Creative strategy and UGC production
Native creator-led formats, authentic product demonstrations, hooks, creative variation, UGC volume, viral testing, and repurposing winning content.
40%
Best tweets about Influencer Marketing
50 Best Tweets About Influencer Marketing (2026)
Browse the best tweets about influencer marketing, from creator selection and briefs to pricing, attribution, campaigns, partnerships, and performance.
Influencer and creator campaigns, partner selection, briefs, pricing, attribution, operations, brand fit, fraud, and measurable results.
- Creators
- 41
- Updated
Original Xholic analysis
What 50 top Influencer Marketing posts reveal
The supplied posts commonly frame influencer marketing as an operating discipline: align creators with the audience and product, allow platform-native creative, use outcome-oriented signals where possible, and test or structure partnerships deliberately. The evidence also includes cautions about shallow engagement, rigid briefs, generic outreach, and the limits of AI-led judgment.
- Dominant tone
- Positive
- Median score
- 9.68
- Leading format
- Opinion
- Recent posts
- 50%
58% of posts
All-time engagement
42% of posts
Published in 90 days
Conversation map
The themes creators return to
Creator selection and audience fit
Choosing creators by niche authority, ICP alignment, audience quality, engagement substance, overlap, and platform-native relevance rather than follower count alone.
34%
Measurement, attribution, and ROI
Evaluating real outcomes through conversions, app-download spikes, qualified engagement, audience data, performance clauses, and signals beyond vanity metrics.
28%
Micro-creators and trusted communities
The performance advantage of nano and micro creators, relatable voices, expert educators, and smaller but highly engaged communities.
26%
Pricing, negotiation, and deal structures
Rate negotiation, bundles, upfront payment, view guarantees, performance bonuses, affiliate arrangements, usage rights, whitelisting, and long-term sponsorships.
24%
Scaling creator distribution
Building repeatable creator programs through high-volume testing, creator portfolios, content pipelines, multi-account distribution, and systematic reinvestment in winners.
20%
B2B and technical creator marketing
Using LinkedIn, technical experts, founder-led outreach, lead magnets, and education to market complex B2B, SaaS, and AI products.
18%
Outreach and creator operations
Creator discovery, personalized pitching, follow-ups, CRM workflows, campaign briefs, relationship management, and AI-enabled outreach automation.
16%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 30
- Median reposts
- 2
- Median replies
- 9
- Median views
- 3.2K
Posts with media make up 52% of this collection. Their median all-time score is 8.46, compared with 18.7 for text-only posts.
Format mix
- Opinion 42% · score 5.28
- Case Study 16% · score 8.08
- List 14% · score 19.1
- Tutorial 12% · score 16.3
Consensus and debate
Where creators agree, and where they do not
Shared view
Fit is prioritized over follower count
Several posts argue for selecting partners using niche authority, audience relevance, substantive engagement, and audience overlap rather than headline follower counts alone.
Shared view
Creators need latitude for native creative
Multiple posts argue that creator-led demonstrations and formats suited to the creator’s audience are preferable to rigid, repetitive, or overly prescriptive messaging.
Shared view
Look beyond surface-level engagement
Posts recommend examining signals such as audience data, comments, conversion evidence, and app-download timing rather than relying on views or generic engagement alone.
Open debate
High-volume testing versus relationship-led partnerships
Some posts advocate testing many creators and scaling winning formats, while others criticize pay-per-post arrangements and argue for longer-term creator relationships or sponsorships.
Open debate
AI for operations, with limits on judgment and authenticity
Posts propose AI for creator research, outreach, follow-ups, and negotiation support, while other posts argue that domain judgment is not easily automated and warn that AI-generated authenticity can create brand risk.
What performs
Patterns behind standout posts
The top deterministic outliers span systems, judgment, deals, and selection
The five supplied outliers include an influencer-growth case-study interview, a post about domain judgment, a campaign and deal-structure interview, creator-selection guidance, and a B2B campaign breakdown.
Lists and tutorials are recurring practical formats
Deterministic analysis identifies lists (14% of posts) and tutorials (12%) as recurring formats. The cited posts use these formats for negotiation tactics and AI-enabled outreach workflows.
Media is prevalent, but has the lower median score cohort
Media appears in 26 of 50 tweets (52%). Deterministic analytics report a media median all-time score of 8.46, compared with 18.71 for text posts.
Statistical standouts
- View standout post 1 Score 613.4 · 63.36× median
- View standout post 2 Score 159.5 · 16.48× median
- View standout post 3 Score 150.4 · 15.53× median
- View standout post 4 Score 93.6 · 9.67× median
- View standout post 5 Score 88.3 · 9.13× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Cody Schneider
@codyschneider
2 posts
-
2. Ole Lehmann
@itsolelehmann
2 posts
-
3. Joseph Choi
@JosephKChoi
2 posts
-
4. Kaleigh Moore
@kaleighf
2 posts
-
5. Neil Patel
@neilpatel
2 posts
-
6. Big Favy
@PrettyFavy17
2 posts
Subject expertise can differentiate a creator beyond CPM
Creators and observers argue that audience size, impressions, and engagement rate alone can turn creators into interchangeable inventory; they instead emphasize subject expertise, relevant audiences, and the ability to educate or engage a community.
Focused specialization may aid matching and discovery
Posts describe matching systems as potentially rewarding creators whose topics, audience interests, and authority clearly fit a campaign, rather than broad but unfocused visibility.
Automation proposals retain human responsibility for high-stakes work
The AI-outreach guidance assigns discovery, personalization, follow-ups, and tracking to automation while reserving contracts, creative briefs, negotiations, and final deal decisions for people.
Since the previous snapshot
What changed since Aug 12, 2026
- 80% of the selected posts remained.
- The creator count changed by -1.
- The leading sentiment remained stable.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Influencer Marketing tweets
Top Influencer Marketing tweets from 41 creators
Ranked 01–50
- 01
@JosephKChoi ·
so apparently the head of product at Cal AI previously founded a $2M ARR dating profile analyzer app AND was a designer at Robinhood, Snap, Meta most ppl see Cal AI as "the influencer growth case study" but when you watch how this guy thinks it's obvious that a thoughtful product team was key to the Cal AI story 0:00 Intro 1:48 Why Daniel picked the dating niche 4:45 The pre-launch Instagram playbook 5:39 Charging $15 for manual profile reviews before the app existed 6:30 The TikTok slideshow system 8:10 Unbranded to branded: how to warm up a new account 9:22 The Christmas Day post that did $5-6K in a single day 10:30 Scaling past organic with paid ads 11:05 Working with one influencer to fuel ad creative 13:14 Why the dating niche is brutal for influencer marketing 18:51 The photo pack upsell and the whales theory 19:36 Why he defaults the paywall to annual 23:02 The psychology behind onboarding screen order 26:03 Retention features that survive the 3-day trial 27:42 Groups, streaks, milestones, building network effects 30:23 What he learned at Cal AI, Robinhood, Snap, and Meta 35:32 Cal AI's design philosophy: three screens an influencer can show 37:10 Daniel's framework for picking a new app idea 40:53 Finding viral content niches before you build 44:27 The influencer-equity playbook for shipping multiple apps 46:52 Distribution strategies that are dying vs coming up 48:57 The Cal AI acquisition by MyFitnessPal 51:07 Final Thoughts
Watch video
- 02
@itsolelehmann ·
you need to tattoo this Boris Cherny quote into your brain: "coding is the easy part, it's knowing the domain that's the hard part" every week a new startup drops a launch video saying they "killed influencer marketing" or something but they don't get it. creating the thing is NOT the hard part it's understanding what thing you have to create, at what moment, and in what way and that takes years of pattern recognition from actually being in the arena and seeing what works AI can't shortcut that for you
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- 03
@JosephKChoi ·
the 14-year-old brother of @zach_yadegari hit $14k/mo on his own app. tested every channel himself until one worked. he's in 9th grade lol 👇 full interview with @EvanYadegari 0:00 - Introduction: The 14-Year-Old Founder Making $14K/Month 2:20 - The Yadegari Backstory: From Roblox Games to Gaming Sites (Totally Science) 3:53 - The Genesis of Locked: Turning Gen Z Self-Improvement Into a Video Game 5:14 - Vibe Coding Prototypes: Building in Figma & Scripting via Claude 6:07 - Why Influencer Marketing Crushed Paid Ads, Reddit, and X 7:22 - The "Day in the Life" Format Fit: Reaching Gen Z Audiences Automatically 8:06 - Video Deconstruction: A $3,000 Single-Post Case Study 9:08 - Breaking Down App Economics: Conversion Rates & Ad RPM Metrics 9:47 - Vanity vs. Reality: Identifying Engaged Audiences via Content Comments 11:20 - Outreaching at Scale: Managing Manual DMs, Account Limits, and Verification 12:55 - The Hooked DM Template: Forcing Creators From DMs to Negotiation Calls 13:37 - 4 Influencer Deal Structures (Standard, CPM, Minimum View Clause, Bonus) 14:46 - AI Growth Hack: Sourcing High-Leverage Outlier Formats with Spy Talk 15:50 - Constructing Minimum View Clauses & Campaign Creative Freedom 17:44 - Attribution Strategy: Monitoring App Store Download Spikes 18:23 - The Risk Mindset: Lessons Learned From Chasing Empty Vanity Metrics 20:04 - Evolving Creative Channels: Unblocked Gaming to Productivity Software 21:28 - What’s Next: Scaling 10X (The Shopify for Apps Engine) 22:38 - High School Entrepreneurship & Normanizing Gen Z Side Hustles 24:27 - 2026 Consumer App Trend Predictions: AI Model Arbitrage & Viral Party Formats 25:57 - The Speedrun Playbook: How to Launch to $10K/Month From Scratch
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- 04
@venturetwins ·
Creators are a critical distribution channel for most AI startups. But many don't know how to work with them effectively. I spoke with dozens of the top creators at Google i/o - some lessons learned and tips for startups 👇 1. It’s increasingly creators vs. traditional media for launch distribution. Last year, Google apparently invited ~25 creators and hundreds of press. This year, it was basically flipped: hundreds of creators, very little traditional press. Why? Creators are driving more impressions and more conversion to product launches. Traditional media can still matter for credibility, but a lot of launch coverage now turns into paywalled articles saying roughly the same thing as everyone else. Creators are often much better at making people actually care, click, try, and share. 2. Instagram is weirdly under-discussed for AI distribution. Almost every creator I met - regardless of whether they started on YouTube, X, or TikTok - was heavily investing in Instagram. And a few said they’re now posting AI content there first. The reason: it monetizes well, reaches a broad audience, and seems to drive more product curiosity with less reflexive hate than some other platforms. Also the cringey "comment ___ to get the link" format really works. I’ve seen this myself: a lot of AI product content ends up reaching a much wider mainstream audience on IG. For startups, especially consumer or prosumer AI companies, I’d take Instagram much more seriously than the tech world usually does. 3. Creators are flooded with identical-sounding AI startup pitches. Once creators found out I was an investor, one of the most common questions was: “How do you tell the difference between all these AI startups pitching the same agent / personal assistant / image generator?” That’s probably the biggest missed opportunity. Most creator outreach seems to be written as if the creator is just a distribution slot. But the good creators actually care about the product and need to understand what makes it different. For startups, it may be better to work with fewer creators who genuinely understand your wedge than to spray a generic campaign across a huge list. 4. Technical creators want to hear directly from the team. I talked to several creators with large YouTube channels focused on more technical topics, and many were tired of getting outreach from agencies that couldn’t explain what the product actually does. For the “big hitter” technical creators, founder / engineer / product lead outreach can matter a lot. It doesn’t scale, but that’s partly the point. If someone is going to explain your product to a highly technical audience, they need more than a one-page brief and a promo code. 5. Startups need to get smarter about creator metrics. I also heard a lot about how easy it is to manipulate the top-line numbers on your channel or account. Views and comments can look impressive while driving very little real engagement or conversion. A few metrics startups should probably ask for before paying meaningful dollars: % of viewers in the US / Canada, average view duration, link clicks, audience demographics, and examples of past campaigns that actually drove usage or signups.
- 05
@romanbuildsaas ·
What a crazy day. It’s our second-best free trial day ever. The first time came from a viral video. This time, it came from a B2B influencer campaign and I’m going to break it all down. B2B influencers on LinkedIn are massively underpriced. An Instagram influencer with a few thousand non-targeted followers can cost thousands of dollars. Meanwhile, a B2B influencer with an audience that can spend hundreds of thousands will sometimes charge just $200. There’s a huge market inefficiency here and it won’t last. Step 1: find the right influencers We identify around 50 B2B influencers. We analyze their engagement deeply: who likes, who comments. If it’s always the same people, we skip. Step 2: reach out We contact them one by one and ask if they do sponsored lead magnet posts. Simple pricing framework: • small: $200 (~100 comments on a lead magnet post) • mid: $500 (~500 comments) • large: $750 (1000+ comments) Step 3: do everything for them We handle everything: the post, the lead magnet, the instructions. To reduce friction, we pay upfront. Key rule: they must reply publicly to every single comment with the lead magnet. No sending via DMs. You can’t verify it, and most people won’t comment anyway. Step 4: capture the demand We use GojiberryAI to extract everyone who engaged (likes, comments), then reach out via email and LinkedIn with contextual messages. Step 5: watch the spike Result: a massive surge in signups. Simple strategy and massively underused. And right now, you can still buy high-quality attention for cheap.
- 06
@romanbuildsaas ·
I book 30+ B2B influencers every week. Here are the 6 tactics I use EVERY day to pay less and get even bigger ROI: 1/ The market method Ask for the price of 1 LinkedIn post. Then ask the price for 3 posts/month → the per-post price automatically drops. Then tell them: "OK for the 3 posts, but I'll pay for them one by one." You just saved 30% on your first payment. 2/ The "we do everything for you" Influencers always justify their price with creation time (post, visual, resources...). Reply: "OK, but we deliver EVERYTHING ready to go. Post written, image done, you just copy-paste." → 30-40% off the price. 3/ The upfront payment Offer: "I'll pay 100% upfront, but at -30%." Trust goes up, price goes down. 4/ The views guarantee Ask their average views per post. If they do 10,000, tell them: "If the post gets less than 10K views, you post a second one for free." Happened to us plenty of times... and the 2nd post often outperformed the 1st. Result: 2 posts for the price of 1. 5/ Your tool in the package If the influencer is your ICP, they NEED your tool. We've paid next to nothing for posts just by throwing in free access. 6/ The "post & forget" On a lead magnet post, tell them your team handles all the DMs and comments. They just post and forget. Less work for them = lower price for you. These 6 levers save us thousands of $$ every single week. Bookmark this before your next negotiation
- 07
@kyparus ·
when companies need to explain complex products, ads stop working so they go to influencers but manual influencer selection usually leads to the same "overhyped" top creators AI changes this by surfacing smaller expert creators with higher audience trust that's where the highest-ROI distribution lives
- 08
@PrettyFavy17 ·
Goodnight X Family I think the creator economy is entering a phase where knowledge and creativity will matter more than pure entertainment. That is why Clasho stands out to me. It creates a space where creators can be rewarded for producing content that educates, inspires, and drives real engagement, while giving brands a clearer way to identify people who genuinely influence their communities. The brand I would love to see on Clasho is NVIDIA. NVIDIA is shaping the future of AI, gaming, and digital creation. A Clasho campaign could invite creators to show how they use NVIDIA technology for video editing, 3D design, AI workflows, or game development. The most interesting part would be seeing creators from completely different fields use the same technology in unique ways. That kind of campaign would reward skill, creativity, and real-world application rather than just popularity, and I think that is exactly the direction creator marketing should be heading. @clashoAi
- 09
- 10
@alexxgrowth ·
i was texting a saas founder doing $12m/year last week he asked me this question: "if i move $50k from my ad budget into organic creator content, what should i realistically expect" so i thought i’d answer this publicly for any businesses curious: this is what our data shows across 500+ active campaigns: $50k on meta ads at current rates ($20 CPM) = roughly 2.5 million impressions the majority of those get skipped in under a second. average CTR around 3% $50k deployed through creators on Content Rewards = roughly 100-250 million organic impressions this depends on niche and budget restrictions (like post cap and CPM) CTR is the exact same AND the content lives on the platform indefinitely and continues generating views for weeks after posting (for free) so the raw reach is 15-35x greater and the engagement rate is the same (if not higher) but the part that actually matters for brands isn't even the reach or the clicks it's what happens in the comments when 500 different creators post about your product in the same week… the comment sections become organic conversations about your brand. real people asking questions, sharing opinions, tagging friends the algorithm sees that engagement and pushes the content further. but more importantly, the VIEWERS see real humans talking about your product in a way that no ad creative can manufacture a paid ad has zero comments or fake engagement a creator clip has 50-1000+ genuine comments per post that social proof compounds across hundreds of clips. suddenly your brand is everywhere and it looks like a cultural moment, not a marketing campaign the brands on our platform who understand this don't think of creator content as "cheaper ads." they think of it as manufacturing word-of-mouth at scale that reframe changes everything about how you approach it
- 11
@codyschneider ·
How to Build an AI Agent for Influencer Outreach Outreach is the grunt work of influencer marketing. You find creators, vet them, personalize every email, follow up multiple times, and hope they reply. Most brands burn out after week two. What if an AI agent could do 80% of this for you—on autopilot? Here's how to build one. The Problem With Manual Outreach Traditional influencer outreach is broken: Slow. One person can manage ~50 emails a day before quality drops. Generic. "Hey love your content!" gets ignored 97% of the time. Inconsistent. Follow-ups get forgotten. Relationships fall through the cracks. The influencer marketing industry is projected to hit $32.55 billion by 2025. Brands still doing outreach manually are getting left behind. The solution isn't another tool. It's an agent. AI Tools vs. AI Agents AI Tools Requires prompts for every task Helps you do the work AI Agents Executes multi-step workflows autonomously Does the work for you Your outreach agent should handle discovery, personalization, outreach, follow-ups, and tracking—without you touching the keyboard. The 3-Step Framework Step 1: Content-Matched Discovery Don't filter by follower count. That's vanity metrics. Your agent should analyze: Video content & hooks – Find creators whose aesthetic matches your brand Engagement quality – Comment sentiment, not just likes Audience demographics – Does their crowd align with your target customer? Pull this data from APIs like SociaVault or platform APIs directly. Feed your agent real-time data, not stale databases. Step 2: Hyper-Personalized Outreach This is where most outreach fails. Generic templates = generic results. Your agent should: Pull the creator's last 10 posts Extract their hashtags, themes, content style Generate a personalized pitch referencing their actual work Instead of: "Hey! Love your content. Want to collab?" Your agent sends: "Hey [Name], been following your [specific video]—the way you broke down [specific topic] was exactly what I needed. Our product [specific benefit] would be a natural fit for your audience." That gets responses. Step 3: Automated Follow-Ups (With Human Oversight) Outreach takes 5-7 touches to get a response. Your agent should: Schedule follow-ups based on response or silence Manage multiple outreach threads in a CRM Escalate to humans for contracts and negotiations Human-in-the-Loop (HITL) matters. Let the AI handle logistics. Humans sign off on contracts, creative briefs, and high-stakes decisions. What Your Agent Can Do ✅ Discover creators based on content, not follower count ✅ Analyze engagement quality and audience fit ✅ Generate personalized outreach emails ✅ Send initial outreach + automated follow-ups ✅ Track replies and update your CRM ✅ Flag opportunities needing human attention One person with this agent can do the work of an entire outreach team. The Bottom Line The brands winning at influencer marketing aren't working harder. They're working smarter. An AI outreach agent removes the busywork so you can focus on creative and relational parts that actually close deals. Start small. Build discovery first, then outreach. Layer in follow-ups and CRM integration as you go. The future of influencer marketing isn't more tools. It's agents that actually get stuff done.
- 12
@davidonchainx ·
I think UGC style marketing is such a huge growth opportunity for crypto and AI companies right now Up until now influencer marketing (especially in crypto) has always been boring and ineffective Most campaigns are just paying KOLs to say "wow this is so cool" Instead the campaigns should be about getting KOLs to show why it's cool The campaign should be about getting influencers to use the product and post content with proof (photos, videos using it, etc) This allows for way higher conversions, better brand discoverability, and more unique content on the timeline It also gives brands content that they can repurpose for other social platforms or use for paid ads The brands that figure how to build distribution machine with UGC campaigns will win
- 13
@orenmeetsworld ·
Brands should think of influencers as teams. - You have your superstar that you probably pay really well and you want to have on a long-term contract. Ideally 2. - You have a couple supporting players with varying degrees of efficacy. - You have a bench of people to support them. - You have rookies that you’re bringing up around them. - You’re constantly having tryouts of people that you want to audition or keep an eye on and you’re scouting. Excellent metaphor for creators. And applies for your internal on-camera + on-social media talent as well if you're running that playbook.
- 14
@SarahLevinger ·
17 things you need to know before you market to millennial women (from a millennial woman): 1. We are not 25 anymore. The oldest millennial woman is 45 this year. The youngest is around 30. We’re buying mortgages, running companies, managing perimenopause symptoms, and raising teenagers. Stop putting us in crop tops and calling it a day. 2. We’re loyal as hell (until you give us a reason not to be.) One bad CX experience and we’re gone… and we’re telling 12 friends in the group chat on the way out. 3. We grew up being marketed to harder than any generation before us. We can smell a “girlboss” campaign from 400 yards away so do not take the lazy way out on your marketing. 4. Gendered design is lazy and we kinda hate it. The brands winning us over (Liquid Death, Graza, Our Place) don’t have to (and shouldn’t) scream “THIS IS FOR THE GIRLS!!). Just make it something cool, we’ll buy, I promise. 5. We don’t want to be “empowered” by your yogurt (or supplement or SaaS tool…what have you.) We just want the product to be well made, the packaging to not embarrass us, and the brand to not have a weird CEO tweet history. 6. People say we’re teaching our kids not to consume stuff but that’s not it at all. We’re just teaching them to be selective because we entered the workforce during a recession, had babies in Covid and are currently raising them in another recession. Math is a thing. 7. Nostalgia is a cheat code… but only if it’s specific. “Remember the 90s?” = lazy. “Remember the exact sound of a Tamagotchi dying while you were at school?” = take my money. 8. We research. A LOT. Before I buy a $40 face wash I’ve read 14 Reddit threads, watched 20+ TikToks, and checked if the founder is still on her own skincare journey (spoiler: it’s better if she is). Make your content easy to find, I will consume it. 9. We don’t hate ads. We hate BAD ads. We will happily watch a 4-minute brand documentary. We have zero tolerance for insulting our intelligence (and infinite patience for ads that respect it.) 10. We are exhausted. Not quirky-tired. Actually exhausted. If your product saves us time, or more importantly: MENTAL LOAD, lead with that. Not “self-care,” that makes you look tone deaf. 11. Influencer marketing is ok, mega-influencers are not. The micro creator with 8K followers who actually uses your serum runs our freaking wallets. I will not watch anyone who claims to have the same problems as me while she drives around in her Maserati. 12. We’ve been sold “community” so many times the word is basically meaningless. A Facebook group is not a community. A Discord is not a community. Shared values + real utility in a place I already like to converse with people = community. Do the work. 13. Price transparency is non-negotiable. Hidden fees at checkout are the #1 way to lose us. We’ve been burned by enough “free trials” and subscriptions that don’t make sense to assume the worst until you prove otherwise. 14. We don’t want to participate in the “clean girl minimalism” trend. Millennial women contain all sorts of personalities (sometimes within one person): maximalists, cottagecore moms, techwear nerds, horse girls grown up. Segment carefully, we hate being put in a box. 15. We talk. Group chats, Marco Polo, Voxer, the moms’ Slack, the book club text chain…doesn’t matter where, if you’re not worth the money we’ll tell everyone we know. We’ll also tell everyone we know if you are. 16. We will absolutely pay more for better. The “millennial women are broke” narrative and the “millennial women splurge on $70 candles” narrative are both true. We’ll skip dinner out to buy the good skincare, I kid you not. Price isn’t the barrier for us, only perceived value is. 17. Hire us. Pay us. Put us on the team. Put us on the creative team, the leadership team, and the focus group. The brands that get millennial women right aren’t guessing. They’re hiring us to tell them. Should I do millennial men next? 🤔 👋🤖
- 15
@PrettyFavy17 ·
I think one of the most interesting trends in the creator economy is the rise of creators who do more than entertain. The creators gaining the most trust are the ones who can break down complicated topics, explain what is happening in real time, and help their audience make sense of fast moving industries. That is why Clasho stands out to me. It is building a system where creators can be rewarded for the quality and impact of their work, not just the size of their following. For brands and platforms, that creates a much better signal for discovering creators who can genuinely educate, influence, and engage their communities. The brand I would love to see on Clasho is Polymarket. Prediction markets have become one of the most fascinating intersections of information, finance, and public opinion. A Clasho campaign around Polymarket could encourage creators to analyze major events, explain how prediction markets work, compare market probabilities with real world news, or track how sentiment changes over time. What makes this especially interesting is that different creators would approach the same market from completely different angles. A sports creator could analyze a championship market, a politics creator could explain election probabilities, a crypto creator could discuss how traders react to major announcements, and a data creator could visualize how odds change throughout the day. That kind of campaign would produce content that is educational, timely, and genuinely useful for viewers. It would also reward creators who can research well, communicate clearly, and provide insight rather than simply repeat headlines. I believe that is the direction creator marketing should move toward. Instead of rewarding the loudest content, platforms should reward content that helps people understand the world a little better. If Clasho can continue surfacing creators who create that kind of value, it has the potential to become much more than a typical creator platform. @clashoAi
- 16
@galileowilson ·
Influencer marketing is a volume & content game. Don’t let anyone tell you otherwise. Some projects partner with ~10 influencers, push the same exact message across all of them, then wonder why every post performs trash. It’s predictable, the content is the same and posted at the same time... After running hundreds of campaigns, the pattern is very clear: the most successful campaigns are the ones with scale and variation.. You should work with dozens of creators, they must produce with their own voice, angle.. let them come up with it. Most posts will perform normally, some will underperform, but one or two should go viral. Those viral posts are where the majority of the ROI comes from. One strong viral post can outperform 50 average ones combined, which is fine. The key is not just volume tho, but smart volume. Start with defining your ideal customer profile: Who are they? Where do they spend time online? Who do they follow? Which influencer is influential in x niche? What format do they naturally engage with? Once you understand that, you brief creators in a way that aligns with - their - audience’s behavior The formula is simple: Clear ICP → many creators → authentic content → a few viral hits → outsized ROI
- 17
@iamberzio ·
Web3 influencer marketing has mostly meant prepaid attention dressed up as traction. Rally Beta feels different because it changes the payout rails, not just the pitch deck. With @RallyOnChain Beta, campaigns can distribute Rally Points, native tokens, or stablecoins directly based on measured performance. That flips the incentive stack. Creators are not chasing empty impressions anymore. They are competing for aligned capital tied to real outcomes. The scoring engine upgrade is what really stands out. The anti lazy filters actively downrank copy paste threads and generic noise. Contextual, original work is what scores. Quality is not subjective here. It is enforced by the system itself. That matters. When rewards are programmable and evaluation is stricter, both creators and projects have to level up. Better content. Better alignment. Better capital efficiency. Rally Beta is not a cosmetic refresh. It is infrastructure turning marketing into coordinated economics. That shift does not roll back.
- 18
@tibo_maker ·
influencer marketing is going to get very weird brands won’t pay creators to make content they’ll pay to license their face + distribution the brand writes the script generates the video with ai sends it to the creator for approval creator posts it it will be somewhat fake but actually so real than "who cares?"
- 19
@codyschneider ·
the most friction there is in the market the more underpriced you can find assets this is why influencer marketing works there isn't good influencer databases with pricing etc its an illiquid market which makes underpriced CPMs so all you have to do is cold email enough people and find the people underpricing themselves in the market how to make an agent do this use scrape creators API for creator research extract emails get cold email infra with inboxkit / hypertide + instantly ai / email bison validate scraped emails import to instantly ai via api manage inbox with an agent who negotiates price agent adds information to postgres DB filter by who gets more reach for cheapest then human does deal with people underpricing if you want deploy this exact agent more below
- 20
@StevenCravotta ·
I spent hours talking to the most CRACKED 18 year olds on Tiktok marketing. A few lessons I learned 💡 — If you don’t live on TikTok, hire someone who does. Your early 20's creator knows the platform better than your 10-year marketer. — Your best videos won’t look like ads. UGC that feels native converts best... sometimes the product isn’t even mentioned, the comments do the selling. — Hooks drive everything. 3 seconds to stop the scroll. Posted helps clients test 100+ hook variations per week to find what the algorithm loves. — When a format works, scale it. Remix top-performing templates across dozens of creators. Volume beats luck. — Manage creators like assets, not influencers. One person can oversee 100+ micro-creators through Posted’s Deals feature: test, measure, double down. — Consistency compounds. Multiple drops per week keep the algo warm and your data flowing. — Your best creators can become your community core. We’ve seen part-time UGC creators evolve into full-time creative partners running 6-figure ad pipelines. Posted’s system turns what used to take an in-house team of 5 into one operator + 50,000 creators. → Daily content drops → Real-time paid ad feedback → Zero wasted media spend
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@GeorgeLampro20 ·
Influencer marketing works if you can master these 4 things: 1. Sourcing: Can you differentiate what makes a good and bad influencer for your product) 2. Quantity: Can you find so many of these people and outreach to them that the shear amount of volume guarentees 3. Negotiation: Can you negotiate these deals for fair prices. 4. Creative Strategy: this is for both product and content. For product, is your product intuitive enough where a user can see your product for 5 seconds and instantly understand what it does. For content can you craft intelligent ways to subtly show your product so it doesnt kill organic reach while CTA'ing it hard enough so it still drives conversions. If your influencer marketing isnt working you can trace back the reason to these 4 and then focus on getting better at it.
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@connorrolain ·
we have an exciting new influencer partnership dropping soon @hexclad ... it's exciting because we've have never activated with this type of creator before. he's in the personal development, wealth building, and productivity niche. i've always had a hunch this niche can be high performing, but an @getoutersignal identified persona is what finally gave me the confidence to act on it. i read the persona description and knew EXACTLY who the perfect creator was... the hypothesis is simple. a high percentage of our customers already fall under this persona, and this has happened almost entirely organically. i believe there's a lot of performance upside by creating funnels targeting this persona specifically. or as @couuor puts it, we're only 1/4 of the way to the peak of this ad angle's local maximum.
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@0xRexnftcrypto ·
They're checking out a new idea at @3look_io. Brands have long partnered with creators who have huge followings, thinking more followers equal more value. But many accounts with 100K+ fans get almost no real interactions. So, what's better for brands: raw numbers or true engagement? This platform rewards based on content performance, like replies, chats, and community vibes. Brands seek genuine attention, not just posts. If it succeeds, influencer marketing could flip small creators with loyal crowds might outshine big, quiet ones. Soon, the key question may shift from "How many followers?" to "How much interaction can you drive?"
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@natiakourdadze ·
David Park literally shared the $10 Million AI SaaS Playbook for startup founders! Here're my notes: Step 1. Growth Framework Distribution → Get users aware (TikTok, IG Reels, Shorts) Conversion → Landing page → Trial → Paid Retention → Deliver promised value Focus in Playbook → Distribution via short-form video Step 2. Distribution System A. 3-Step Process Gather Ingredients → Study users, influencers, competitors Explore → Test hooks, creators, editing, accounts Exploit → Scale winning formats into series, paid ads, reposts B. Ingredients Ask users for IG handles → See who they follow Analyze what they consume (hooks, hashtags, tones) Step 3: Influencer Hunting Use TikTok/IG “Suggested Accounts” Spot influencers with viral ceiling (1M+ views), not floor Step 4: Analyze Competitor Content See what formats & hooks work in your niche Step 5: Test the variables On-camera person (influencers, friends, UGC creators) Hooks (text/voice in first second) Editing (fast cuts vs casual) Lighting (cinematic vs raw) Accounts (restart if “100–300 view hell”) Step 6: Collect Hook Examples “Top 10 reasons…” “I hate when…” “The worst mistake…” Step 7: Influencer Outreach Channels: Email + DMs (higher response rate) Best Practices: Personalize (“Loved your last video on…”) Concise, tailored, fan-first Follow-ups every few days Expect >50% rejection Keep compounding learnings Step 8: Deal Structures Align Incentives Split payments (half upfront, half performance-based) Track conversions via coupon codes / UTMs Bonuses for views or link clicks Bundle videos (3 for $1,200 vs 1 for $500) Multi-platform posting (+30% for TikTok + Reels) Strip extras (rights, exclusivity) to drop cost Aim for stable, repeat partnerships UGC (User-Generated Content) In-house creators 20–30 posts/month Base salary ~$2K/mo + performance incentives Hiring influencers as UGC creators $3–5K/mo + incentives Step 8: Structure Daily posting → stable + scalable Bonuses for conversions/views to avoid laziness Platforms: TikTok, IG Reels, YT Shorts Frequency: At least 1 post/day Optimization: Native hooks per platform No watermarks Start similar to influencer’s main content → then expand Cut flops, double down on winners Step 9: Scaling Virality Take one hit → Repurpose endlessly Slight tweaks → Different settings/hooks, same core video Example: POV “You have a paper due” (Jenny AI) You can get hundreds of millions of views Tens of thousands of paid users $500 K+ revenue from 1 series Multi-Account Strategy: 5+ accounts per platform Recreate viral hits across niches/languages Small accounts (50 followers) can outperform large ones Increase odds of hitting multiple TikTok “pockets” (engineering majors, literature majors, etc.) Extending Lifespan: Repost across accounts Translate videos (Mandarin, German, etc.) Push to meme pages / aggregator accounts ($50–100/post) Milk until saturation → restart cycle Step 10: Success Metrics Not just views/shares → but evangelized conversions 10K targeted views > 1M lukewarm views Optimize for ROI, not vanity metrics Extra effort & creativity wins Smaller niche influencers > big agents Tailor content to influencer’s existing viral series/jokes Early failures = tuition for later wins One great influencer/video can offset 10 failures 👉 This mindmap is your tactical blueprint: Research users + influencers Test hooks, creators, and content Negotiate smart influencer/UGC deals Post daily + track ruthlessly Milk viral hits into series + multi-accounts Reinvest learnings into next cycle
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@neilpatel ·
Almost everyone gets creator marketing backwards. They pay for the biggest following they can afford and spend it all at the top. But at the awareness stage, a creator saves you about 5% of the customer journey. At the interest stage, when someone's already considering a product like yours, it's 39%. That's the whole game. So don't blow it on one giant name. Spread it across 3 to 5 smaller creators who actually live in your category, where people are already decided. #InfluencerMarketing #CreatorEconomy #TikTokShop #Ecommerce #MarketingStrategy
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@Gavel_on_X ·
Creator Connect: before small creators celebrate, understand what X is actually launching You will probably read a lot of headlines saying that X is finally helping small creators and opening new monetization opportunities for everyone. That interpretation may be too optimistic. First, an important clarification: Creator Connect is not a new Creator Revenue program and it is not X paying creators directly. This is essentially a matching system for brands. A company comes to X with a campaign and specific goals. Instead of manually searching for influencers, X uses AI to scan the platform and identify creators that could fit those requirements. According to X, the system may consider things such as content themes, audience interests, conversations, trends and creator style. The goal is to help brands discover creators that they normally would not find through simple follower counts. For example, a laptop company may not want "technology creators" in general. It may specifically want creators discussing technology who also have a strong interest in Formula 1. Instead of searching manually through thousands of accounts, X wants AI to do that work. This is the part many people are presenting as good news. Until now, larger creators had a natural advantage because brands often looked at visibility first. Creator Connect could potentially give smaller niche creators more exposure if they have a specific audience and clear authority in a topic. However, there is a less discussed side of this announcement. Having 500, 2,000 or even 10,000 followers does not suddenly mean sponsorship opportunities will start appearing everywhere. X is not saying that small creators will be automatically rewarded. X is saying that AI will try to identify the most suitable creators. Suitability is very different from size. A creator with 5,000 followers focused entirely on AI tools could become attractive to a relevant company. A creator with 50,000 followers posting random trends, memes, motivation, politics and unrelated topics may be less useful for a specific campaign. The uncomfortable possibility is that creators may soon be competing not only for attention, but also for clarity. Humans can enjoy messy personalities. Algorithms usually prefer clear labels.
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@louiseivan ·
What does a founder week actually look like fully remote? Here's mine. > Built our scaling influencer strategy off 8 weeks of real testing data: what worked, what didn’t, how we should scale & ask our finance overlord @MarvinJanssen for budget approval for next iteration > Finalized the B2B partnership plan & send the pitch for initial review to one key partner and get sentiment to see what lands before revising > Wrote a rebuttal doc with our wiz engineer for an Italian KOL review that got key facts wrong > Building a 500-creator affiliate pipeline (still in progress) > Intro call with a new VCs, we founders are always raising > Handled customer support on Gorgias + stayed active replying on X > Scheduled 3 weeks of Ryder social content, this I further optimize per week btw. Content comes from @nishoutofwater > Pushed new Shopify orders, I do this everyday > Creating tailored offers for VIP creators I’ll manage personally > Suppored @nishoutofwater on our press > Still have finance + legal for the weekend list </3, I hate this part Thank God, we have @claudeai or I lose my hair > Also I'm training 6x/week now, checking my macros to be a fitboy + starting to build my Instagram. Go follow "@louise.ivan" I post about everything and 0 niche > I also started vibe coding a peptide trackers on claude If you ask what I do for fun… this is fun
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@alexabelonix ·
In 2025, creator spend became a real budget line, not a social media experiment. IAB projected $37B in U.S. creator ad spend. That means brands already understand something many founders still resist: trust travels through people faster than companies. A company account can explain. A founder account can transfer conviction. That does not mean every founder should become an influencer. It means the market now expects a human trust layer. Especially when products are complex, technical, early, expensive, or hard to understand.
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@theandreboso ·
Every day I spend a lot of time talking to founders to understand what’s working and what’s not working in marketing right now. Some things I’m seeing: - ChatGPT and other AI tools drive around 1/10 of new customers compared to Google. Less traffic but higher conversion rate. - Influencer spend seems to be really ramping up in B2B. No. 1 use case is launching either a new product or a new important feature. - More attention to optimizing what they already have. Sending emails to users. Activating new sign-ups. More attention to reducing churn. They all say they wish they did it sooner. - In B2C there’s a rush to create tons of UGC accounts to post short-form videos like there’s no tomorrow. - Everyone was scared by the idea of losing search traffic and invested more in social media, but returns so far have been mixed. Overall I have a feeling everyone thinks marketing is a lot harder than a few years ago.
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@neilpatel ·
Unilever scaled influencer spending 20x in two years. Consumers stopped trusting brand messaging so brands started following the trust instead. Creators who know their niche deeply are getting the deals. The ones who are loud but shallow are getting passed over. #DigitalMarketing #CreatorEconomy #ContentStrategy #InfluencerMarketing
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@Hockey_Stick_G ·
Gamma CEO Grant Lee : The most important thing is word of mouth. "The most important thing before you even worry about marketing and maybe even brand, you need to think about, do you have a product that has strong word of mouth." "If you get strong word of mouth right and the product itself kind of sells itself, everything else becomes easier." "If we had invested in that influencer marketing too early, it would have been a waste, but once we felt like we were getting strong word of mouth from the product, it's all been really net positive investment." @ChangChen_CC with @thisisgrantlee
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@iamshackelford ·
Before the end of this year AI will be able to fabricate authenticity so good it'll look completely real. This is gonna wreck absolute havoc on influencer marketing and authentic brand growth. The old playbook - grow a massive audience, influence them through content to sell products is on its way out if not already out, and soon every person will be able to create content that looks authentic using AI and “build an audience” BUT.. if AI can fabricate authenticity, then by definition it's not authentic anymore. So now if you are building a winning brand you have to build true customer stories you can’t fake. REAL, 100%, genuine, authentic testimonials/results/reviews. You can fake individual videos pretty easily now. But you can't fake it at scale (despite knowing a few doing it now) with massive legal risk. People will be made examples of this year, you lose everything and it’s because you trusted someone to make you AI ads. So how risky do you want to be vs how authentic do you want to be? The influencer model as we know it is pretty much dead. The future belongs to brands with genuine customer stories and founders willing to bet on real content over reproduced slop.
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@wearetheselect ·
Most brands think influencer whitelisting requires: - An influencer manager - Outreach campaigns - Signed contracts - Usage fee negotiations - A budget line item Here's what it actually requires if you do it right: 1. Go to your tagged posts on Instagram 2. Find accounts that have posted your product 3. Click into their profile 4. Copy their Instagram handle 5. Go to Meta's partnership portal and request ad access 6. They get a notification, click accept, done You now have ad access to their account. No contract. No fee. No relationship needed. I got 12 accounts to accept in one afternoon. 7 didn't respond. 1 declined. The ones who tagged your product unprompted already like you. The request is the lowest-friction ask you will ever make. Once they accept, you can run their existing posts as ads or upload new creative under their page. This is the most scrappy, high-leverage thing you can do right now. Lowest effort. Highest impact. Start this week.
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@kaleighf ·
I was recently hired through a creator matching platform to do a Twitter collab, and the brief they gave me was *incredibly* rigid. Shocker: it did not perform well. I am begging B2B software companies entering the influencer marketing landscape to stop being so prescriptive and trust people who've built audiences to use the formats they know work! Hats off to this person, though, for taking the feedback well.
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@kaleighf ·
Every creator media kit on earth says the same three things: -audience size -impressions -engagement rate I know, because mine did too. The problem with those numbers is that they're not great at differentiating what you bring to the table as a subject matter expert. When every creator is selling the same metric, the only variable left is price. You get compared on CPM and you get treated like inventory. There's a deeper problem with those metrics as well: they decay. A LinkedIn post earns its reach in about 48 hours, and then it's over. You bought a moment. A citation behaves in the opposite direction, however. The content sits in the layer these engines retrieve from, and it gets served again when someone asks a relevant question. If a creator leans into a specific topic they are gaining a foothold citations with, there's a real opportunity to become a go-to source within the engine as a named expert who talks about a specific topic. For the brands I want to work with, that distinction is important. The companies in my orbit—AI search platforms, SEO and AEO tooling, content infrastructure—are all staring at the same anxiety, which is that their category's discovery layer is moving from a results page to a generated answer. They're not really asking, "How do we get more impressions?" They're asking, "When a VP of marketing asks an AI assistant which tool solves this, do we come up?" Nobody's creator program has been measured against that question because the tooling to track and measure it hadn’t caught up yet. All of this work is so new! So now, I'm not offering a potential partner mere exposure to my audience anymore. I'm offering a documented position inside the source material AI engines are pulling from when someone asks about their category—and a report afterward showing where the work actually surfaced, on which platform, and for how long. 🔥 That reframes what I am (as a creator) on the org chart. Impressions are a social budget line item, approved by whoever runs content, sized like a one-off. Presence in AI answers is a visibility problem, and it touches the people responsible for organic growth, demand gen, and category positioning. Those are different budgets with longer horizons and more patience, and it's a conversation about strategy rather than a conversation about how many posts for how much.
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@etnshow ·
"UGC farms is the play right now" Will Caplan (@CaplanWill) on why UGC is replacing traditional paid influencer marketing: "CPMs are super low, you get thousands of videos and the algo just pushes out whichever one people like". "99% of the content doesn't go anywhere but thats fine. The cost is super low." "The traditional playbook pay-for-play, like pay for one post, is useless ubless you have big, big budgets... it can be, too much of a barrier for a lot of companies".
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@theandreboso ·
I told a friend he should run an influencer campaign to grow his app and he said they don’t even reply to his emails. He’s literally offering them money and they’re ignoring him. I know a few of them so I wanted to hear their side of the story. It looks like companies are so stressed by search traffic shrinking and social media not working as well as it used to that they’re going all in on influencers. They’re getting so many messages that they don’t even reply to most of them especially the pay per post ones. They want long term sponsorships or nothing. So if you're trying to break in don't lead with how much per post but pitch the long game opportunity.
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@TaylorLagace ·
I would rather pour my money down the drain than pay another influencer for a post. The pay-per-post model hasn't worked since 2020, but brands keep doing it anyway. You're dropping $5K on one Instagram story that disappears in 24 hours and drives maybe three clicks. Then you do it again next month because "we need influencer content." What actually works? - Seed the product. - Build real relationships. - Invite them to your events. - Create content from actual experiences instead of scripted posts. Here’s how we've used this to scale brands like M&Ms, WildBird, Animal House, without burning budgets on vanity posts.
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@0xTommyThomas ·
almost half of all influencer marketing money now goes to the smallest accounts. micro and nano, a lot of them under 10,000 followers. it isn't a discount play. on instagram, nano accounts run 2.7 to 3.9% engagement. celebrity accounts run 0.8 to 1.2%. the tier everyone treats as a waiting room is the tier that converts. 1,000 real followers is a rate card now.
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@theinfluence360 ·
𝗜𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝗿 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗕𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻 — 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗲𝗿𝗶𝗲𝘀 #𝟭 Influencer marketing is not ads. It’s trust at scale. Most companies treat influencers like Google Ads and expect instant sales. That’s not how it works. Influencers don’t push cold products to cold audiences. They transfer trust to a brand. There are 3 stages: 1. Awareness — people discover your brand 2. Consideration — they start trusting it 3. Conversion — they are ready to buy The mistake is using influencers only for direct sales without building the earlier stages. It’s not about big vs small influencers, it’s about the level of attention your product needs. Influencers don’t replace strategy. They accelerate trust. If you use them only as performance media, you’re overpaying for the wrong use of the channel.
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@nevmed ·
I've been seeing more and more local companies doing "influencer campaigns" by simply inviting influencers out and throwing a party for them. This is a new waterpark that's trying to generate buzz, and they're inviting anyone with 10,000+ followers to see it before anyone else. The crazy thing is if even ONE of these influencers posts something that goes mega viral, this can be ROI-positive for them instantly.
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@ActivateSignal ·
Arun Srinivas, Managing Director and Head of Meta in India, sits down with Varun Mayya and Pratyush Choudhury at Mumbai Tech Week to break down how Indians actually buy, and where AI and creators fit into it. With nearly three decades spanning FMCG at Hindustan Unilever and now leading Meta's India business, Arun has watched consumption shift from the Doordarshan era to a moment where a viewer in Kanpur follows the same creators and reels as one in Mumbai. He makes the case that the metro versus small-town divide is collapsing, that creators could influence up to a trillion dollars of purchases in India over the next decade, and that the real power of AI sits in the backend, not the buttons a user sees. In this conversation, they go deep on: 0:00 Intro: Arun on FMCG, Meta, and how Indians buy 0:45 Why fundamental consumer habits haven't changed 3:08 Indian vs global consumer: the blurring lines 4:53 Why rural and metro India now want the same thing 6:07 Influencer marketing: why it's just beginning 6:38 Why brands need a source of authority 8:03 The $1 trillion creator influence stat 8:33 PolicyBazaar and native-language creators 9:42 The US "clipping" trend and Meesho's 10,000 creators 11:16 Micro-dramas, viral series, and brand tie-ins 13:33 How tier-2 and tier-3 India uses Meta differently 15:25 Why founders and creators need to put themselves out there If you're a founder, marketer or builder thinking about AI, consumer behavior, or the creator economy, this one's for you. @aakrit @177pc @waitin4agi_ @Meta @metaindia
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@madhurahoval ·
tiktok broke traditional influencer marketing more creators shorter attention spans infinite content every second earns attention or dies your hook your visuals your words your text overlay all compete with the scroll high production lost relatability wins people want creators who feel like them same problems same curiosity same situation hence micro-creators beat influencers social authority means nothing if viewers can't see themselves in you and marketing that sounds like marketing dies immediately
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@iHarnoorSingh ·
interesting insights on influencer marketing 45% of brand influencer spend is now going to creators under 20k followers. It was 19.5% in 2021. coming from 8 yrs of making videos and I get that micro accounts average 3.2% engagement on shortform due to novelty, big tier influencers averages 1.1% same time 18x more cost but i disagree in long form context but yeah shortform kinda true ~ Emarketer
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@LightspeedIndia ·
Last Friday, @BaggaRohil hosted an insightful conversation with @tankots, Founder & CEO of @WisprFlow, on what it really takes to win at distribution in the AI-native era. What stood out: • The key lesson from their pivot wasn’t that hardware was wrong, but that sequencing matters - build the habit before the technology that depends on it. • Don’t ask users what they want. Watch what they do, and build for behavior you already see emerging. • Treat influencer marketing and organic word-of-mouth as distinct channels that compound. Go deep on one, systematize it, assign ownership, then layer the next. • The biggest unlock for Wispr Flow’s India GTM was leveraging Hinglish and messaging that proved value first, not features. • When it comes to growth: start with a clear ICP, find where they actually discover products (it’s usually not where you think), and validate channels with small (~$20K) experiments before doubling down. Thank you to everyone who made it. See you at the next session!
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@theinfluence360 ·
The crypto influencer marketing space doesn't have a people problem. It has an infrastructure problem. What's actually missing: 1. No standardized briefs — every campaign starts from scratch 2. No escrow protecting either side — someone always takes the trust risk 3. No shared performance data — nothing compounds between campaigns 4. No way to compare what you're actually getting per dollar across creators Both sides deserve better. That's what we're building.
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