How it works
Use MentionFox to run social listening campaigns across Reddit, X, LinkedIn, Quora, HackerNews, forums, news sites, podcasts, review platforms, TikTok, YouTube, Substack, and Medium to identify companies, founders, and decision-makers discussing problems your product solves. When you send personalized outreach emails—each one manually reviewed and sent via click-to-send—capture events in PostHog that tag the recipient's domain, campaign ID, and prospect segment. This allows you to track whether prospects who receive MentionFox-sourced outreach later visit your website, sign up for trials, or engage with specific product features, creating a closed-loop view of your intelligence-driven GTM pipeline.
MentionFox's investor research module accesses a database of 52,000 investors. Run targeted queries to identify VCs, angels, and corporate investors relevant to your market. Log these research sessions as events in PostHog (for example, 'investor_research_completed', 'investor_profile_viewed', 'outreach_email_sent_to_investor'). When those investors or their portfolio companies later visit your site or log in to your product, PostHog will record their engagement. Over time, you'll see which investor segments or geographies correlate with higher conversion rates or feature adoption, informing your future research and outreach strategy.
MentionFox enriches prospect records with company data, social profiles, and funding history. Each time you enrich a lead or vet a candidate for outreach, send an event to PostHog that includes enrichment metadata (company size, industry, recent funding, etc.). Use PostHog's event segmentation to understand which enriched prospect profiles correlate with higher product activation rates or faster sales cycles. For instance, if funded startups in fintech consistently show stronger feature adoption than bootstrapped companies, you can refine your outreach targeting and prioritize resources accordingly.
What you can do
B2B SaaS Sales Team Using MentionFox for Lead Discovery
Your sales team uses MentionFox's social listening to find companies discussing pain points your platform addresses. They identify 200 relevant prospects across LinkedIn, Twitter, and industry forums, enrich each profile with company data and funding information, and send personalized outreach emails—each preview-checked and manually sent. You integrate MentionFox with PostHog by logging a 'prospect_sourced' event for each email that includes prospect_id, company_segment, and discovery_source. When prospects click your email links and arrive at your website, PostHog records their session and product interactions. Two weeks later, you analyze the PostHog dashboard and see that prospects from Series B companies show 3x higher trial signup rates than bootstrapped founders. This insight lets you reallocate MentionFox research focus and investor research queries toward better-fit segments.
Startup Founder Validating AI Visibility and Market Positioning
You're a founder launching a product and want to understand how often your solution, company name, and competitors are discussed across social platforms and news. MentionFox's AI-Visibility measurement tracks these conversations and measures recommendation rates across multiple AI systems (AI assistants, AI assistants, AI assistants, AI assistants, AI assistants, AI assistants). You send an event to PostHog each time you check visibility metrics—'ai_visibility_checked', 'competitor_mention_analyzed'—so you can correlate visibility trends with your own product milestones. When you release a new feature and visibility spikes, PostHog shows you that your website traffic and free-tier signups also increase. This validates that earned media visibility and social listening insights drive product adoption.
Enterprise Account Management Using Investor Intelligence
Your customer success team manages enterprise accounts and wants to identify investment opportunities or leadership changes at key accounts. You run MentionFox investor research queries to find funding news, new board members, or portfolio changes at your top 20 accounts. Log these research events in PostHog (e.g., 'account_investor_research_run', 'funding_announcement_detected'). When you find that a customer just raised Series C, your sales team crafts an expansion outreach email—reviewed and sent via MentionFox's click-to-send—mentioning the funding as context. PostHog tracks whether that personalized, intelligence-backed email drives higher engagement (demo bookings, feature exploration, expansion conversations) compared to generic outreach. Over six months, you build a dataset showing that intelligence-informed outreach to funded companies drives 5x more expansion opportunities.
How to connect
- Step 1: Define MentionFox Events to Track in PostHog. Identify which MentionFox activities should flow into your product analytics. Common events include: 'mention_campaign_created' (with campaign_name, platform_count, mention_threshold), 'prospect_sourced' (with prospect_id, company_name, discovery_platform, segment), 'outreach_email_sent' (with recipient_domain, campaign_id, email_template_type), 'prospect_enriched' (with prospect_id, enrichment_fields, company_funding_stage), 'investor_research_query_run' (with query_type, investor_count_found, investor_database_hit), 'visibility_metric_checked' (with metric_type, benchmark_date, visibility_score). Document which events matter most for your go-to-market reporting.
- Step 2: Use PostHog's API to Capture Events from MentionFox Workflows. PostHog provides a REST API endpoint for event capture. In your MentionFox workflow—whether through a browser extension, direct outreach, or research session—trigger HTTP POST requests to PostHog's API whenever key actions occur. For example, after you manually review and click-to-send an outreach email in MentionFox, include a snippet or webhook that POSTs an event payload like: { 'event': 'outreach_email_sent', 'properties': { 'recipient_domain': 'acme.com', 'campaign_id': 'mention_fox_q2_2026', 'email_template': 'personalized_ai_draft', 'timestamp': '[ISO 8601]' } }. Include your PostHog API key and project ID in the request headers. This approach allows you to log events without building a formal integration—simply use PostHog's documented API.
- Step 3: Map MentionFox Data to PostHog User and Company Profiles. In PostHog, create user profiles or company cohorts that correspond to prospects in your MentionFox outreach campaigns. When you send an email to a prospect, include a query parameter in your email link (e.g., utm_source=mentionfox, utm_campaign=[campaign_id], utm_prospect_id=[id]) or set a PostHog user property (like 'prospect_source': 'mentionfox', 'discovery_platform': 'linkedin'). When that prospect visits your site and PostHog tracks their session, you can match their activity back to the MentionFox outreach event. Over time, PostHog will show you a complete journey: outreach sent → website visit → trial signup → feature adoption, all tagged with MentionFox metadata.
- Step 4: Create PostHog Dashboards and Insights for GTM Reporting. Build PostHog dashboards that visualize the impact of MentionFox-sourced prospects. Create charts showing: (1) conversion funnel from outreach email sent → website visit → trial signup → paid plan, filtered by 'prospect_source': 'mentionfox'; (2) comparison of average session duration and feature interaction time for MentionFox prospects vs. organic visitors; (3) time-to-conversion by discovery platform (e.g., LinkedIn mentions convert faster than HackerNews); (4) investor research impact—trial conversion rate for prospects from funding rounds vs. bootstrapped companies. Use PostHog's retention and cohort analysis to track whether MentionFox-sourced users show higher long-term activation and lower churn. Review these dashboards weekly to optimize your research targets and outreach messaging.
Without MentionFox
Without MentionFox connected to PostHog, your team runs social listening and outreach manually—searching platforms ad hoc, researching prospects in spreadsheets, and sending emails with no correlation to your product analytics. This creates a measurement gap: you never know whether your intelligence-driven outreach campaigns actually drove product adoption or remained disconnected from real user engagement.