The Alvo for Brokers benchmark dataset is drawn from fifteen years building and running client acquisition funnels for brokers at Domain Group and Domain Home Loans, the joint venture between Domain and Lendi Group (Aussie), working with lender partners including CBA, Westpac, ANZ, NAB and Macquarie Bank. Industry-side counterparties in the data are anonymised throughout. The data is not.
The dataset is refreshed annually and cross-referenced against the most recent twelve months of broker audits Alvo has run. It covers the full waterfall: CTR, Account Created, Contact, CP (Contact Progressing), STL, Unconditional, Settlement, plus the appointment-booking parallel.
We bring working familiarity with the aggregator landscape from LMG to Finsure, the MFAA data that benchmarks the industry, the standard broker tech stack and the operational reality of running a 10-50 broker brokerage. The recommendations are grounded in those constraints, not abstracted from them.
Recent work. A working growth-engine prototype for a Sydney residential and commercial brokerage, built as part of a growth diagnostic: a revenue radar across the existing client book, a funnel calculator benchmarked against Domain Home Loans conversion waterfalls, and designed nurture journeys, plus concept designs for document intake and compliance-note drafting.