Threadlytics uses advanced keyword matching with intelligent context filtering to achieve industry-leading accuracy. Our system monitors all Reddit conversations and employs multiple filtering layers including context keywords, negative keyword exclusions, and subreddit filtering to eliminate false positives.

You can expect 95%+ relevant mention detection while filtering out irrelevant content like job postings or gaming discussions that might contain your brand terms. The platform also supports related keywords and alternative brand names to ensure comprehensive coverage without sacrificing precision.

How do I filter out irrelevant Reddit mentions and noise?

Threadlytics offers multiple filtering layers:

1. Context keywords that require specific terms to appear together (can be set per keyword or globally)
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2. Negative keywords to exclude unwanted terms (can be set per keyword or globally)

3. Subreddit exclusions for irrelevant communities

4. Language filters5. Minimum content length requirements

These filters eliminate irrelevant content, job postings, spam, and off-topic discussions automatically.

What types of keywords can I track?

Threadlytics lets you track three types of keywords:

1. Brand keywords (your company/product names)
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2. Competitor keywords (rival brands and products)
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3. Industry keywords (terms like "project management" or "CRM").
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This organization helps you separate brand monitoring, competitive intelligence, and market research insights.

How many keywords can I track?

The number of keywords you can track depends on your plan tier. Each plan includes a set number of keywords across all three types (brand, competitor, and industry).

What are context keywords and how do they work?

Context keywords filter mentions to only show posts where specific terms appear together. For example, you can track "Notion" only when "project management" is also present in the post, eliminating irrelevant mentions.

You can set global context keywords that apply to all monitored keywords, or set context keywords for individual keywords.

How do you prioritize Reddit conversations to engage in?

Every conversation receives an opportunity score from 0-100% based on post upvotes, comment count, and sentiment.

High-opportunity conversations are automatically flagged, and you can filter by opportunity level (high, medium, low, trending) to focus your team's efforts on threads with the highest engagement potential.

Can I track conversations around specific topics?

Yes. Threadlytics supports three keyword types:

1. Brand keywords for your company name
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2. Competitor keywords to track rivals
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3. Industry keywords for broader topics like "email marketing" or "CRM"Monitor entire market conversations to identify trends, pain points, and opportunities beyond direct brand mentions.

How does opportunity scoring work?

Opportunity scoring (0-100%) evaluates three factors: engagement level (upvotes and comment count), sentiment (positive/neutral conversations score higher), and relevance.

High-scoring opportunities represent conversations with strong engagement, favorable sentiment, and clear relevance to your keywords.

Can I see how my brand compares to competitors on Reddit?

Share of Voice (SoV) analysis shows your brand's mention frequency compared to competitors for any keyword or industry term.

You'll see percentage breakdowns, cumulative trends over time, and which subreddits favor your brand versus competitors. This competitive intelligence informs positioning strategy and identifies market gaps.

How is Share of Voice (SoV) calculated?

Share of Voice shows what percentage of total Reddit mentions belong to your brand versus competitors for specific keywords.

For example, if "project management" appears in 100 Reddit conversations this month, and your brand is mentioned in 30 of them while a competitor is mentioned in 50, your Share of Voice is 30% vs. their 50%.

You can filter by specific context keywords to understand competitive positioning in different conversation contexts.

How does sentiment analysis work, and can I trust the results?

Our sentiment analysis uses sophisticated natural language processing specifically tuned for Reddit's conversational style. The system analyzes not just individual words but context, tone, and discussion patterns to classify mentions as positive, negative, or neutral.

You'll see sentiment breakdowns by keyword and time period, plus opportunity scoring that identifies high-value conversations where your brand can authentically engage. The sentiment data includes confidence scores and contextual details so you can validate the analysis and make informed decisions about when and how to respond.

Can I track sentiment changes over time for specific keywords?

Yes. Threadlytics tracks sentiment trends for every keyword you monitor (brand, competitor, or industry).You can see how perception shifts month-over-month and identify when sentiment changes, allowing you to correlate perception shifts with product launches, PR events, or competitor actions.

Is Threadlytics suitable for agencies managing multiple client accounts?

Yes, Threadlytics is designed with agencies in mind. Agency accounts can create and manage multiple client dashboards, each with completely isolated data and customized keyword sets. The client switcher allows you to seamlessly move between different client views, and all analytics, reports, and settings are kept separate for each client.

You can set up different monitoring preferences, excluded subreddits, and language filters for each client based on their specific needs. This makes it easy to scale your social listening services while maintaining professional organization and data security.

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