The Reddit Copy Mining Playbook

How to Extract Customer Language for Google Ads That Actually Convert

---

Most advertisers start Google Ads research the same way: open Keyword Planner, type in a seed keyword, export the list.

Here's the problem. Keyword tools show you what people search. They don't show you how people actually talk about their problems.

That gap costs you money.

We've seen this across 40+ ad accounts: switching from keyword-tool language to customer-sourced language improved CTR by 20-46%. Same targeting, same budget. Just different words.

Reddit has 1+ billion monthly users having unfiltered conversations about their problems, frustrations, and purchase decisions. They're not polishing their language for social media. They're typing exactly what they'd type into Google at 2am when they're desperate for a solution.

(Yes, really - anonymity removes the filter.)

This playbook shows you how to extract that language and turn it into Google Ads copy that sounds like your customers talking to themselves. Because it literally is.

---

The R.E.A.D. Framework

We developed this framework after 18 months of testing VoC approaches across client accounts. Most voice-of-customer guides focus on surveys and reviews. Reddit requires a different approach.

R.E.A.D. stands for:

Each phase builds on the last. Skip one and you'll end up with generic copy or mismatched language.

Let's break down each phase.

---

Phase R: Research - Finding Your Customers' Communities

Why Subreddit Selection Matters

Not all subreddits are equal. You want communities where:

• People discuss problems your product solves
• Posts include detailed descriptions (not just memes)
• Activity is recent (posts within last 7 days)
• Size is right - 10K-500K subscribers usually yields better language than mega-subreddits

6 Methods to Find Relevant Subreddits

Method 1: Google Site Search

site:reddit.com [your niche]
site:reddit.com inurl:r/[keyword]

This surfaces subreddits Google has indexed for your terms. Often catches communities Reddit's own search misses.

Method 2: Reddit's Native Search

• Go to reddit.com/subreddits
• Search your niche terms
• Filter by relevance, then check activity

Method 3: Related Subreddits

• Find one relevant subreddit
• Check their sidebar for "Related Communities"
• These are often curated by mods who know the space

Method 4: GummySearch Discovery

• Use the community discovery feature
• Filter by size and activity
• Save to tracked lists

Method 5: Competitor Mentions

• Search: site:reddit.com "[competitor name]"
• Note which subreddits discuss them
• Those are your communities too

Method 6: Problem-Based Search

• Search the problem, not the product
• Example: "email open rates" instead of "email marketing tool"
• People discuss problems before they discuss solutions

Research Phase Checklist

• Identified 5-10 relevant subreddits
• Verified each has posts within last 7 days
• Checked subscriber counts (target 10K-500K for quality language)
• Reviewed post types (questions and complaints are best)
• Noted subreddit-specific language patterns
• Saved to tracking list (Reddit Answers bookmarks, GummySearch, or spreadsheet)

---

Phase E: Extract - 47 Search Operators for Pain Point Mining

This is where the playbook pays for itself. We compiled these 47 operators after testing 100+ variations across different niches. These are the ones that consistently surface usable phrases.

How to Use These Operators

For each operator:

1. Add your niche keyword after the phrase
2. Run in Reddit search OR Google with site:reddit.com
3. Read 10-20 results
4. Copy verbatim phrases that resonate

Pain Point Operators (Surface Problems)

Solution-Seeking Operators (Surface Intent)

Competitor Intelligence Operators

Objection Mining Operators

Success Language Operators

Extraction Phase Checklist

• Ran 10+ pain point operators in target subreddits
• Ran 5+ solution-seeking operators
• Ran competitor operators for top 3 competitors
• Ran 5+ objection mining operators
• Ran success language operators for testimonial angles
• Copied 50+ verbatim phrases to raw swipe file
• Noted emotional language (frustration, relief, excitement)
• Captured specific use cases mentioned

---

Phase A: Apply - The Language Extraction Template

Raw phrases aren't useful on their own. You need to organize them by how you'll actually use them in ads. This is where most people skip ahead - and end up with a messy swipe file they never touch again.

The 5-Category Language Bank

Organize every phrase you extract into one of these categories:

Category 1: Pain Statements (Headlines, Hooks) Use for: Ad headlines, hook copy, problem agitation

Examples:

• "Sick of tools that promise attribution but show different numbers everywhere"
• "Spending hours in spreadsheets trying to figure out what's actually working"
• "Watching ROAS drop and having no idea why"

Category 2: Desired Outcomes (Value Props) Use for: Benefit statements, transformation promises

Examples:

• "I just want to see which campaigns are actually making money"
• "Need something that works without a data science degree"
• "Want to scale without guessing"

Category 3: Objections (Rebuttals, Extensions) Use for: Ad copy rebuttals, site link extensions, callout copy

Examples:

• "I was worried it would be another dashboard I never use"
• "Didn't want to pay enterprise prices for basic tracking"
• "Skeptical after trying 3 tools that all sucked"

Category 4: Trigger Phrases (Keywords, Audiences) Use for: Search keywords, audience targeting refinement

Examples:

• "When I realized my Facebook numbers didn't match Shopify"
• "After iOS14 destroyed my tracking"
• "Once we hit $50k/month and couldn't see what was working"

Category 5: Competitor Language (Competitive Campaigns) Use for: Competitor campaigns, positioning copy

Examples:

• "GA4 is a nightmare to set up"
• "Northbeam is great but way too expensive"
• "Triple Whale works but the learning curve..."

Language Bank Template

Create a spreadsheet or doc with these columns:

Apply Phase Checklist

• Created language bank template
• Categorized all 50+ phrases into 5 categories
• Identified emotion for each phrase
• Mapped phrases to campaign types
• Prioritized top 10 phrases per category
• Removed duplicates and near-duplicates
• Verified phrases are customer language (not your language)

---

Phase D: Deploy - Campaign-Specific Applications

Now turn that language bank into live ads. This is where the ROI shows up.

Search Campaign Application

Headlines (from Pain Statements + Outcomes)

• Use Category 1 phrases for emotional headlines
• Use Category 2 phrases for benefit headlines
• Keep under 30 characters - trim to core message

Before (keyword-tool copy):

"Best Attribution Software"

After (Reddit-sourced copy):

"Finally See What's Actually Working"

Descriptions (from Objections + Outcomes)

• Lead with objection rebuttal
• Follow with outcome promise
• Include specificity from extracted phrases

Before:

"Track your marketing attribution across all channels. Start free trial."

After:

"Tired of dashboards that don't match? See which campaigns make money. Not another tool you'll never use. Setup in 15 min."

Keywords (from Trigger Phrases)

• Extract exact phrases people use when seeking solutions
• Add as phrase match and exact match
• These often have lower competition than keyword-tool suggestions

Display/Discovery Campaign Application

Audience Targeting

• Use subreddit topics as interest targeting inspiration
• Map subreddit themes to Google's in-market audiences
• Layer with custom intent using extracted phrases

Creative Angles

• Use most-upvoted pain points as creative hooks
• Test different emotional triggers (frustration vs. hope)
• Mirror community language in ad copy

Ad Copy Structure

1. Pain statement hook (Category 1)
2. "What if" or outcome tease (Category 2)
3. Credibility element (specific number if possible)
4. CTA

Example:

"Spending hours figuring out what's working? What if you knew in 30 seconds? 100+ brands use [Product]. See why."

YouTube Campaign Application

Hook Scripts (First 5 Seconds) Use pain statements verbatim:

• "If you've ever opened your dashboard and seen three different ROAS numbers..."
• "Tired of guessing which campaigns are actually making money?"
• "After iOS14, did your tracking basically break?"

Problem Agitation (Seconds 5-15) Stack 2-3 pain points from Category 1:

• "Your Facebook numbers don't match Shopify"
• "GA4 takes 48 hours to show anything"
• "And you're scaling blind"

Solution Introduction (Seconds 15-30) Use outcome language from Category 2:

• "What if you could see exactly which campaigns generate revenue?"
• "In real-time. Without spreadsheets. Without guessing."

Deploy Phase Checklist

• Created 5+ headline variations using Category 1-2 phrases
• Created 3+ description variations using Category 2-3 phrases
• Added extracted keywords to Search campaigns
• Created Display/Discovery audience based on subreddit themes
• Wrote Display creative using pain + outcome language
• Scripted YouTube hook using verbatim pain statements
• A/B testing customer language vs. previous copy
• Tracking CTR and conversion rate changes

---

Tool Alternatives (Post-GigaBrain Shutdown)

GigaBrain shut down after Reddit launched Reddit Answers and cut off API access. Over 2 million users were affected.

We used GigaBrain for 18 months before the shutdown. Losing a core research tool forced us to stress-test every alternative. Here's what we found.

Good news: Reddit Answers is now the native replacement - and it's free.

The methodology in this playbook doesn't require any paid tool. But these can speed up the process:

---

Reddit Answers: The Native Alternative (FREE)

Reddit Answers (reddit.com/answers) is Reddit's built-in AI-powered search tool. It launched in December 2024 after Reddit discontinued GigaBrain's API access.

What It Does

• Summarizes conversations from 100,000+ subreddits
• Provides curated answers with source links
• Allows follow-up questions for deeper research
• Uses AI models from OpenAI and Google Cloud

How to Access

1. Go to reddit.com/answers
2. Or find the "Answers" button on Reddit's homepage
3. iOS app: Available in bottom navigation bar
4. Note: Currently US-only, English-only (expanding to more markets)

Using Reddit Answers for VoC Mining

Unlike traditional search, Reddit Answers gives you summarized themes. Here's how to use it for each R.E.A.D. phase:

For Phase R (Research):

Query: "What subreddits discuss [your niche] problems?"
Query: "Where do people talk about [competitor] alternatives?"
Query: "Communities for [your industry] professionals"

Reddit Answers will list relevant subreddits with context on what each discusses.

For Phase E (Extract):

Query: "What frustrates people most about [product category]?"
Query: "What do people wish [competitor] would fix?"
Query: "Common complaints about [your niche] tools"
Query: "Why do people switch from [competitor]?"

The AI surfaces pain point themes. Click through to source threads for verbatim language.

For Phase A (Apply):

Query: "What do people look for when choosing [product type]?"
Query: "Biggest concerns before buying [your category]?"
Query: "What makes people trust [product type] recommendations?"

Use answers to understand what categories to prioritize in your language bank.

For Phase D (Deploy):

Query: "How do people describe success with [solution type]?"
Query: "What results do people expect from [product category]?"

Extract outcome language for value propositions.

Reddit Answers Limitations

• Summaries miss nuance - always click through to source threads
• Doesn't capture emotional intensity (frustration, relief)
• Can't filter by subreddit or time range
• May not surface niche communities with smaller post volume

Best Practice: Use Reddit Answers for initial discovery and theme identification. Then use Google site search with the 47 operators in Phase E for verbatim phrase extraction.

---

Other Free Options

Google Site Search

• Works: Always
• Method: site:reddit.com "[search operator]" [keyword]
• Best for: Deep targeted searches, verbatim phrase extraction
• Pro tip: Add inurl:r/[subreddit] to filter by community

Reddit Native Search

• Works: Always
• Method: Reddit.com search with filters (relevance, time, subreddit)
• Best for: Quick browsing, recent posts, subreddit-specific searches

Paid Options

GummySearch ($29-199/month)

• Features: Community discovery, pain point surfacing, notifications
• Best for: Ongoing research, multiple projects
• Note: 7-day free trial on Pro

RedditMentions (Subscription)

• Features: Keyword monitoring, daily digests
• Best for: Brand monitoring, competitor tracking

Reddibee (Subscription)

• Features: Lead gen, community insights
• Best for: Sales-focused research

Tool Selection Guide

Our Recommendation

Workflow for best results:

1. Start with Reddit Answers for theme discovery and subreddit identification
2. Use Google site search with operators for verbatim phrase extraction
3. Add GummySearch if you're doing this regularly or tracking competitors over time

Reddit Answers replaced GigaBrain as the easiest way to get quick Reddit insights. Google site search remains the most powerful for extracting exact customer language.

---

Quick Reference: R.E.A.D. Cheat Sheet

Phase R - Research

Find 5-10 subreddits with:

• 10K-500K subscribers
• Posts within 7 days
• Questions and complaint threads

Phase E - Extract

Run these minimum operators:

• "tired of" + "fed up with" (pain)
• "finally found" + "wish there was" (outcomes)
• "[competitor] vs" + "switched from" (competitors)
• "I was worried" + "not sure if" (objections)

Phase A - Apply

Organize into 5 categories:

1. Pain Statements → Headlines
2. Desired Outcomes → Value Props
3. Objections → Rebuttals
4. Trigger Phrases → Keywords
5. Competitor Language → Competitive Campaigns

Phase D - Deploy

• Search: Headlines from pain, descriptions from outcomes
• Display: Hook with pain, tease with outcome
• YouTube: Open with verbatim pain statement

---

7-Day Implementation Plan

Day 1: Research Setup

• Identify your niche and 3 main competitors
• Run subreddit discovery (Methods 1-6)
• Create list of 5-10 target communities
• Set up language bank template

Day 2: Pain Point Mining

• Run all 10 pain point operators
• Extract 20+ verbatim phrases
• Note emotional intensity levels
• Categorize as Category 1

Day 3: Solution + Outcome Mining

• Run all 10 solution-seeking operators
• Extract 15+ verbatim phrases
• Categorize as Category 2
• Note specific outcomes mentioned

Day 4: Competitor + Objection Mining

• Run competitor operators for top 3 competitors
• Run objection mining operators
• Extract 15+ phrases each
• Categorize as Categories 3 and 5

Day 5: Language Bank Organization

• Complete categorization of all phrases
• Prioritize top 10 per category
• Map to campaign types
• Identify strongest 5 headlines

Day 6: Campaign Creation

• Write 5 headline variations for Search
• Write 3 description variations
• Create Display ad concepts
• Script YouTube hook (if applicable)

Day 7: Launch + Baseline

• Launch A/B test: customer language vs. control
• Set 2-week test window
• Document baseline metrics
• Schedule Week 2 analysis

---

What to Expect

Based on documented case studies (CXL, Conversion Rate Experts, 3M):

• CTR improvement: 20-46% when copy matches community language (Reddit ads data)
• Conversion lift: VoC-driven copy has driven 35-400% improvements (Voices.com: 400%, 3M: 50%, Taylor Made: 35% vs 3-5% industry baseline)
• Keyword discovery: You'll find phrases keyword tools miss entirely
• Objection clarity: You'll know exactly what's stopping people from buying

The methodology works because you're not guessing what customers want to hear. You're repeating what they've already said - in their exact words.

That's the difference between copy that sounds like marketing and copy that sounds like a conversation they're already having with themselves.

But here's the thing: the first round is just the baseline. The brands that keep winning are the ones who return to Reddit monthly, refreshing their language bank as customer problems evolve.

---

What We Got Wrong

The R.E.A.D. Framework came from making expensive mistakes first:

Mistake: Treating Reddit like a keyword tool. We started by pulling single words and short phrases. They looked like any keyword planner output. Zero improvement in CTR. The breakthrough came when we started copying full sentences - the emotional context is where the conversion power lives.

Mistake: Skipping the Apply phase. We went straight from extraction to campaign launch. 200+ phrases dumped into a spreadsheet, never categorized. When it came time to write ads, we couldn't find anything. Three hours of mining, wasted. Now we categorize in real-time as we extract.

Mistake: Mining only one subreddit. We found a perfect community and mined it dry. The language started repeating. Campaigns plateaued. We learned that 5-10 subreddits gives you overlapping perspectives on the same problem - and each community frames it differently. That's where fresh angles come from.

Mistake: Not tracking source threads. Early campaigns showed 40%+ CTR lifts, but we couldn't trace which Reddit threads produced the winning phrases. Now every phrase in our language bank links to its source thread. When something works, we go back to that thread for more.

The R.E.A.D. Framework exists because we burned through these lessons so you don't have to.

---

Created with the R.E.A.D. Framework | Reddit Voice-of-Customer Mining for Google Ads