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    Aussie Plumbing — ad spend scaled 1.8× with enquiries up 2.1×, so each enquiry cost lessI-ELEC — a 231-page electrician website for Inner SydneyWhat a plumbing lead costs on Google AdsWhat a lead costs on Google Ads, industry by industrySLS Solicitors — cost per recorded Google Ads conversion down 58.48%Wilco Plumbing — a drains-first website, Sydney and NewcastleHow much should a trade business spend on marketing?State Choice Plumbing — a drains, hot water and gas websiteAussie Drains — a 600-page drain website for SydneyWhat an electrician lead costs on Google AdsAussie Electrical — a 650-page electrical website for SydneyThe most efficient ways for a trade business to get leadsEOL Melbourne — click-to-enquiry rate up from 28% to 33.4%What a cleaning lead costs on Google AdsAlliance Plumbing — ad spend scaled 1.8× with enquiries up 2.1×, so each enquiry cost lessImpress Blinds — cost per recorded Google Ads conversion down 62.63%FixCare Property — cost per enquiry down 56.36%Rubbish Removal WA — cost per enquiry down 53.18%Floral Cakery — cost per enquiry down 49.82%ILLUMINATE Laser Emporium — cost per enquiry down 48.54%Sydney Fence Painting — cost per enquiry down 33.68%Alliance Plumbing — cost per enquiry down 29.6%Gridless Build Solutions — cost per enquiry down 29.16%FacilityWorx — cost per enquiry down 23.62%Cornerstone Roofing — cost per enquiry down 20.47%Council finance — budgeting and workforce designCouncil planning — clearer approvals and reportingCultural audiences — media strategy and creative conceptsCommunity participation — surveys, maps and project pagesPublic-sector research — survey design and analysisPublic art — site studies and visual conceptsRegional identity — visitor guides and wayfinding conceptsCouncil systems — integration and migration planningA pressure washing business — service-led search campaignsA pressure washing business — a clear enquiry journeyA carpet cleaner — Google Ads built around cleaning servicesA roofing company — campaigns for repairs and restorationA CCTV installer — campaigns for security enquiriesA fence painter — search campaigns for specific surfacesA maintenance business — live in 8 weeks, 3 stacks gone5.0 across every Google review$120M+ in media under management250+ active engagements across five countries
    Small Business

    CRM hygiene: why dirty data kills good leads

    Customer data becomes useful when the team can trust who the record describes, what has happened and what needs to happen next. Fix the causes of duplicate, incomplete or contradictory records as well as the records themselves. Assign ownership so the same problems do not return after a cleanup.

    • 28 September 2024
    • Updated 24 September 2026
    • 4 min read

    Find the operational cause behind the messy record

    Review a few examples with the people who create and use the information.

    Duplicate contacts
    Check where records originate and how staff decide whether a person already exists. Merge only after confirming identity and preserving the history the business needs.
    Conflicting status
    Agree the meaning of each status and the event that changes it. A person can have several jobs or requests, so avoid forcing every conversation into one ambiguous label.
    Missing next action
    Identify who is responsible and what they need to do. A clean name and phone number will not prevent a missed follow-up if the handover is still unclear.

    Correct the workflow that produced the error, then check whether the correction holds.

    A customer record should help the next person do useful work. If staff cannot tell who the contact is, what has been agreed or who should respond, a tidy-looking list still leaves the business exposed to missed handovers. Start with the work the record needs to support.

    Find the task that breaks down

    Ask the team for examples of work that becomes difficult because the record is unreliable. Perhaps two people contact the same customer, a quote cannot be found or a completed job still appears to need a follow-up. Use specific examples rather than labelling the whole system messy.

    Choose one recurring problem to investigate first. Identify who creates the information, who changes it and who relies on it. This makes the review manageable and helps distinguish an incorrect record from a confusing process that produces incorrect records repeatedly.

    Confirm identity before merging

    Duplicate-looking records may represent the same person, different people in one household or several contacts at one business. Check identity and context before combining them. A merge that removes useful distinctions can create a different problem from the one it was meant to solve.

    Preserve the history and preferences the business needs, and use an appropriate backup or recovery plan before significant changes. Where the records contain personal or sensitive information, involve the responsible people in decisions about access, use and retention. Avoid moving the entire list into an unfamiliar tool merely to perform a quick cleanup.

    Make statuses mean something

    Write a short definition for each status and the event that changes it. Labels such as active, pending or complete can mean different things to different staff. A useful definition tells someone what has happened and what action is still required.

    Separate a contact from an individual job or request where the work requires that distinction. One customer can have a completed service and a new enquiry at the same time. The record should help the team understand those parallel conversations instead of overwriting one with the other.

    Put an owner beside the next action

    A phone number and email address are not a follow-up plan. Record the responsible person or role, the next action and any commitment made to the customer. Make it clear how the task is handed over when someone is away.

    Test the record with a colleague who was not part of the original conversation. Can they understand what to do without guessing or searching through unrelated notes? Their questions often reveal which fields or instructions need to change.

    Keep the repair from becoming a one-off

    Correct the point where the problem begins: a form, an import, an unclear instruction or a handover that never assigns ownership. Agree who maintains the definitions and who checks exceptions. Give staff a way to report an ambiguous case rather than inventing another label.

    Review a small sample of current work after the change. Check whether the original task is now easier to complete and whether a new problem has appeared. The value of a cleanup is the reliable work it enables, not simply the number of records edited.

    Questions and answers

    Where should we start with a large messy list?

    Start with records used in current customer work and the most disruptive recurring problem. A focused repair with a clear owner is easier to validate than changing every field at once.

    How should we judge whether a cleanup helped?

    Check whether staff can complete the intended tasks with fewer unresolved records or manual searches. Use operational evidence rather than the number of rows changed as the sole measure.

    Find the data problem behind a missed handover

    Bring an anonymised example and the workflow around it. We can review where the record becomes unreliable and what to change.

    Try the calculation with your own figures: the same figure, on your own numbers.

    Review my customer-data process
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