Weighted
Weighted lead distribution in Lead Distro AI — assign percentages per buyer (60/40, 50/30/20, etc.) so buyers with more capacity or higher prices get a larger share of leads.
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What is Weighted Distribution?
Weighted distribution lets you assign a percentage to each buyer in a campaign — Lead Distro AI then routes that share of leads to that buyer over time. A 60/40 split between Buyer A and Buyer B means A receives 60% of leads, B receives 40%, regardless of order.
It's the right method when buyers have different capacities (one buyer wants 100 leads/day, another wants 50) or when you want to deliberately favor higher-paying buyers without going full waterfall.
When to Use Weighted
- Capacity differences: Buyer A's intake team handles 100 leads/day; Buyer B's handles 40. Set 70/30 weighting so each buyer gets roughly the volume they can handle.
- Price-tilted distribution: Buyer A pays $80/lead and converts at 12%; Buyer B pays $60/lead. Set 65/35 so the higher-revenue buyer gets more share without starving the second buyer.
- Test rollout: You want to gradually shift volume to a new buyer. Start with 90/10, monitor return rate for a week, ramp to 80/20, then 50/50.
- Geo balancing: Two buyers cover overlapping states but one has stronger conversion in your strongest geo. Weight toward them in that campaign.
How to Configure
- Go to your Campaign and open Distribution settings.
- Set Distribution Method to Weighted.
- For each buyer attached to the campaign, set a Weight value (percentage).
- Weights must sum to 100 across all eligible buyers (Lead Distro AI auto-normalizes if they don't).
- Save — distribution starts using the new weights on the next ingested lead.
Example: 60/40 Weighting
| Buyer | Weight | Leads received per 100 |
|---|---|---|
| Buyer A | 60% | 60 |
| Buyer B | 40% | 40 |
| Total | 100% | 100 |
Example: 50/30/20 Weighting
| Buyer | Weight | Leads received per 100 |
|---|---|---|
| Buyer A (largest, highest payer) | 50% | 50 |
| Buyer B (mid-tier) | 30% | 30 |
| Buyer C (newest, testing) | 20% | 20 |
| Total | 100% | 100 |
How Weighted Handles Edge Cases
| Scenario | What Happens |
|---|---|
| Buyer hits daily cap mid-day | Buyer drops out of distribution. Remaining buyers' weights are renormalized to 100% so the share gap is rebalanced (e.g., 60/40 with B capped becomes A=100%). |
| Buyer is paused | Same as cap-hit — buyer drops out and remaining buyers' weights renormalize. |
| Buyer's filters reject the lead | Lead is routed to the next-weighted eligible buyer. Weights are re-evaluated per lead based on which buyers are eligible. |
| Weights don't sum to 100 | Lead Distro AI auto-normalizes proportionally — e.g., 70/30/30 (sum 130) becomes effective 54/23/23 (proportional to 70/30/30 within 100%). |
| New buyer added | Add the new buyer with a weight; existing weights stay the same and the new buyer's weight is added on top, then everything renormalizes if needed. |
Weighted enforces share over time, not strict order. The first 5 leads in a 60/40 split might go 3/2, 4/1, or even 5/0 — but over the next 100 leads the ratio converges to 60/40. If you need strict ordering (always Buyer A first, then B), use [Priority/Waterfall](/docs/distribution-priority) instead.
Frequently Asked Questions
What happens if my weights don't sum to 100?
Lead Distro AI auto-normalizes them proportionally. If you set 70/30/30 (sum 130), the effective distribution becomes 54/23/23 (each weight ÷ total × 100). The save will succeed and distribution will use the normalized values. You'll see the normalized percentages in the UI after save.
Can I change weights without losing distribution history?
Yes. Edit weights at any time and save — the new ratio applies to incoming leads immediately. Past distribution counts are not retroactively rebalanced (e.g., if you were 90/10 and switch to 50/50 after 100 leads, the count is 90/10 plus whatever the next batch lands on). For audit, the dashboard shows distribution per day so you can see the rebalance moment.
What if a weighted buyer hits its daily cap?
Buyer drops out of distribution and remaining buyers' weights are renormalized to 100% so the campaign keeps flowing. Example: 60/40 split, Buyer B hits cap — Buyer A now receives 100% of leads for the rest of the day. The cap resets at midnight in your account timezone, restoring the 60/40 split the next day.
Can a single buyer be weighted to 100%?
Yes, technically — but if a buyer is at 100% you don't need Weighted, just use a single-buyer Priority configuration. The use case for 100% is gradual onboarding: start a new campaign at 100% Buyer A, then add Buyer B at 10% (auto-normalizing to ~91/9) as you ramp.
Can I weight by revenue instead of by lead count?
Not directly — Weighted controls *lead count* share, not revenue share. If you want revenue-weighted distribution, calculate the implied lead-count weight from each buyer's price: e.g., Buyer A pays $80, Buyer B pays $40, and you want 2:1 revenue ratio — that's 1:1 lead count (each lead to A earns 2× B), so set 50/50. For pure revenue maximization with strict buyer ordering, use [Priority/Waterfall](/docs/distribution-priority).
How is Weighted different from Round Robin?
[Round Robin](/docs/distribution-round-robin) gives equal share to every buyer (50/50 with 2 buyers, 25/25/25/25 with 4). Weighted lets you set any percentages so distribution can be tilted — e.g., 70/30 between two buyers, or 40/30/20/10 across four. Round Robin is a degenerate case of Weighted (all weights equal), but configured separately because it doesn't require percentage management.
Related Articles
Round Robin
Round Robin lead distribution in Lead Distro AI — rotate leads equally across every eligible buyer. Best for fair distribution when buyers have similar capacity and pricing.
Priority (Waterfall)
Priority (Waterfall) lead distribution in Lead Distro AI — try the highest-priority buyer first, overflow to the next when caps fill or filters reject. Best for maximizing revenue from your top-paying buyer.
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