How do marketers compare consumer audience providers for data quality?

Marketers should compare consumer audience providers against the same written audience definition and the same quality checks. Database size alone says little about whether the available records fit a campaign.

DB TO DATA recommends separating selection quality from contact quality. A correctly formatted number can belong to somebody outside your service area. A complete record can still be outdated. Measuring those issues separately makes a supplier comparison easier to explain.

Turn “quality” into measurable questions

Define the required market, channel and fields before requesting a quote. Then identify what makes a delivered record usable: the correct country, required geography, a usable contact field, no duplicate in the delivery and enough supporting information for your intended use.

Record the denominator for every measure. Field completeness is completed required fields divided by expected required fields. Duplicate rate is duplicate records divided by delivered records. Audience fit is records matching your written brief divided by records reviewed. Mixing these measures produces an impressive number that explains very little.

Permission evidence needs its own assessment. A well-populated contact file does not automatically establish a permitted marketing audience. Keep that decision separate from formatting and completeness scores.

Compare representative samples

Ask each provider for the same selection and, where available, a representative sample. Review samples by country or segment so strong coverage in one group cannot conceal weak coverage in another.

Document the checks and the date you performed them. Use consistent rules for missing fields, shared household contact details and numbers appearing with different formatting. If you treat those inconsistently, the comparison may reflect your cleaning process instead of supplier quality.

For example, a hypothetical provider may deliver fewer complete city fields but better fit inside your service territory. Another may fill every city field while using broad or inconsistent location labels. Your buying decision should reflect the requirement that actually matters to the campaign.

Ask how changes reach buyers

Discuss checking methods, field-level dates, correction handling and the meaning of any accuracy claim. Does a date refer to the whole file, a contact channel or a particular attribute? Ask what happens if an agreed field is wrong and how exceptions are documented.

Also ask how suppression and correction requests affect future deliveries. Quality includes the ability to stop repeating a known error.

Build a purchase decision you can defend

Use a simple scorecard with separate entries for audience fit, required-field completeness, duplicate handling, freshness evidence, permitted use and commercial terms. Set your own priorities before seeing suppliers’ results.

Our data source information and consumer email page provide starting points for questions to DB TO DATA. Request details for the actual selection being quoted.

For purchased personal data, the European Commission’s third-party marketing guidance is a useful source on assessing the supplier’s ability to share and use the information. Make that assessment alongside the quality scorecard, before scaling a campaign.