How it works
MentionFox continuously listens across Reddit, X, LinkedIn, Quora, HackerNews, forums, news sites, podcasts, review platforms, TikTok, YouTube, Substack, Medium, and 39+ other channels. When your product, company name, or competitor is mentioned, MentionFox identifies the conversation. You can then log a custom Heap event each time a mention triggers an alert, allowing you to correlate external brand mentions with in-app user activity. For example, if a prospect mentions your solution on Reddit and later visits your pricing page, Heap can capture both events in a single user journey, helping you understand how social discovery influences conversion intent.
MentionFox's lead enrichment module pulls data from 52+ platforms to build prospect profiles. When your sales team uses MentionFox to research a lead, they can trigger a Heap event that captures the enrichment moment—like 'lead_researched' or 'prospect_profile_built'—along with metadata such as industry, location, or engagement score. Heap then connects that research event to subsequent actions: Did the prospect open your email? Did they click a link? Did they sign up for a demo? This integration reveals whether MentionFox-enriched prospects convert at higher rates than those researched manually or through other means.
MentionFox's outreach automation requires user preview and click-to-send on every email—no auto-sends—so your team always controls what goes out. When an outreach campaign is sent from MentionFox, log a Heap event with campaign ID, recipient segment, and send timestamp. Heap then tracks whether recipients who receive MentionFox-sourced outreach engage with your website, download resources, or take conversion actions. Over time, you can measure campaign effectiveness, segment performance by industry or geography, and refine your targeting based on which MentionFox-researched or MentionFox-sourced prospect segments show the strongest engagement patterns.
What you can do
Marketing Team Tracks Inbound from Social Mentions
Your marketing team configures MentionFox to alert on brand mentions across social platforms. Whenever a prospect mentions your product or solution category, MentionFox notifies the team. Your team then logs a Heap event tagged 'external_mention_detected' with the mention source, sentiment, and prospect details. Later, if that same prospect visits your website or demo page, Heap attributes their arrival to the original mention event. After 30 days of data, marketing discovers that prospects who were detected via MentionFox mentions on LinkedIn convert to demo requests at 3.2x the rate of organic search visitors, informing budget allocation for future social listening efforts.
Sales Operations Correlates Investor Research with Deal Velocity
Your sales team uses MentionFox to research a prospect company's investor base (database of 52,000 investors) and recent funding activity. Each time a prospect or their company is researched in MentionFox, your CRM logs a Heap event: 'prospect_investor_research_completed'. Heap correlates this event with downstream sales metrics—email open rate, meeting scheduled, proposal sent, deal closed. After analyzing six months of data, you discover that deals where investor research was conducted via MentionFox close 18% faster and at higher deal sizes, because your team has stronger context. This insight justifies deeper use of MentionFox's investor intelligence across your sales workflow.
Product Team Measures AI Model Visibility Impact on Product-Market Fit
Your product uses large language models internally. MentionFox's AI-Visibility module measures how often your product is recommended across AI assistants, AI assistants, AI assistants, AI assistants, AI assistants, and AI assistants in real-time. Each week, MentionFox delivers a visibility report. Your team logs a Heap event 'ai_visibility_report_received' with the recommendation rate and trending status. You then correlate these weekly visibility metrics against signup volume, trial-to-paid conversion, and usage growth in Heap. Over two quarters, you see that weeks where AI-Visibility recommendation rate exceeds 75% correlate with 2.1x higher signup volume and sustained retention. This drives product roadmap decisions and messaging updates to increase AI model recommendations.
How to connect
- Step 1: Generate Heap API Credentials. Log into your Heap analytics dashboard and navigate to the 'API' or 'Integrations' section. Create a new API token with permissions to write events. Copy your Heap Project ID and API token—you'll use these to authenticate requests from MentionFox. Store these securely; never commit them to version control. Heap will use these credentials to validate incoming event data from your MentionFox workflows.
- Step 2: Identify Key MentionFox Trigger Points. Map out when you want to send data to Heap. Common trigger points include: (a) a mention is detected on a monitored platform; (b) a lead is researched or enriched; (c) an outreach campaign is sent; (d) an AI-Visibility report is received. Document the event name, timing, and metadata for each trigger. For example, if MentionFox detects a mention, your event might be named 'mention_fox_brand_mention' with properties like platform, sentiment, prospect_name, and mention_url. Clear naming conventions make downstream analysis in Heap more readable and actionable.
- Step 3: Send Events via Heap API. From your MentionFox workflow or your integration layer (a serverless function, webhook handler, or scheduled job), make HTTP POST requests to Heap's event API endpoint. Include your Project ID in the URL, your API token in the Authorization header, and the event payload in the request body. Heap's API expects events in a standard format with properties like 'event', 'properties', and 'timestamp'. For example, when a mention is detected, send: event name 'mention_detected', properties including platform, prospect_company, and mention_date, and current timestamp. Heap receives and stores the event, associating it with the user or session if you include an identifier. All events are stored in Heap's data warehouse and become available for analysis within minutes.
- Step 4: Build Segments and Funnels in Heap. After events begin flowing, use Heap's UI to create segments and funnels based on MentionFox data. For example, build a segment 'MentionFox-Sourced Prospects' containing all users who triggered a 'lead_enriched' or 'mention_detected' event. Then create a funnel: 'Visited Website' → 'Viewed Pricing' → 'Requested Demo' filtered to that segment. Compare funnel conversion rates for MentionFox-sourced prospects against your baseline or other lead sources. Export or share reports with stakeholders to demonstrate ROI and inform whether to expand MentionFox usage. Iterate: if certain prospect segments (e.g., 'Software/SaaS') show stronger conversion, allocate more research effort there.
Without MentionFox
Without MentionFox, teams must manually search social platforms, forums, and news sites for brand mentions and competitor activity, consuming hours of research time. Sales teams rely on LinkedIn searches, company websites, and publicly listed databases to research prospects and investors, often missing signals from private communities, podcasts, and niche forums—resulting in incomplete prospect intelligence and slower deal cycles.