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Dealing with the menace of dirty data


In 2012 the Royal Mail admitted to destroying 15 million undeliverable items a year. This massive wastage is perhaps not surprising when, every year, six million people move home, 600,000 people die and 500,000 addresses change for reasons such as postcode boundary changes; so keeping data clean and up-to-date is a constant battle.

Charities are huge users of direct mail because donors tend to be older, more affluent people who respond well to this channel. This makes data cleansing incredibly important, especially when fundraisers are expected to spend their budgets as effectively as possible – wasting money on large volumes of incorrectly addressed mail is unacceptable.

However, it’s not just about the money. Being seen to be wasteful (in terms of both lost budget and environmental issues around unopened mailpacks) can create bad PR, while mailing people who are deceased has the potential to be even more damaging to the brand. Indeed, complaints about charity mailings rocketed by 36 per cent last year. Think of the fallout for a cancer charity if a widow receives a mailing from them addressed to her husband who died from cancer.

Many charities feel it’s enough to have robust processes for dealing with complainants and returned mail (known as goneaways) by removing these records from their mailing files. However, most people simply bin incorrect mailings rather than making the effort to return them. So charities need to start making their data clean and correct before mailings are sent out because, by the time a goneaway is received, it’s already too late: money has been wasted and damage done.

Data cleansing is a relatively simple operation and, as data protection laws continue to be tightened, is something that charities have to do to ensure compliance with the law. So why are so many charities letting their data go dirty?

One reason is that many fundraisers are targeted by their trustees to mail a given number – sometimes millions – of people a year, because boards misguidedly believe this is how to maintain donation levels. This disincentivises marketers from cleaning data because cleaning reduces mailing volumes. But if trustees understood that data cleansing enabled them to spend less and make more money by reducing wastage and improving response rates, they might look at changing their marketing objectives.

The two other reasons are that charities don’t have data cleansing budgets, or they don’t have time to include it in their campaigns. I don’t buy these reasons, though, because the process of cleansing only takes two or three days, even for huge mailings. And the cost of data cleansing is typically dwarfed by the money charities save. For example, data cleansing activity we carried out with Children with Cancer saved £48,000 that would otherwise have been wasted on incorrectly addressed mail – and this was just across two campaigns.

So here are six steps charities can take to clean up their data:

Use experts: Find an expert data cleansing bureau – it will have the external data resources required, such as lists of the deceased and goneaways, which it can match against a charity’s data to identify what records need updating or suppressing. Take the time to investigate different data cleansing routines and choose the supplier that can meet the charity’s specific needs – evidenced through case studies and testimonials.

Undertake a data audit: before every campaign ask your bureau to validate your data (including bought-in files) against their files. This should be free and will show if a full data cleanse is required.

Apply a Unique ID: Often called a unique reference number, applying an individual ID to each record is essential for managing data accurately and tracking any changes. This also helps in identifying bad data sources.

Ensure accurate data capture and input: Create a guideline for data capture to improve basic data quality, ensuring that all required data fields are made mandatory, such as postcodes. Keep standards the same – Road or Rd, Limited or Ltd – as this improves data cleansing accuracy and makes processing time more efficient.

Little and often: Don’t end up with a large annual data cleansing bill. Cleansing data monthly or quarterly cuts mailing costs and reduces wastage.

Allow enough time: Give the bureau plenty of time to do the necessary checks to ensure it’s done properly – more haste, less speed.

Finally, charities need to adjust their priorities. Data cleansing might not be as exciting as creating a cool mailpack that stands out on the doormat. However, it’s where a real difference can be made. If someone’s name is spelled incorrectly or they no longer reside at the address, the investment in creativity is lost.

Given that the Information Commissioner’s Annual Report and Financial Statements 2013/14 shows that inaccurate data is one of the top three reasons for complaints about direct mail, data cleansing is potentially a powerful investment in building and maintaining a charity’s brand values.

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