# SparkToro

Audience research platform that reveals what your target audience reads, watches, listens to, follows, and searches for — using clickstream data, Google search data, and public social profiles.

## Capabilities

| Integration | Available | Notes |
|-------------|-----------|-------|
| API | - | Not yet public (coming soon) |
| MCP | - | Not available |
| CLI | - | Not available |
| SDK | - | Not available |

SparkToro is primarily a web-based research tool. No public API, CLI, or SDK is currently available. Use the web interface at https://sparktoro.com for all queries.

## Authentication

- **Type**: Account login at https://sparktoro.com
- **Free tier**: 5 reports/month with limited results
- **Paid plans**: $50–$300/month with expanded results and exports

## Pricing Tiers

| Plan | Price | Reports/Month | Users | Result Depth |
|------|-------|---------------|-------|-------------|
| Free | $0 | 5 | 1 | Top 5–10 results |
| Personal | $50/mo | 50 | 1 | Top 50 results |
| Business | $150/mo | 500 | 10 | Top 150 results, contact data, AI advice |
| Agency | $300/mo | Unlimited | 100 | Top 300 results, full CSV export |

## What SparkToro Reveals

### Audience Behaviors
- **Websites** they visit and engage with
- **Podcasts** they listen to
- **YouTube channels** they watch
- **Subreddits** they participate in
- **Social accounts** they follow
- **Search keywords** they use on Google
- **AI prompt topics** they ask ChatGPT, Claude, Gemini

### Audience Demographics
- Gender, age ranges
- Job titles and roles
- Industries and skills
- Education levels
- Geographic distribution
- Interests and affinities

### Audience Characteristics
- Bio descriptions and self-identifiers
- Language patterns in posts and comments
- Preferred social networks and platforms
- E-commerce platforms they use

## Common Agent Operations

Since SparkToro has no API, these are the research workflows agents should guide users through.

### Audience Profile Research

Query SparkToro with phrases like:
- "People who follow @competitor" — reveals shared audience behaviors
- "People who visit competitor.com" — shows what else they consume
- "People who frequently talk about [topic]" — finds audience affinities
- "People whose bio contains [job title]" — profiles a role-based segment

### Finding Where Your ICP Spends Time

1. Search for your ICP by description, competitor followers, or website visitors
2. Extract: top websites visited, podcasts listened to, YouTube channels watched, subreddits
3. Use this to prioritize: guest podcast appearances, content partnerships, ad placements, community participation

### Discovering Content Topics

1. Search your audience segment
2. Review the "Search Keywords" tab — what they Google
3. Review the "AI Prompt Topics" tab — what they ask AI tools
4. Use these to inform content strategy and SEO keyword targeting

### Building Data-Backed Personas

1. Run 3–5 queries for different segments of your audience
2. Compare demographic breakdowns across segments
3. Note which behaviors and affinities are shared vs. unique per segment
4. Export data and build personas grounded in observed behavior, not assumptions

### Competitive Audience Analysis

1. Search "People who follow @competitor" or "People who visit competitor.com"
2. Compare against your own audience profile
3. Identify: channels they use that you don't, content they consume that you don't produce, influencers they follow that you haven't engaged

## Data Sources

SparkToro aggregates from three sources:
- **Clickstream data** — anonymized browsing behavior
- **Google search results** — search keyword patterns
- **Public social profiles** — bios, follows, engagement

## When to Use

- Identifying where your ICP spends time online (podcasts, YouTube, subreddits, websites)
- Finding influencers and social accounts your audience follows
- Discovering content topics and search keywords your audience cares about
- Building data-backed personas instead of assumption-based ones
- Planning podcast guest appearances, sponsorships, or content partnerships
- Understanding what your competitors' audience looks like
- Validating audience assumptions with behavioral data
- Discovering AI prompt topics your audience uses

## Limitations

- No public API — all research is done through the web interface
- Free tier limited to 5 reports/month with shallow results
- Data skews toward English-language, US-centric audiences
- Clickstream data may not capture all niche audiences
- Cannot track individual users — all data is aggregated and anonymized

## Relevant Skills

- customer-research
- content-strategy
- competitors
- ads
- social
- cold-email
