How you distribute leads across your team determines conversion rates, broker satisfaction, and ultimately revenue. Get it wrong and your best leads go to your busiest brokers (who can't follow up fast enough) while junior brokers starve. Get it right and every lead gets the right broker at the right time.
1. Round-robin allocation
The simplest model: leads are distributed evenly across all active brokers in rotation. Fair, transparent, and easy to understand. Best for teams where all brokers have similar experience levels and capacity. Weakness: it doesn't account for broker specialisation (commercial vs residential) or current workload.
2. Claim-first (cherry-pick)
Leads enter a shared pool and brokers claim them on a first-come, first-served basis. This rewards speed and initiative but creates uneven distribution, your fastest brokers grab the best leads while slower or part-time brokers miss out. Works well for competitive teams but can breed resentment.
3. Tiered P1-P5 allocation
Leads are scored and allocated based on a tiered priority system. P1 (highest value) leads go to top-performing brokers, P3 leads go to mid-tier, and P5 (lowest likelihood) go to junior brokers for development. This maximises conversion on high-value leads while giving junior brokers real pipeline. It requires reliable lead scoring to work, garbage scoring produces garbage allocation.
4. Geographic allocation
Leads are routed by postcode or state to brokers with local market expertise. Ideal for brokerages operating across multiple regions where local knowledge (valuations, local lenders, market conditions) gives a conversion edge.
5. Hybrid: scored + capped
The most sophisticated model combines AI scoring with capacity caps. Each broker has a maximum active lead count; new leads are allocated to the best-suited available broker whose pipeline isn't full. This prevents overload, matches specialisation, and ensures no leads sit uncontacted. It's the model high-performing brokerages are moving to in 2026.
Frequently asked questions
Which lead allocation model is best for a small brokerage?
How does AI scoring improve lead allocation?
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