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

# List Building - Custom Filters & Signals

> Use Custom Filters & Signals in Bitscale to go beyond preset enrichments. Stack hiring, tech stack, and product signals with AI logic to score accounts and target high-intent prospects.

### Overview

<iframe width="100%" style={{aspectRatio: "16/9"}} src="https://www.youtube.com/embed/YXAxj6BNyvY?si=uAbySzQ73frfNujs" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

While Bitscale provides a set of **preset signals and filters** to help you build your first lists, advanced outbound workflows often require **hyper-specific targeting**. As SDRs and GTM teams exhaust broader TAM lists, they need to identify **niche accounts and personas** using custom conditions.

Bitscale enables you to **stack enrichments, AI layers, and signals** to create these custom filters directly in your grids, allowing you to prioritize accounts with the highest buying intent.

***

### **When to Use**

* Your TAM is largely covered and you need more granular targeting.
* You want to identify **high-intent accounts** using multiple conditions.
* You need to validate specific traits (e.g., tech stack, hiring activity, product signals).
* You want to **score and segment accounts** into different outbound campaigns.

***

### **Step 1: Start with a Base List**

1. Use **Find Companies** to generate an ICP-aligned list.
   * Example filters:
     * Employee count: 200–500
     * Geography: United States
     * Industry: Software (optional)
2. Import results into a grid.
3. Expand by fetching additional rows (up to your search limits).

***

### **Step 2: Add Custom Intent Signals**

#### Example 1: Hiring SDRs

* Enrichment: **Active Jobs (Company-Level)**
* Prompt (AI Layer):

  > “Check whether @company\_name is hiring for sales roles.”
* Output Format: Boolean (`True/False`)

**Use Case:** Hiring SDRs signals growth and a need for enablement tools.

***

#### Example 2: Tech Stack Validation

* Enrichment: **BuiltWith** (Company URL → Tech Stack)
* Initialize technologies into a clean column.
* AI Layer Prompt:

  > “Check whether Salesforce or HubSpot is mentioned in the below list.”
* Output Format: Boolean (`True/False`)

**Use Case:** Prioritize accounts using CRMs that integrate well with your product.

***

#### Example 3: Product Feature Check

* Enrichment: **BitAgent** (Website Scrape)
* Prompt:

  > “Check whether @company\_website has a login feature.”
* Output Format: Boolean (`True/False`)

**Use Case:** Identify companies with SaaS/product platforms by validating if they support login functionality.

***

### **Step 3: Layer Filters Together**

Each custom filter acts as a **scoring layer**:

* Hiring SDRs = Growth Signal
* Uses Salesforce/HubSpot = Tech Fit
* Has Login Feature = Product-Led SaaS

Accounts meeting multiple conditions rise to the **top of the pecking order** for outbound campaigns.

***

### **Step 4: Prioritize & Segment**

* **High Intent Accounts**: Meet multiple signals (e.g., GitHub hiring sales roles + using Salesforce + SaaS login).
* **Medium Intent Accounts**: Match one or two conditions.
* **Low Intent Accounts**: Remain in the grid for future nurturing or broad campaigns.

***

### **Best Practices**

* Start broad, then chip away with layered filters.
* Use Boolean outputs (`True/False`) for clarity and easy run conditions.
* Combine **hiring**, **tech stack**, and **product validation** for strong intent scoring.
* Keep grids clean by adding validated signals as separate columns.
* Iterate — custom filters will evolve as your outbound strategy matures.

***

### **Summary**

Custom Filters and Signals in Bitscale let you go beyond preset enrichments to design **hyper-specific targeting workflows**. By combining hiring data, tech stack insights, product validation, and AI logic, you can create multi-layered account scoring systems and prioritize outreach where intent is highest.

For help designing advanced filters, reach out via the Bitscale support channel.