Your database should give your marketing and sales teams confidence, not questions. We validate, cleanse and standardise your existing B2B data so you can reach the right people, reduce wasted marketing spend and make better decisions.
Bespoke B2B data services. Technology-powered. Human-led.
Illustrative example, not actual client records.
Data rarely becomes inaccurate overnight. People change jobs, organisations close, records get duplicated and contact details become outdated. Small changes accumulate until they begin affecting your campaigns.
Repeated contacts and organisations can distort reporting and create unnecessary work for your team.
Invalid addresses affect deliverability and can put your email-sending reputation at risk.
Contacts leave organisations, companies cease trading and once-useful records become outdated.
Different naming conventions and formats make it harder to create reliable, targeted marketing audiences.
Inconsistent underlying data makes campaign reporting and audience analysis less dependable.
Unreachable contacts waste time, campaign resource and money that could be focused on genuine prospects.
We assess the wider health of your database, address the issues affecting its quality and help make your existing audience more valuable.
Identify valid, invalid, uncertain and higher-risk contact records, including executive email addresses.
Identify and consolidate duplicate contact and organisation records while preserving valuable information.
Bring greater consistency to field formatting, company information and database structures.
Correct, remove or appropriately flag problematic records according to your requirements.
Apply manual and forensic validation where additional research is needed to establish confidence.
Understand the issues identified, the work completed and the recommended next steps.
Not every database issue can be resolved by software alone.
Our automated technology processes large volumes of records efficiently. When a contact cannot be confidently validated, our data specialists can investigate further rather than incorrectly classifying the record.
That means the speed of technology, supported by experienced people who understand B2B data.
Processing tens of thousands of records per hour, with up to 97% validation accuracy.
Additional investigation for uncertain, catch-all and higher-risk records where required.
A final dataset supported by an audit of findings and recommended next steps.
A straightforward process, tailored to the condition of your data and the outcome you want to achieve.
Understand your database, current challenges and business objectives.
Identify data quality issues, duplicates, invalid contacts and gaps.
Apply automated checks to assess records efficiently at scale.
Review uncertain or complex records manually where required.
Resolve agreed quality issues and standardise data fields.
Review the completed work before delivering the final dataset.
Receive your validated and cleansed database with an audit summary.
Understand what further actions could improve your data over time.
The real value comes when your marketing, CRM and sales teams can spend less time fixing records and more time reaching the right audience.
Reduce rejected deliveries and support a healthier sending reputation.
Stop committing campaign resource to contacts that are no longer reachable.
Work with better structured information for more accurate audience targeting.
Base decisions on more consistent and dependable database information.
Give your internal teams more time for sales, marketing and growth.
Know the data behind your next campaign has been properly assessed.
The Movers & Storage Show had gone more than four years without validating its database. Engagement was declining, bounce rates were being flagged and outdated records were undermining marketing effectiveness.
We identified contacts who had moved organisations, invalid information and companies that had ceased trading. The project also delivered a full data audit and next-step recommendations.
The client has subsequently returned for annual database validation.
Checking an email address is one thing. Understanding the quality and usability of your entire database is another.
We assess duplicates, inconsistent fields, incomplete records and other quality issues, not just emails.
Specialist researchers can investigate difficult records that automation cannot confidently resolve.
We work with your existing data and shape the project around your requirements.
Understand the current condition of your database and the next steps worth prioritising.
Validation checks whether data is accurate and usable, particularly contact and email information. Cleansing is the broader process of identifying and resolving data quality issues, including duplication, inconsistencies and invalid records.
Yes. We identify and consolidate duplicate records while preserving important information where appropriate and in accordance with the agreed project scope.
Yes. Our automated processes assess email validity, with specialist manual review available for uncertain, catch-all and higher-risk records.
Our automated validation tools achieve up to 97% accuracy. Results depend on the data being assessed. Where confidence is insufficient, records can be flagged for further investigation rather than incorrectly treated as valid.
Most validation and cleansing projects can typically be completed within five working days. The exact timeframe depends on database size, complexity and any manual investigation required.
You receive your cleansed and validated database alongside an audit summary. Depending on the project, this may also include duplicate reports, validation findings, health assessments and recommendations.
Usually an authorised database export such as Excel or CSV, relevant field definitions and an explanation of your objectives and data quality concerns. Appropriate permissions for processing must be in place.
Tell us about your database and what you are trying to achieve. We will help you understand the options, identify the right starting point and recommend the next step.
Pass it to the data experts.
