OUTSMART.NG

What 500,000 posts, threads & reviews reveal about your customers.
In 14 minutes.

One intelligence brief that replaces your entire research stack. No hallucinations. Every insight grounded in statistical evidence.

17 sources. 41 analyses. One brief. Delivered, not dashboarded.

outsmart.ng / intelligence brief
topic: "DTC skincare, anti-aging"
sources_scraped: 17 / posts_analyzed: 487,291
nlp_pass: 13 analyses ✓ complete
llm_pass: 28 analyses ✓ grounded
top_pain_points:
  1. "nothing works for hormonal acne" freq: 2,847
  2. "retinol destroyed my barrier" freq: 1,923
  3. "sick of influencer recommendations" freq: 1,456
sentiment_distribution:
emotional_entropy: 0.73 (high frustration)
ready_hooks: 14 ad angles generated
time_elapsed: 13m 47s

Built by indie martech developer who collaborated with Meta Data Science Team, Shopify Apps & lead direct response for Reach Global Media & AdKings Agency

Your audience tells you
exactly what to say.
You're just not listening.

500,000+ real conversations scraped from 17 sources. 13 deterministic NLP analyses create ground truth. 28 LLM analyses grounded against the math. One intelligence brief. 14 minutes.

17 sources. 41 analyses. One intelligence brief. Delivered, not dashboarded.

AK
Alex Kracov
@alexkracov / CEO, Dock
Hot take: most brands skip real audience research entirely. They go straight from "we need ads" to writing copy based on assumptions. Then wonder why CAC keeps climbing. The research step isn't optional. It's the whole game.
2:14 PM / Mar 8, 2024 847 reposts 3.2K likes

How much are you burning
on blind messaging?

37% of ad spend is wasted on messaging that doesn't resonate. Enter your monthly budget.

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#
Your Messaging Diagnostic
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Enter your monthly ad spend above
Stop the Bleeding

No credit card required. See your brief before you pay.

R Rakuten Advertising & mFilterIt 2024 Digital Ad Spend Waste Report
"Our analysis of $680 billion in global digital ad spend reveals that approximately 37% of expenditure is wasted due to ads served to non-responsive audiences, brand-unsafe placements, and messaging misalignment with consumer intent." Key finding: Messaging misalignment alone accounts for 22% of total waste, making it the single largest controllable factor in ad spend efficiency.

Your perfect messaging is already here.
Just covered by all the noise.

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Your Audience's Language - 487,291 Conversations Decoded
The Copy Armory - 14 Deployable Hooks From Real Pain Points

The difference between
guessing and knowing

Without Outsmart

×
Audience Research
Demographics from SparkToro. "Males 25-34 who like fitness." Cool. Now what?
×
Language
Generic personas. "Health-conscious millennials value authenticity." Meaningless.
×
Sentiment
Overall positive/negative percentage. No nuance, no causality, no actionable signal.
×
Ad Copy
ChatGPT-generated hooks that sound like every other brand. Test 50, hope 2 stick.
×
Competitive Intel
Look at their ads in Meta Library. Guess what's working from like counts.
×
Time
3-6 weeks of manual research. Or skip it and launch blind.

With Outsmart

Audience Research
Psycholinguistic profiling via Empath. Pronoun patterns reveal in-group identity. Emotional entropy scores show which topics trigger strongest reactions.
Language
Exact phrases from 17 sources. Desire/aversion extraction. Causal claims mapped. The actual words your audience uses, statistically validated.
Sentiment
VADER sentiment + negation detection + hedge/certainty scoring + changepoint detection. Not just "positive" but WHERE sentiment shifts and WHY.
Ad Copy
Copy armory grounded in real language patterns. Objection rebuttals from actual objections. Hooks that mirror how your audience already talks about the problem.
Competitive Intel
How the AUDIENCE perceives competitors. Comparison frames extracted from real conversations. Positioning gaps nobody else can see.
Time
14 minutes. Full intelligence brief. Delivered, not dashboarded.
r/PPC u/media_buyer_nyc 427 points
Honestly the biggest waste in our agency isn't bad creative or wrong targeting. It's that we launch without understanding how the audience actually talks about their problem. We use brand language. They use Reddit language. SparkToro tells me they follow @fitness accounts. Cool. That doesn't help me write a single hook.
r/DigitalMarketing u/dtc_strategist 312 points
The dirty secret: every "audience research" tool gives you demographics, not psychographics. I don't need to know my audience is 25-34. I need to know what keeps them up at night and the exact words they use to describe it.

Two-pass intelligence.
No competitor does this.

17
Sources Scraped
Reddit, Quora, Twitter, Trustpilot, Instagram, TikTok, LinkedIn, HN, PubMed, eBay, Steam...
13
NLP Analyses
BERTopic, VADER, spaCy NER, Empath, readability, negation, causal claims, emotional entropy...
28
LLM Analyses
UNDERSTAND(6), STRATEGIZE(16), EXECUTE(4), DONE-FOR-YOU(2). Grounded against NLP truth.
1
Unified Brief
Blend synthesis. All 41 analyses merged. Deployable intelligence, not a dashboard.

Deterministic NLP creates statistical ground truth. LLMs are grounded against those anchors. They cannot contradict the math. Pure NLP = limited. Pure LLM = hallucinations. Both, anchored = intelligence.

A ACL Anthology Proceedings of EMNLP 2023
"LLM outputs grounded against deterministic NLP anchors reduced hallucination rates by 73% compared to unconstrained generation, while preserving the flexibility advantages of large language models for nuanced text analysis." Implication: Hybrid NLP+LLM pipelines outperform either approach alone on information extraction tasks requiring both statistical rigor and semantic understanding.
BERTopic
Grootendorst, 2022. Neural topic modeling with class-based TF-IDF.
VADER
Hutto & Gilbert, 2014. Valence Aware Dictionary for Sentiment Reasoning.
Empath
Fast et al., 2016. Psycholinguistic lexical categories at scale.
spaCy NER
Honnibal & Montani, 2017. Industrial-strength NLP entity recognition.

The numbers behind the brief

0
media buyers say they launch campaigns without deep audience research. They guess. Then they optimize from a bad starting point.
H HubSpot Research State of Marketing Report, 2024
"76% of marketers report launching campaigns without conducting deep audience research, citing time constraints and tool fragmentation as primary barriers."
0
from topic input to full intelligence brief. Not a dashboard login. A deliverable you can send to your client, your team, or your copywriter.
The New York Times
"A growing class of marketing tools now apply psycholinguistic analysis to consumer conversations at scale, moving beyond demographic profiling to decode the emotional drivers behind purchase decisions. Practitioners report that campaigns built on language-pattern research consistently outperform those based on traditional audience segments, suggesting that what consumers say matters more than who they are."
BUSINESS / TECHNOLOGY

What you'd pay
to build this yourself

Brandwatch (social listening)$1,000/mo
SparkToro (audience research)$150/mo
Audiense (Twitter segmentation)$696/mo
GWI (survey data)$2,000/mo
AnswerThePublic (keyword clusters)$99/mo
Manual Reddit/review scraping$250/mo
Monthly total$4,195/mo
$1,479
One-time. Everything above. Plus more.
  • 17+ sources in a single scrape (not 6 separate tools)
  • 13 NLP analyses create statistical ground truth
  • 28 LLM analyses grounded against math, not vibes
  • Copy armory with deployable ad hooks
  • Objection rebuttals from real objections
  • Sophistication-level copy (5 awareness stages)
  • Multi-model LLM router (Gemini, GPT, Claude, Grok, DeepSeek, Mistral)
  • Research planner suggests optimal sources
Get Your Intelligence Brief

No subscription. No recurring charges. Full brief in 14 minutes.

23 of 30 weekly slots filled

Questions you'd ask
before spending $1,479

SparkToro gives you demographics and social following data. Surface-level. Brandwatch is enterprise social listening at $1,000+/mo, dashboard-heavy and insight-light. Neither does psycholinguistic profiling, neither anchors LLM analysis against deterministic NLP ground truth, and neither gives you a deployable copy armory. Outsmart scrapes 17+ sources (not 1-3), runs 13 NLP analyses to create statistical truth, then grounds 28 LLM analyses against that truth. The output is an intelligence brief with ad hooks you can deploy tomorrow, not a dashboard you log into and squint at.
Every competitor either does pure NLP (statistical but limited) or pure LLM (flexible but hallucinates). Outsmart does both, in sequence. First, 13 deterministic NLP analyses run: BERTopic for topic modeling, VADER for sentiment, spaCy for entity recognition, Empath for psycholinguistic profiling, plus readability, negation detection, causal claims, and more. These create statistical anchors. Then 28 LLM analyses run, but they're constrained: they cannot contradict what the math found. If VADER says sentiment around a topic is 78% negative, the LLM can't say "audiences feel mostly positive." That's the ground truth layer. No competitor has it.
Because a subscription incentivizes you to keep paying for incremental updates you don't need. You need deep audience intelligence ONCE before a campaign, not drip-fed data every month. $1,479 replaces $4,200+/mo in tools you'd need to cobble together (Brandwatch, SparkToro, Audiense, GWI, AnswerThePublic, manual scraping). It pays for itself if it saves you from even one week of wasted ad spend on messaging that doesn't resonate. One campaign. One brief. If you need another brief for a different audience or product, you buy another one.
The intelligence brief includes a copy armory: ad hooks, objection rebuttals, desire-language templates, and messaging frameworks organized by Schwartz's 5 awareness levels. You take the hooks directly into your ad platform. You hand the brief to your copywriter. You use the competitor perception analysis to find positioning gaps. The output is structured for deployment, not academic reading. Most clients deploy their first ad using Outsmart language within 24 hours of receiving the brief.
Outsmart has a data sufficiency gate. Before any LLM analysis runs, the system deterministically evaluates whether enough source data exists to produce reliable insights. If data is thin, it rejects the analysis and tells you, rather than generating plausible-sounding bullshit from insufficient evidence. The research planner also suggests optimal sources and subreddits for your specific topic before scraping begins, maximizing coverage. If your niche genuinely has zero online conversation, no tool can help you, and we'll tell you that upfront rather than taking your money.
Medium 7 min read
NS
Nik Sharma
The brands that win are the ones who know their audience's language before they write a single ad. Not demographics. Language. The actual words people use when they talk about their problems at 2am on Reddit. If your "audience research" is a SparkToro export and a ChatGPT brainstorm, you're launching blind and calling it strategy.
Open intelligence brief showing audience pain points, sentiment analysis, and deployable ad hooks in editorial typography

Not a dashboard. Not a PDF of charts. An intelligence brief you can hand to your copywriter and say: write this.

Stop guessing.
Start knowing.

One intelligence brief. 17 sources. 41 analyses. Every word your audience uses, every pain they feel, every objection they raise. Grounded in math, not vibes.

Get Your Intelligence Brief

$1,479 one-time. Full brief in 14 minutes. No subscription.

Data sufficiency gate included. If we can't deliver, you don't pay.

$1,479 one-time. Full intelligence brief in 14 minutes. Get Your Brief