1. Quick postcode checks (15–30 minutes)
Start with a simple format check in your spreadsheet: trim, uppercase and remove extra spaces (example: =UPPER(SUBSTITUTE(TRIM(B2)," ",""))). For a stronger check use a postcode regex in Google Sheets: =REGEXMATCH(UPPER(TRIM(B2)), "^[A-Z]{1,2}[0-9][0-9A-Z]?\s?[0-9][A-Z]{2}$").
Where you can, run a batch lookup with a free postcode API (for example postcodes.io) to validate existence and get the canonical postcode spacing. Keep a column for API status: Valid / Not found / Ambiguous.
If a postcode fails: flag the row and don’t import it into live systems until resolved — a bad postcode is the most common reason deliveries and integrations fail.
2. Normalise, split and dedupe (one short checklist)
- Fields to keep/merge before import: House name/number, Street, Locality, Town/City, County (optional), Postcode (cleaned), Country, Address quality flag, Source/notes.
- Turn single-line addresses into columns if your systems need them: split on commas, then trim and rebuild where necessary. Prefer a primary street field and a secondary (building, flat) field.
- Normalise common abbreviations and casing with spreadsheet functions: =PROPER(TRIM(A2)) for readable casing; replace common abbreviations with SUBSTITUTE: =SUBSTITUTE(UPPER(A2),"RD","ROAD") etc. Keep a short reference list of 6–10 local abbreviations you see often.
- Create a cleaned address key to dedupe: combine house number, street and postcode (cleaned of spaces and punctuation). Example: =CONCAT(UPPER(TRIM(C2)) , "|" , REGEXREPLACE(UPPER(TRIM(D2)), "[^A-Z0-9]", ""), "|", UPPER(SUBSTITUTE(TRIM(B2)," ",""))). Use this key to find duplicates and group records for a manual check.
- For missing or ambiguous postcodes: try town + street lookup, but if uncertain mark as ‘Manual’ in your quality column and route to a named owner for a phone or email check.
3. Import test, address-quality flag and ownership (15–30 minutes)
Run a small test import (10–25 records) into HubSpot, Xero and your delivery platform first. Before importing, snapshot the current data (export a CSV) so you can roll back. Import only records marked Quality=Good; leave Quality=Check or Manual out of automated workflows.
Simple rollback routine: 1) export existing records that will be touched, 2) import test batch, 3) monitor for 24–48 hours (failed deliveries, sync errors, duplicated invoices), 4) if problems appear, use the snapshot to restore and reverse the last import. Keep the one-page rollback plan handy and assign a named owner for the drill.
Set an address_quality field with three values: Good, Check, Manual. Automations should only act on Good. Define who owns fixes (ops or fulfilment) and when to escalate: if a postcode API returns Not found, escalate to Manual; if two or more systems disagree on delivery address, escalate to a phone check.
If you want a short checklist or someone to run the first routine with you, Optira can help as a practical hand to get this working without heavy tooling.