Duplicate rate
A basic health measure that affects every report and campaign.
Most brokerage CRMs carry years of history: imports from old systems, leads from sources long since cancelled, agents who left, contacts tagged fifteen different ways. Some people appear three times. Past clients from 2019 have no stage at all. Agents stop using the CRM because they cannot find anything, and managers stop believing the reports it produces.
A CRM cleanup sets simple standards and then applies them. We would agree stages, tags, sources and required fields, merge duplicates, archive dead records, and identify past clients and sphere contacts who deserve regular touches. Then we fix the inputs so new data stays clean. Agents keep ownership of their contacts under your brokerage policy.
With the broker and team leaders, define a short list of stages, lead types, sources and tags, plus the few fields every record must have.
Duplicates are merged with history preserved, bounced and long-dead leads are archived, and orphaned records from departed agents are reviewed under your policy.
Past clients and sphere contacts are tagged with closing dates and addresses so home anniversaries and market updates can go out reliably.
Lead source integrations, forms and import habits are corrected so new records arrive with the right source, stage and assigned agent.
A monthly hygiene report lists duplicates, records missing stages and stale active leads, and a named person is responsible for fixing them.
How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
A basic health measure that affects every report and campaign.
Reports are only as reliable as these two fields.
The real business value of a clean database.
Shows whether agents trust the CRM enough to use it.
For example, a 60-agent brokerage finds its CRM holds 41,000 contacts. After agreeing standards, about 6,000 duplicates are merged, 12,000 dead leads are archived, and 1,800 past clients are identified, 700 of whom belonged to agents who have left. The broker decides those past clients get a brokerage newsletter and a call from an assigned agent. The counts are illustrative; your database will differ.
We would export your CRM, measure duplicates, missing stages and sources, and count past clients and orphaned records. With the broker and team leaders we agree standards, then clean one segment, such as past clients, as a pilot before touching the full database.
Sometimes, but migrating dirty data into a new CRM just moves the mess. Cleaning first makes any later switch cheaper and safer. We would compare your current CRM against alternatives only if it truly cannot support how your agents work.
For a mid-size brokerage, the standards and bulk cleanup usually fit within the first 30 to 45 days, with input fixes and hygiene routines after that. The longer job is changing habits, which is why adoption is part of the 90 days.
AI can help spot likely duplicates that exact-match rules miss, such as nicknames or a changed email address. A person still reviews uncertain matches. Bulk merging without review risks combining two different people, which is hard to undo.
Illustrative defaults for a real estate brokerage. Replace them with your numbers.
a month in staff time, before any lost sales
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
CRM setup and cleanup: full guide
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.