What is an Eircode?

Ireland’s postcode network, Eircode, was established in July 2015. A seven-character alphanumeric postcode is known as an Eircode. Every Eircode is specific to a mailing address and its area. 

 

In Ireland, almost 35% of properties share their address with at least one other residence, making it very difficult to locate a specific address. Unlike in other nations, where postcodes establish a group of addresses, each home and commercial postal address in Ireland is allocated an individual Eircode, aiding in address verification

 

Eircodes, like postcodes in other nations, aid the shipping and postal industries in locating accurate addresses. The Routing Key, the first three characters of the Eircode, specify the postal region associated with a building or property’s postal address. In Ireland, there are 139 separate postal regions. These postal areas are not limited to a single county and may cross over county lines. 


How do Eircodes work? 


A Routing Key and a Unique Identifier are the two elements of an Eircode. Three characters make up the Routing Key. The significant post town associated with a business or property’s postal address is identified by this sequence of numbers and letters, facilitating address lookup. All Eircodes issued to locations within that postal region have the same Routing Key characters. 

 

Each unique identification is distinct and specific to your residence or business. They aren’t in any particular order. This is to avoid a situation where a new building is built between two old ones, and the code sequence is disrupted, necessitating the changing of all Eircodes in the region. 

 

Except for the postal districts in Dublin, which have had their current postal codes translated into a routing key format such as D03, D12, and D22, the letters are not related to a county or city designation.


What is the difference between Eircode and Postcode?   


Postcodes and ZIP codes are numerical and alphabetical sequences that symbolise groups of people in specific geographical locations. Companies can use postcodes for a variety of key use cases because they are a strong resource of demographic data. 

 

However, they frequently encompass several dwellings, making it more difficult to locate a customer’s proper location if homes are named rather than numbered. This challenge underscores the importance of address verification

 

Eircode, on the other hand, assigns a unique identity to every property in Ireland, making it easier to locate residences and companies, especially in rural areas. 

 

Why use Eircodes for deliveries in Ireland? 

 

The increase in online shopping is excellent news for online retailers, but with a higher rural population than the EU average, precisely locating clients in Ireland can be difficult. Any company delivering goods in Ireland must have Eircode data. Those who use the address lookup software with Eircodes add-on to collect clients’ addresses should expect to see:  

 

A reduction in failed deliveries  

It’s obvious that incomplete or inaccurate delivery details will result in failed deliveries. Eircode gives another level of concrete data to help drivers deliver correctly and on time, hence enhancing the brand image. 

 

Customer experience  

If your address lookup software can’t locate their address, Irish customers are likely to abandon their transaction. Making the checkout process as simple as possible and providing extra data sets like Eircode would not only improve the customer experience, but also satisfy customers and increase conversions for your brand. 

 

Reduced costs 

As a business, providing proper delivery details to your courier operator ensures that you won’t be held accountable for unsuccessful deliveries. Some couriers will only cooperate with retailers who supply confirmed addressing data or will give them a discount if they do. 


Address lookup with Eircode validation from Fetchify  

 

ECAF (Eircode Address File) and ECAD (Eircode Address Database) can now be added to the Fetchify Address Lookup as one of our premium data sets to guarantee accurate address verification and validation within Ireland, resulting in quicker checkouts for customers and accurate delivery addresses for drivers.  

 

To activate Eircodes on your Fetchify account please contact your account manager or our Customer Service team to ensure seamless address verification


The Fetchify difference 


We process millions of data transactions weekly for thousands of clients, from small e-commerce start-ups to large household brands such as LG, Heinz and RBS. Our flagship products, Address Auto-Complete and UK Postcode Lookup, reduce friction on checkouts, leading to increases in conversion rates, and help reduce failed deliveries and customer frustration. 
 

We are proud to offer fit-for-purpose plug-and-play integrations with most leading business software platforms. We enjoy global coverage in over 250 countries, with businesses from various industries benefiting from our address verification offering. Make sure to Get in Touch and experience the Fetchify difference – like thousands of e-commerce businesses around the globe. 


The best part is you can try out our 14-day Free Trial before committing to our services. Our excellent technical and customer support team is on hand to answer your burning questions. Make sure to Get in Touch and experience the Fetchify difference – like thousands of e-commerce businesses around the globe. 

About Fetchify


Fetchify’s address lookup and data validation platforms cover more than 250 countries, and increases customer conversion with the fastest, most accurate customer data capture. Fetchify’s flagship products – Address Auto Complete and Postcode Lookup – reduce friction at the checkout, and also significantly increase the number of successful deliveries. Founded in 2008, Fetchify processes millions of data transactions every day for clients ranging from startups to established high-street names, and offers a full suite of data validation tools, including phone, email and bank, too.

By Fiona Paton July 15, 2026
Why membership organisations can't afford to confuse data failure with genuine attrition, and what to do about it. Membership organisations are meticulous about tracking renewals. Lapse rates, retention percentages, and win-back campaign performance. The numbers are watched closely because every member lost represents real, recurring revenue that is hard to replace. But there is a category of membership loss that most organisations are not measuring at all, because it does not look like a loss. The renewal notice went out. The direct debit ran. The email was sent. On paper, everything worked. The member just never received any of it, because the contact details in the CRM are no longer correct. That is not attrition. It is a data failure. And across an industry that collectively manages tens of millions of member records, the scale of that problem is significant. The context that makes this more urgent Discretionary memberships are under pressure. The cost-of-living squeeze that tightened household budgets from 2022 onwards has made memberships that feel optional the first thing to go when money is tight. Even organisations with healthy long-term growth are seeing more volatility in year-to-year renewals as a result. In that environment, the last thing any membership organisation can afford is to also lose members it could have kept. Where membership data goes wrong Membership databases face a specific version of the data decay problem. Individual consumer databases decay because people move house, change email providers, and update their details without telling organisations they have. Membership databases face all of that, and an additional layer. For organisations with corporate or trade members, a single record represents an organisation rather than a person. The contact within that organisation (the membership secretary, the finance director, the branch representative) changes. People move on, retire, change roles. When they do, the relationship between the membership organisation and its member frequently breaks down not because the member chose to leave, but because communications are still going to someone who is no longer there to receive them. The result plays out across three specific failure points: EMAIL The most common and least visible failure. A contact leaves, their email address is deactivated, and every communication sent to that address (renewal notices, event invitations, membership benefits updates) vanishes. Hard bounces accumulate quietly. The member organisation receives nothing and assumes the membership is simply not being renewed. The membership body assumes disengagement. Neither has the full picture. BANK AND DIRECT DEBIT DETAILS For memberships renewed by direct debit, banking changes are a silent killer. A company changes its banking provider. A new finance director updates account details. The existing direct debit mandate becomes invalid, payments fail, and depending on how the failure is handled, the membership lapses without the member organisation ever intending to cancel. Card payments carry a similar risk. An expired card on file can produce the same quiet failure, particularly for individual members renewing on their own card. ADDRESS AND CONTACT DETAILS Physical correspondence, including renewal packs, membership cards, and formal notices, still matters for many membership organisations. When a member company moves, changes its registered address, or restructures its office function, paper communications go astray. The record in the CRM shows an address that was correct at the point of joining. Three years later, it reflects a reality that no longer exists. The numbers behind the problem The UK's largest membership bodies collectively manage memberships in the millions. MemberWise's Influence 100 list puts total membership across the top 100 UK bodies at over 40 million. Apply the standard data decay rate of 30% per year to a sector managing membership records in the millions, and the scale of the problem becomes clear. For an organisation with 100,000 members that has not run a data cleanse in the past twelve months, somewhere in the region of 30,000 of those records may now contain at least one material inaccuracy. Why it's harder to spot in membership organisations In eCommerce, data quality problems show up quickly. A failed delivery generates a return. A hard bounce triggers an alert. The feedback loop is short enough that the problem surfaces before it compounds too far. In membership organisations, the feedback loop is annual. Renewals happen once a year. A contact detail that goes stale in February may not cause a visible problem until the following January, when the renewal communication fails to land. By then, twelve months of communications have been going to the wrong place, the member has had no contact from the organisation, and the lapse looks, from the outside, like a deliberate decision. What good data management actually covers Many membership organisations now offer self-service portals where members can update their own contact and payment details directly, and that is genuinely useful. When members engage with it, the CRM stays current without any manual intervention. The practical limitation is engagement. Members update their details when something prompts them to: a failed payment, a bounced communication, or a prompt at renewal. Between those moments, contact details drift. Validation and data cleansing work alongside a portal rather than instead of it. Validation at the point of update, whether a member is joining, renewing, or updating their details, catches errors as they enter the system. Address, email, and bank account validation each do a specific job: • Address validation confirms correspondence will reach the right location, checked against the current Royal Mail PAF data. • Email validation identifies inactive addresses before renewal notices go out. • Bank account validation confirms direct debit mandates are still valid before payment runs are processed. Data cleansing handles the records that validation at capture cannot reach: the existing database. A cleanse run against current address and contact databases identifies records that have drifted since joining, flags emails with persistent bounce history, and surfaces direct debit details that are no longer valid. Done ahead of a renewal cycle, it means communications go out to an accurate list rather than one that reflects the membership as it existed twelve or eighteen months ago. The organisations that manage this well are not necessarily the ones with the lowest lapse rates. But they are the ones that know, with confidence, which part of their lapse rate is real attrition and which part is recoverable, because their data tells the difference. Starting the conversation For most membership organisations, data quality sits in the gap between the membership team and the IT or CRM function. It is everybody's problem and nobody's priority, until a renewal cycle underperforms and the question of why becomes harder to answer. The most effective way to move the conversation forward is to quantify it: how much of your lapse rate is genuine attrition, and how much is invisible data failure that a bounced email, a failed direct debit, or an unverified record has been quietly hiding. Find out where your membership data stands Fetchify's validation tools cover address, email, and bank account data, helping membership organisations keep records current at the point of capture and across existing databases. Speak to the team or explore the tools below.
By Fiona Paton July 14, 2026
Fetchify has added Canada Post's address data to its datasets, bringing the same quality of address coverage to Canada that our customers already rely on for UK addresses. We talk to our customers a lot. And over time, a consistent theme emerged: businesses operating across multiple markets needed the same standard of address data in Canada that they relied on from Fetchify everywhere else. So, we did something about it. Fetchify has added Canada Post's address data to its datasets, giving our customers access to the most authoritative address coverage available in Canada. What the data covers This data is Canada Post's licensed address directory, covering over 14 million physical locations across Canada. Every address carries a unique, permanent code that maps to a specific physical location, making it the definitive reference point for Canadian address validation. Canadian addresses also follow a different structure to the UK, with alphanumeric postcodes rather than numeric, which is exactly the kind of variation that trips up validation built around a single country's format. Coming directly from Canada Post, which means it is maintained, authoritative, and consistent in a way that approximated or third-party alternatives simply are not. It is the definitive source, and that is what makes it worth using. Who does this matter for Canadian address quality is most critical for businesses that operate across multiple markets and need consistent data standards everywhere they trade. A global brand selling online in the UK, Europe, and North America cannot afford to have its Canadian address validation performing at a different standard to everywhere else; the delivery failures, the checkout friction, and the customer experience problems show up just the same. For businesses with significant Canadian order volumes, the difference between good and poor address data is measurable in: Checkout completion rates, where validation that fails to recognise a valid Canadian address creates friction or abandonment First-time delivery success, where address inconsistencies mean parcels miss their destination and generate redelivery costs Customer data quality, where addresses captured incorrectly at checkout accumulate in the CRM and compound over time These are the same problems that poor address data causes in any market. Canada simply had fewer options for solving them reliably. Accessing the gold standard for Canadian address data If Canada is part of your footprint, the case is a simple one. Royal Mail's PAF is the reason UK address validation works as well as it does; it's the definitive source, and nothing else really competes with it on that ground. Canada Post's data plays the same role for Canadian addresses. If you want that level of confidence on the Canada side of your business, too, this is how you get it, through the same integration your team already uses. Need access to this dataset today, or want more details? Reach out to your account manager or contact us at support@fetchify.com . 
Courier delivering a parcel and checking his phoe ne
By Fiona Paton June 25, 2026
What is PAF? The Postcode Address File (PAF®) is Royal Mail’s definitive database of every deliverable address and postcode in the UK. It covers over 32 million delivery points and is updated monthly. If your business relies on accurate address data, at checkout, in your CRM, or for deliveries, PAF is the source that keeps it current. June 2026 in numbers Royal Mail made 62,027 changes to PAF this month. That is not a small number. It represents new homes that need delivering to, businesses that have moved or closed, streets that have been renamed, and addresses that were simply wrong and have now been corrected. Every one of those changes is a record in someone’s database that may now be out of date, and a delivery, a campaign, or a customer communication that could go wrong if the data hasn’t been updated. Delivery point changes at a glance Here’s the full breakdown of what changed, amended, and was removed from PAF in June:
By Fiona Paton June 18, 2026
How data decay is quietly removing your best customers before they ever decide to leave. Somewhere in your CRM right now, there is a customer you think you lost. They stopped buying about eighteen months ago. They went into a lapsed segment, got a couple of reactivation emails, did not respond, and were eventually written off. The assumption was that they moved on. What actually happened, in a surprising number of cases, is much simpler. They moved house. The reactivation emails went to an inbox they no longer check. The direct mail went to a flat that has a different tenant. The customer was not gone. They were just unreachable. And because the database had no way of flagging the difference, they were counted as churn. This is how data decay works. Not in dramatic failures, but in a steady accumulation of records that have quietly stopped being accurate. Around 30% of customer data goes stale every year, not because anything went wrong, but because people move, change jobs, switch email addresses, or get married. Left unaddressed, that figure compounds. A database that has not been properly maintained for three years may have a third of its records either partially or wholly unreachable. The problem is that it is almost invisible until it is already significant. A handful of bounced emails does not raise an alarm. Neither does a slightly elevated returns rate. The metrics look broadly normal because the volume of bad data is not yet high enough to distort them. By the time it is, the damage is done. The churn you cannot account for Most businesses have a reasonable handle on the customers they actively lose. Cancellations are tracked. Lapsed accounts are flagged. Retention programmes exist precisely to address the customers who stop buying. What those programmes cannot reach is the customer who never formally left. They sit in the CRM as a lapsed record. They count toward the database size. They get included in reactivation segments. They cannot receive the communication because the address on their record is no longer valid. The downstream effect is real. A repeat customer whose address changed after a house move never receives the offer that would have brought them back. A lapsed member does not see the renewal reminder and lets the subscription quietly expire. In both cases, the organisation records an attrition event. In neither case did the customer actually decide to leave. A customer who moved house is not the same as a customer who left. That distinction tends to matter quite a lot when you are trying to work out where your retention budget should go. Why reactivation campaigns underperform When a win-back campaign comes back with poor results, the instinct is to interrogate the campaign. The subject line gets tested. The offer gets more aggressive. The timing gets adjusted. All of that is reasonable. None of it helps if a meaningful share of the list cannot receive the email in the first place. A lapsed customer segment typically contains three types of contact: people who genuinely disengaged and are unlikely to respond, regardless, people who might respond to the right message, and people who would respond, but the email never arrives because the address has changed. The frustrating thing is that you cannot easily tell these groups apart from the outside. Low open rates and low click-through rates look the same whether the cause is disengagement or data decay. Email is only part of it. Physical address decay affects direct mail and delivery. Phone number decay affects SMS and outbound calling. Each channel erodes at its own rate, and most organisations are not tracking the accuracy of their data across all of them. 30% of customer database records become inaccurate within 12 months, without any action by the customer. What changes when the data is clean A data cleanse does not just improve deliverability, though it does that. It changes what the numbers actually mean. When ghost records are removed from a lapsed segment, the remaining file is smaller but more meaningful. Reactivation revenue from that cleaned list is real revenue, not a percentage improvement calculated against contacts who were never going to respond. The churn figure, once recalculated without the unreachable records, is often more positive than expected. Some of what looked like permanent attrition turns out to be recoverable. There is a GDPR dimension too. Article 5(1)(d) requires that personal data be kept accurate and, where necessary, up to date. The ICO can issue fines of up to £17.5 million for data accuracy failures. Most organisations are not at serious risk of enforcement, but most organisations also have not checked how their database holds up against a standard they are legally required to meet. The more common consequence is commercial rather than regulatory. Marketing budgets applied to an inaccurate list simply do less than they should. The same spend, against a validated file, produces measurably better results. Not because the campaigns improved, but because the contacts can actually receive them. The practical starting point Addressing data decay does not require a significant IT project. For most organisations, the starting point is a cleanse of the existing CRM: matching records against current address databases, identifying email addresses with persistent bounce history, removing duplicates, and flagging phone numbers that are no longer in service. Done once, it resets the foundation. Done regularly, and combined with validation at the point of data capture, it prevents the drift from accumulating again. The customers in those unreachable records did not all decide to leave. Some of them are still out there, still buying in your category. They just moved. Improve your data health and protect your business today. Reach out to our team below for a free data health check.
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