> ## Documentation Index
> Fetch the complete documentation index at: https://docs.uservox.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Lead Queue Prioritization

> How different queue strategies decide which lead gets called next

## Why Queue Prioritization Matters

When many leads are waiting for calls, the system needs a clear rule for **who gets called next**.

This guide explains three queue strategies that control call order:

* **Default Attempt Priority** – Call leads in a simple waiting line.
* **Attempt Priority** – Always try brand-new leads first.
* **Last Attempted Priority** – Finish active leads quickly so they close faster.

Each strategy creates a different experience for how quickly different types of leads are contacted.

### Mixing strategies with percentages

You dont have to pick only one strategy. For each process, you can **mix and match** these three strategies by setting what **share of calls (%)** should use each one.

* The shares for the three strategies must always **add up to 100%**.
* For example, you might run **80%** of calls using the first-attempt strategy and **20%** using the default attempt order, with **0%** for lead-closure priority.

The screenshot below shows how this configuration looks in the app:

<img src="https://mintlify.s3.us-west-1.amazonaws.com/uservox/images/Screenshot%20from%202026-02-02%2011-59-37.png" alt="Queue sorting priority configuration" />

***

## 1. Default Attempt Priority

**Idea:** Treat the queue like a normal waiting line.

Every time a lead becomes ready for an attempt, it is placed at the **back of the queue**. Agents then call leads **from front to back**.

* Leads generally move in the order they arrive or become due.
* There is **no special preference** for first vs later attempts.

### How it feels in practice

Imagine people standing in a single line at a counter. Whoever is at the front gets served next.

* A new lead becomes ready → it joins the **end** of the line.
* When an attempt finishes and the next attempt is due, that attempt goes to the **end** as well.

### Visual

<img src="https://mintlify.s3.us-west-1.amazonaws.com/uservox/images/Default%20Attempt%20Priority.png" alt="Default Attempt Priority" />

This diagram shows a simple, one-dimensional queue. Leads move forward as attempts are made.

***

## 2. Attempt Priority (First Attempts First)

**Idea:** **New leads get top priority.**

First attempts are treated as **more important** than any later attempt (2nd, 3rd, etc.).

* If a new lead enters the system, its **first attempt jumps ahead** of older leads that are waiting for follow-up attempts.
* Among all first attempts, we still respect when they arrived.

### How it feels in practice

Think of the queue as having two lanes:

* **Fast lane:** Leads on their **first attempt**.
* **Normal lane:** Leads on their **2nd, 3rd, or later attempts**.

The system always pulls from the **fast lane first**.

This means:

* Brand-new leads are called **very quickly**.
* Older leads still get follow-ups, but **only after** new first-attempt leads have been tried.

### When to use this

This strategy is useful when your top priority is to **respond to new inquiries as fast as possible**, even if some older leads wait longer between attempts.

### Visual

<img src="https://mintlify.s3.us-west-1.amazonaws.com/uservox/images/Last%20Attempted%20Priority.png" alt="Last Attempted Priority" />

This diagram shows how new leads (first attempts) sit in a high-priority lane ahead of later attempts.

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## 3. Last Attempted Priority (Lead Closure)

**Idea:** Once you start working on a lead, **finish it quickly**.

Leads that were **attempted recently** are given higher priority for their **next attempt**.

* If a lead was just called, its next attempt is scheduled **sooner in the queue**.
* New leads may wait a bit longer if another lead is in the middle of a fast sequence of attempts.

### How it feels in practice

Imagine each lead as a short “story” you want to finish:

* When you touch a lead (make an attempt), the system tries to **complete the story** quickly by scheduling the next attempt soon.
* This creates short bursts of activity on the same lead until it is **clearly closed** (converted, disqualified, or completed).

### Why this helps

* Reduces the number of **half-finished leads** stuck in the middle of a sequence.
* Moves more leads to a clear outcome faster.
* Useful when you care about **closure speed** and don’t mind if some brand-new leads wait slightly longer.

### Visual

<img src="https://mintlify.s3.us-west-1.amazonaws.com/uservox/images/Attempt%20Priority.png" alt="Attempt Priority" />

This diagram shows leads that were just attempted getting pulled forward again, so they are closed out faster.

***

## Process prioritization with channel weights

On the same screen, below the queue sorting priority, you can also **prioritize processes** using *Process Channel Weights*. This controls how your calling capacity is distributed across different processes or campaigns.

* Each row represents a process or channel.
* The **Weight (1-20)** value sets how important that process is relative to others.
* Higher weights receive a **larger share of calls** over time.

This lets you decide not just **how calls are ordered within a process** (via the three queue strategies), but also **how calls are divided across processes** based on your current business priorities.

***

## Choosing the Right Strategy

Here is a quick way to think about which strategy to use:

* **Default Attempt Priority**
  * Best when you want a **simple and fair** queue.
  * Everyone moves forward in roughly the order they arrive or become due.

* **Attempt Priority**
  * Best when **speed-to-first-contact** is your main goal.
  * New leads are always tried before follow-ups on older leads.

* **Last Attempted Priority**
  * Best when you want to **close leads quickly** once you start working on them.
  * Recently attempted leads are pushed forward to get a clear outcome.

You can choose the strategy that best matches your sales or outreach goals, and adjust it as your process evolves.
