# Nick Theriot (@nicktheriot_) on x

- id: koinon:creator:x_nicktheriot_
- url: https://koinonlink.com/kol/x/nicktheriot_
- schema_version: 1.4

## Identity
- platform: x
- handle: nicktheriot_
- platform_url: https://twitter.com/nicktheriot_
- website: https://youtube.com/c/NickTheriot
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 31545
- following: 385
- posts_total: 51854
- posts_observed: 150
- posts_per_day: 8.562
- account_age_days: 6056
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00739
- best_post_interactions: 233
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: martech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Facebook ad creative testing frameworks, Scaling ads and milking winning creatives, Generating and validating ad ideas, Market awareness stages in advertising, Native ad copy and storytelling
- bio: Growth Marketer | Founder Theriot Solutions, LLC | YouTuber | Passionate about human psychology | Boxing 🥊

## Audience (inferred)
- status: present
- description: Facebook/Meta ads practitioners and growth marketers running direct-response campaigns for brands, especially ecom and health/supplement advertisers
- roles: ads
- seniority: practitioner
- pain_points: High cost per purchase and inability to scale profitably, Running out of ad variations and creative ideas quickly, Wasting time on half-baked ad concepts instead of testing winners fast, Not knowing how many ads to test per week or how to milk winning creatives
- posts_analysed: 12
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 92
- authenticity_basis: engagement_observed
- credibility_score: 92
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_nicktheriot_#74146b22] Our winning ad for a men's health brand this week… Is a medical picture of a dick. You can literally see the veins and everything. I still don't know how this one got approved. If it works, it works. (https://twitter.com/nicktheriot_)
- [x_nicktheriot_#7a6ce270] FLAVORMAXXING!! This ad sells the fun of picking your favorite flavor before you ever commit to a subscription (...unlike other boring electrolyte ads that sell you xyz elements to be hydrated) By the end, the viewer feels like they already know: 1. what the product looks like in
- [x_nicktheriot_#8c55ff1e] Simple Creative Testing Framework I Use To Scale Facebook Ads In 2026 https://t.co/waxM5mZuMu
- [x_nicktheriot_#f4ec148c] Got an animation ad printing? Cool. Now milk the shit out of it for every last click. Change ONE thing at a time: > 2 characters → 3 characters > Male hero → Female hero > Bright lab background → Dirty warehouse background > Serious voiceover → Funny voiceover > Feature callout 1
- [x_nicktheriot_#7e8f66f7] Begging every brand owner to stop this mistake: Sitting on 50 pieces of B-roll footage… And launching zero variations of it. Do THIS instead: ⦁ Find one hook → stitch one voiceover ad. ⦁ Find one benefit → stitch one voiceover ad. ⦁ Find one objection → stitch one voiceover ad. ⦁
- [x_nicktheriot_#3f258651] You're at $100K/month. You know ads work. You know your product sells. You know there's more on the table. So what's actually stopping you? 99% of the time it's one of these: → Offer ceiling you haven't identified yet → Creative strategy that doesn't scale past warm audiences → A
- [x_nicktheriot_#f74d0265] Brand revival for a client previous ads -> $831 cost per purchase our ads -> $75 cost per purchase Launched them last friday 7/31 and almost a week later, cpa is trending down still a lot more to go, but always fun getting accounts like this https://t.co/9AFfM3s5iO
- [x_nicktheriot_#d227ce26] Sat down Tuesday and did research for a client. Came up with about 13 ad ideas. Didn't look at them for 48 hours. Scratched out 9 this morning Wrote the 4 of them into final ads While you're in the research phase, everything is a good idea that you've never thought of before. But

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=76, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=108, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 8
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_nicktheriot_
- Request removal: https://koinonlink.com/claim?k=x_nicktheriot_
- Terms: https://koinonlink.com/for-ai