS | Both registers, same cadence |
| Audit trail | Verdict at point of fetch | Verdict and timestamp written onto the record, refreshed continuously |
The short version: data tools and CRM-side scrubbers are not competing for the same job. Use the data tool for clean enrichment. Use the CRM-side scrubber for clean records. The teams that get this right run both, and they document both, so the answer to "how did you check?" is two layers, not one.