Your CRM Isn’t ‘Garbage In, Garbage Out’… It’s ‘Half Right, Half Risky’

Half Right, Half Risky

Why CRM data quality is quietly hurting revenue and GDPR – and what to do about it

Your CRM probably is not “garbage”, but the risky half of your data is costing you pipeline and creating GDPR headaches. Here is a clear, commercial plan to tidy it up and turn it into a genuine asset.

CRM data quality is rarely all bad, but “half right, half risky” is far more common than anyone likes to admit. From a commercial perspective, that matters: UK B2B data decays at roughly 40% per year, and Data HQ analysis shows 38.9% of contacts in the UK’s 20,000 largest companies have changed roles or left. Every year you carry on as if your CRM is fine, you quietly accept wasted spend, weaker campaigns and more GDPR exposure.

The commercial reality of ‘half right’ CRM data

Most leadership teams assume the CRM is broadly accurate because sales are still closing and marketing emails still go out. The reality underneath is usually messier. Some records are perfect, some are a bit off, and a meaningful chunk is frankly guesswork. The problem is that the risky portion has a very real cost.

From a business perspective you see that cost in three places:

• Wasted effort: Sales teams spend hours chasing out-of-date contacts or wrong-fit accounts instead of working live opportunities.
• Underpowered campaigns: Targeting is built on old sectors, headcounts and roles, so even good creative underperforms.
• Bad decisions: Board reports based on flawed data give a distorted view of market coverage and potential.

B2B email is still one of the most profitable channels, with DMA research putting average ROI at around £42 for every £1 spent. But that only holds if your messages reach valid, relevant contacts. If 30 to 40 percent of your audience is off the mark, your real ROI is much lower than the spreadsheet suggests.

As Bec Burrows, Sales Director at Data HQ, explains: "Every sales conversation is easier when you're calling the right person at the right company. One verified decision-maker beats ten outdated contacts." The bottom line is simple: half-right data pulls down performance across the whole funnel, even though it looks harmless on the surface.

Where GDPR and CRM data quality quietly collide

Data quality and GDPR are often treated as separate topics: revenue on one side, risk on the other. In reality they are tightly linked. The same gaps and errors that waste marketing budget also make it harder to prove that you are handling personal data properly.

Risk hides in the grey areas

Very few organisations are knowingly reckless. Instead, risk sits in the grey areas:

• Old lists still being emailed with no clear lawful basis recorded.
• Job changes where the “new” person never actually consented.
• Contacts that should have been suppressed but are duplicated in another system.

When records are incomplete or inconsistent, it becomes difficult to answer simple questions like: “Where did we get this contact?”, “Have they objected?”, “Are we sure this is still them?” That is exactly the kind of scrutiny regulators apply after a complaint.

Data HQ’s Vista database is maintained against 12 authoritative sources, including Creditsafe, Dun & Bradstreet and Cognism, with around 12 million records processed weekly. That kind of discipline is what lets you track provenance, updates and accuracy over time. The same principles apply to your own CRM, even if the volume is much lower.

As Adam Cutting, Data Solutions Director at Data HQ, explains: "With 40% annual data decay, a database that isn't actively maintained becomes a liability rather than an asset." In other words, standing still on data quality is not neutral from a GDPR point of view, it increases exposure every year.

A simple plan: reduce risk, grow revenue

The good news is you do not need a huge transformation programme to move from “half right, half risky” to “good enough to trust”. From a commercial standpoint, the aim is to focus effort where it shifts revenue and risk, rather than chasing abstract perfection.

1. Start with a clear audit of what you actually have

Begin with a structured audit of your CRM and marketing lists. Look at:

• Match rate against an external reference such as Data HQ’s Vista database of 6.5 million verified UK business contacts.
• How many records have missing or invalid email, phone, or company data.
• Where consent or lawful basis is recorded, and where it is not.

When clients run these checks with Data HQ, it is common to see around 20 to 30 percent of records either corrected, removed or flagged. That immediately reframes the conversation from “we have 100,000 contacts” to “we have 70,000 usable ones and clear work to do on the rest”.

2. Clean and enrich the data that actually drives value

Next, decide which parts of the database justify investment. For most B2B organisations this means:

• Current customers and active opportunities.
• High-value sectors and segments.
• Territories or routes to market that are strategic for the next 12 to 24 months.

Focus cleansing and enrichment on these first. Data HQ’s Revive service, for example, can correct addresses, remove gone-aways, refresh decision-makers and append missing firmographics under a 95% accuracy guarantee. You end up with smaller, sharper lists that both sales and marketing can trust.

Because this work is targeted, the commercial case is straightforward: fewer bad calls, fewer bounced emails, stronger campaign performance and a cleaner audit trail if you are ever asked to justify your contact strategy.

3. Put data quality on a simple, repeatable cycle

The real return comes when data quality stops being a one-off clean-up and becomes a standard part of how you run the business. In practice that means:

• Agreeing an update cycle for key segments, for example quarterly for strategic accounts.
• Putting basic validation and de-duplication rules into your CRM and marketing tools.
• Running regular cross-checks against a trusted source such as Vista, rather than waiting for complaints or campaign failures.

From a business perspective, this turns CRM data quality into managed spend in support of revenue and compliance, rather than an open-ended cost. You know what you are investing, what you are protecting, and what you are likely to gain in additional pipeline and reduced risk.

If you would like to quantify the commercial impact on your own database, or sense-check where the biggest wins might be, start a conversation with our team. The businesses winning on B2B marketing and sales are not always the ones with the biggest budgets, they are the ones that can trust the data their decisions are based on.