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| b902ed2d79 |
@@ -121,17 +121,18 @@ Choose sources based on your ICP type — then read `references/source-guides.md
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| ICP Type | Primary Sources |
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|----------|----------------|
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| B2B SaaS / technical buyers | Reddit (role-specific subs), G2/Capterra, Hacker News, LinkedIn, Indie Hackers |
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| SMB / founders | Reddit (r/entrepreneur, r/smallbusiness), Indie Hackers, Product Hunt, Facebook Groups |
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| B2B SaaS / technical buyers | Reddit (role-specific subs), G2/Capterra, Hacker News, LinkedIn, Indie Hackers, SparkToro |
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| SMB / founders | Reddit (r/entrepreneur, r/smallbusiness), Indie Hackers, Product Hunt, Facebook Groups, SparkToro |
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| Developer / DevOps | r/devops, r/programming, Hacker News, Stack Overflow, Discord servers |
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| B2C / consumer | App store reviews (1-3 star), Reddit hobby/lifestyle subs, YouTube comments, TikTok/Instagram comments |
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| Enterprise | LinkedIn, industry analyst reports, G2 Enterprise filter, job postings |
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| Enterprise | LinkedIn, industry analyst reports, G2 Enterprise filter, job postings, SparkToro |
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**Quick decision guide:**
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- Have a product category? → Start with G2/Capterra reviews (yours + competitors)
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- Need to know where your audience spends time? → SparkToro (reveals podcasts, YouTube, subreddits, websites, social accounts)
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- Need raw language? → Reddit and YouTube comments
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- Need trigger events? → LinkedIn posts, job postings, Hacker News "Ask HN" threads
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- Need competitive intel? → Competitor 4-star reviews on G2; Product Hunt discussions
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- Need competitive intel? → Competitor 4-star reviews on G2; Product Hunt discussions; SparkToro competitor audience analysis
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### What to Extract from Each Source
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@@ -282,6 +282,61 @@ Comments on review videos are especially valuable — these are people actively
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---
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## SparkToro (Audience Intelligence)
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SparkToro is a behavioral audience research tool. Instead of mining individual posts and comments, it aggregates clickstream, search, and social data to show what your audience does at scale — what they read, watch, listen to, follow, and search for.
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### When to Use SparkToro vs. Manual Research
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- **SparkToro first** when you need to understand where your ICP spends time, what content they consume, and which influencers they follow — it answers these questions in seconds with aggregated data
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- **Manual research first** (Reddit, G2, communities) when you need raw language, exact quotes, emotional context, and the "why" behind behavior
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- **Best together**: Use SparkToro to identify which podcasts, subreddits, and websites matter, then go mine those sources manually for voice-of-customer language
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### Key Queries to Run
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**By competitor:**
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- "People who follow @competitor" — reveals shared audience affinities
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- "People who visit competitor.com" — shows what else they consume
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**By audience description:**
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- "People who frequently talk about [topic]" — finds audience behaviors
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- "People whose bio contains [job title]" — profiles a role-based segment
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**By your own audience:**
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- "People who visit yourdomain.com" — understand your actual audience
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- Compare against competitor audience profiles to find gaps
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### What to Extract
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| Data Type | What It Tells You | Use It For |
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|-----------|------------------|------------|
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| Top websites visited | Where your audience reads | Content partnerships, guest posting targets |
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| Top podcasts | What they listen to | Podcast guesting, sponsorship decisions |
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| Top YouTube channels | What they watch | Video content strategy, ad placements |
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| Top subreddits | Where they discuss | Community participation, Reddit ad targeting |
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| Search keywords | What they Google | SEO and content topic planning |
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| AI prompt topics | What they ask AI tools | Emerging content opportunities |
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| Social accounts followed | Who influences them | Influencer partnerships, co-marketing |
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| Demographics | Who they are | Persona building, ad targeting |
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### Source Weighting
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SparkToro data is aggregated and anonymized — it shows patterns, not individual opinions. Treat it as:
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- **High confidence** for behavioral data (what they visit, follow, search for)
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- **Medium confidence** for demographic data (self-reported, may be incomplete)
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- **Not a substitute** for qualitative research (doesn't capture language, emotions, or the "why")
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### Limitations
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- Free tier: 5 reports/month, shallow results (top 5–10)
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- No public API — all research done through web interface
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- Skews English-language, US-centric
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- Shows what audiences do, not why — pair with qualitative sources
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See [tools/integrations/sparktoro.md](../../../tools/integrations/sparktoro.md) for full tool details and pricing.
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---
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## Organizing Your Research
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Use a simple tagging system across all sources:
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@@ -319,6 +374,7 @@ Not all sources carry equal weight. Use this guide when assigning confidence lab
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| Survey (multiple choice) | Low-medium | Artifacts of the options you provided |
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| NPS verbatims | Medium | Correlates with score; prompted by the survey moment |
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| YouTube/TikTok comments | Medium | Skews toward engaged viewers; social performance |
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| SparkToro audience data | Medium-high | Aggregated behavioral data; strong for "what" but not "why" |
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| Job postings | Low-medium | Aspirational, not necessarily reflective of current pain |
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### Confidence Labels in Practice
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@@ -74,6 +74,7 @@ Quick reference for AI agents to discover tool capabilities and integration meth
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| pendo | Product Analytics | ✓ | - | [✓](clis/pendo.js) | - | [pendo.md](integrations/pendo.md) |
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| similarweb | Competitive Intelligence | ✓ | - | [✓](clis/similarweb.js) | - | [similarweb.md](integrations/similarweb.md) |
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| firehose | Competitive Intelligence | ✓ | - | - | - | [firehose.md](integrations/firehose.md) |
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| sparktoro | Audience Research | - | - | - | - | [sparktoro.md](integrations/sparktoro.md) |
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| airops | AI Content | ✓ | - | [✓](clis/airops.js) | - | [airops.md](integrations/airops.md) |
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| buffer | Social | ✓ | - | [✓](clis/buffer.js) | - | [buffer.md](integrations/buffer.md) |
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| wistia | Video | ✓ | - | [✓](clis/wistia.js) | - | [wistia.md](integrations/wistia.md) |
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@@ -340,6 +341,16 @@ Traffic analytics, competitor benchmarking, and market research.
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**Agent recommendation**: Similarweb for competitor traffic analysis and market benchmarking.
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### Audience Research
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Audience intelligence and behavioral research tools.
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| Tool | Best For | Notes |
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|------|----------|-------|
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| **sparktoro** | Audience affinities, behavioral data | Clickstream + social data |
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**Agent recommendation**: SparkToro for discovering where your ICP spends time — what they read, watch, listen to, follow, and search for. Essential for customer research, content strategy, and media buying decisions.
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### AI Content
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AI-powered content generation and optimization platforms.
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@@ -0,0 +1,127 @@
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# SparkToro
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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.
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## Capabilities
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| Integration | Available | Notes |
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|-------------|-----------|-------|
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| API | - | Not yet public (coming soon) |
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| MCP | - | Not available |
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| CLI | - | Not available |
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| SDK | - | Not available |
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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.
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## Authentication
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- **Type**: Account login at https://sparktoro.com
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- **Free tier**: 5 reports/month with limited results
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- **Paid plans**: $50–$300/month with expanded results and exports
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## Pricing Tiers
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| Plan | Price | Reports/Month | Users | Result Depth |
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|------|-------|---------------|-------|-------------|
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| Free | $0 | 5 | 1 | Top 5–10 results |
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| Personal | $50/mo | 50 | 1 | Top 50 results |
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| Business | $150/mo | 500 | 10 | Top 150 results, contact data, AI advice |
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| Agency | $300/mo | Unlimited | 100 | Top 300 results, full CSV export |
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## What SparkToro Reveals
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### Audience Behaviors
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- **Websites** they visit and engage with
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- **Podcasts** they listen to
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- **YouTube channels** they watch
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- **Subreddits** they participate in
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- **Social accounts** they follow
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- **Search keywords** they use on Google
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- **AI prompt topics** they ask ChatGPT, Claude, Gemini
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### Audience Demographics
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- Gender, age ranges
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- Job titles and roles
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- Industries and skills
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- Education levels
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- Geographic distribution
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- Interests and affinities
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### Audience Characteristics
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- Bio descriptions and self-identifiers
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- Language patterns in posts and comments
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- Preferred social networks and platforms
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- E-commerce platforms they use
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## Common Agent Operations
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Since SparkToro has no API, these are the research workflows agents should guide users through.
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### Audience Profile Research
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Query SparkToro with phrases like:
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- "People who follow @competitor" — reveals shared audience behaviors
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- "People who visit competitor.com" — shows what else they consume
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- "People who frequently talk about [topic]" — finds audience affinities
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- "People whose bio contains [job title]" — profiles a role-based segment
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### Finding Where Your ICP Spends Time
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1. Search for your ICP by description, competitor followers, or website visitors
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2. Extract: top websites visited, podcasts listened to, YouTube channels watched, subreddits
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3. Use this to prioritize: guest podcast appearances, content partnerships, ad placements, community participation
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### Discovering Content Topics
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1. Search your audience segment
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2. Review the "Search Keywords" tab — what they Google
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3. Review the "AI Prompt Topics" tab — what they ask AI tools
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4. Use these to inform content strategy and SEO keyword targeting
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### Building Data-Backed Personas
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1. Run 3–5 queries for different segments of your audience
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2. Compare demographic breakdowns across segments
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3. Note which behaviors and affinities are shared vs. unique per segment
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4. Export data and build personas grounded in observed behavior, not assumptions
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### Competitive Audience Analysis
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1. Search "People who follow @competitor" or "People who visit competitor.com"
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2. Compare against your own audience profile
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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
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## Data Sources
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SparkToro aggregates from three sources:
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- **Clickstream data** — anonymized browsing behavior
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- **Google search results** — search keyword patterns
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- **Public social profiles** — bios, follows, engagement
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## When to Use
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- Identifying where your ICP spends time online (podcasts, YouTube, subreddits, websites)
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- Finding influencers and social accounts your audience follows
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- Discovering content topics and search keywords your audience cares about
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- Building data-backed personas instead of assumption-based ones
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- Planning podcast guest appearances, sponsorships, or content partnerships
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- Understanding what your competitors' audience looks like
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- Validating audience assumptions with behavioral data
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- Discovering AI prompt topics your audience uses
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## Limitations
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- No public API — all research is done through the web interface
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- Free tier limited to 5 reports/month with shallow results
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- Data skews toward English-language, US-centric audiences
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- Clickstream data may not capture all niche audiences
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- Cannot track individual users — all data is aggregated and anonymized
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## Relevant Skills
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- customer-research
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- content-strategy
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- competitor-alternatives
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- paid-ads
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- social-content
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- cold-email
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