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
• competitor-alternatives
• paid-ads
• social-content
• cold-email