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

# Market insights

> Understand how your search compares to what is available in the market.

Market insights help you understand how your search (as a candidate or employer) aligns with what is actually available in the market.

They do **not** change your matches directly. They give you context so you can adjust your intent, constraints, or expectations.

Market insights are delivered periodically when there is a significant change in conditions that impacts you based on your updated instructions or market conditions.

## What are market insights?

Market insights are aggregated signals derived from:

* The roles and candidates currently active on NoSocial.
* How similar searches have performed over time.
* The feedback loop between candidates and employers.

They answer questions like:

* “Is my search too narrow or too broad?”
* “How realistic are my constraints vs what’s available?”
* “Where is the market dense vs thin for my intent?”

No individual user’s data is exposed; insights are always shown in aggregate.

## When do insights matter?

You should pay attention to market insights when:

* You get **very few or no matches** for a search.
* You see **many matches but low mutual interest** (low approval / reply rates).
* You are considering **tight constraints** (e.g. salary, location, seniority, niche skills).
* You want to **test alternative scenarios** without rewriting everything.

***

## How to use market insights as a candidate

Use insights to tune your search so you are discoverable where the market is actually active.

Typical adjustments:

1. **Location and flexibility**
   * Check if there is enough demand in your target geography.
   * If insights indicate limited roles locally, consider:
     * Expanding to nearby regions.
     * Allowing remote / hybrid where acceptable.
2. **Seniority and scope**
   * If most roles are one level above/below your target, decide:
     * Whether you’re willing to stretch up (more responsibility).
     * Or step sideways/down to enter a new domain.
3. **Compensation expectations**
   * If your stated range is significantly above what’s common in similar searches, you can:
     * Narrow to employers who explicitly support that range.
     * Or adjust expectations to increase match volume.
4. **Intent clarity**
   * If insights show that many similar candidates exist but conversions are low, your instructions may be too vague.
   * Make your **“non-negotiables”** and **“nice-to-haves”** explicit so the system can separate signal from noise.

***

## How to use market insights as an employer

Use insights to make sure your role is structured and described in a way that can actually be filled.

Typical adjustments:

1. **Search radius and work setup**
   * If insights indicate very few candidates within your current location constraints:
     * Consider expanding to a wider area.
     * Re-evaluate whether fully on-site is truly required.
2. **Role profile vs market reality**
   * If the market is dense for adjacent roles but thin for your exact combination:
     * Decide what can be relaxed (tech stack, domain, years of experience).
     * Clarify what is truly critical vs “wishlist”.
3. **Compensation and level**
   * Use insights to see if your compensation band sits well below where similar candidates cluster.
   * Either:
     * Adjust the band, or
     * Narrow the role to a different level (e.g. mid vs senior) that matches your budget.
4. **Instructions for your AI agent**
   * If approvals are low despite available candidates:
     * Your instructions may be over-constraining or ambiguous.
     * Highlight:
       * Deal-breakers.
       * Context about team, product, and growth trajectory.
       * What historically worked / did not work in similar hires.

## Limitations

* Insights are based on **NoSocial’s current data**, not the entire global job market.
* For very narrow or new searches, insights may be limited until enough activity exists.
* They are directional guidance, not guarantees of outcome.