Obvi

Chief Marketing Officer

Junglee Inc.

Advisor

AfterSell by Rokt

Ambassador

PrettyDamnQuick

GrapevineAI

Elevar

Gorgias

Proxima

Ghost3Media

Co-Founder

Mohawk Group, Inc.

Senior Marketing Analyst

CMO and Co-Founder at Obvi

Ashvin Melwani

Every CRO test I run at Obvi makes me nervous.

New landing page layout = Could tank conversion rate. Different hero image = Might hurt engagement. Adjust the pricing display = Could hurt profit per visitor.

Your hypothesis might be wrong. And you won't know until you've already lost money.

But this new add-on we’re testing is different. It's the rare CRO move with zero downside risk.

We just implemented ROKT Pay+, a new product from Aftersell by Rokt.  

It’s super simple. 

When customers hit your payment page, they see a banner offering cashback or rewards for selecting Apple Pay or PayPal.

Apple and PayPal then pay YOU when customers choose their wallet.

That's it. No behavior change required. No new friction added.

Your customers were already using these payment methods. Now you just get paid when they use them. Bonus: Apple Pay and PayPal come with payment processing fees anyway. ROKT Pay+ helps offset those costs.

Here’s why this is literally no-risk → 

-Already extensively A/B tested by Aftersell

-Zero negative impact on conversion (some brands see lift)

-Integrates natively with your existing checkout

-Banner designed to match your site's look and feel

-Customers already trust Apple Pay and PayPal

Aftersell is reporting ~$20-25 cents added per order from early launches.

We've been running Rokt Thanks awhile, and it adds $10k/month to our bottom line. That’s $120k+/year in pure profit.  

So when they told us about Pay+, it was an easy yes.

Look, I test landing pages weekly. I test new offers constantly. I'm always looking for ways to improve profit per session.

But those tests come with risk. This doesn't.

This is the closest thing I've found to free money in DTC:

-No operational lift

-No conversion risk (extensively tested)

-No new products to manage

-Premium brand association

We just started testing this, so I'll share our Obvi numbers once we have enough data.

But if you're running CRO tests and want something with actual upside and zero downside, this is worth looking at.

#ROKTpartner

CTV is either your next growth channel or your biggest budget black hole.

The difference comes down to one thing: whether you're buying real inventory or paying bots to watch your ads.

Here's the reality: Most CTV platforms operate like black boxes. Fragmented ID systems lose signal across devices. First-party data can't connect to reach controls. 

Your dashboard shows results, but you can't verify who actually watched.

Vibe.co just dropped their 2026 CTV Performance Playbook. It's not another "CTV is the future" think piece. It's a technical breakdown of what's broken and how to fix it.

What you'll get:

-How to retarget your existing customers and site visitors on streaming TV with the same precision as Meta

-How to use AI to test narrative, pacing, and offers at scale, then tie those tests directly to site sessions and purchases

-How over 20% of Vibe.co ads were AI-generated using Vibe Studio (and tips on best practices)

-Real incrementality data showing how brands achieve 55% lower CAC on CTV vs paid social

If you've been treating CTV like a brand awareness play because "it doesn't convert," this will change your perspective.

Click the link in the comments to get the full guide. 

#Vibepartner

Growth in 2026 comes down to one thing: getting more out of what you're already doing.

CPMs aren't coming down. Competition isn't slowing down. Which means the only real lever is optimization: using the customer feedback you're already collecting, tightening up underperforming flows, stacking 2% improvements until they compound into real growth.

That's what I'm covering December 9th at 11 AM ET along with some of the sharpest operators in DTC. Maestra.io is hosting this one-hour session where we're each breaking down the small wins that are actually moving the needle right now.

We're not talking theory here. Every tactic comes with real numbers from brands that have already run it. Battle-tested plays you can actually use.

I'll be walking through the exact AI prompts I use to turn customer data into high-performing creative. Plus you'll hear from:

→ Tamanna Bawa – Tech Partner Manager at Triple Whale (analytics platform trusted by 45,000+ brands)

→ Kyle Cannon – Marketing Manager at Furniture Fair (9-figure revenue, 13 stores + online, 20+ years in retail)

→ Jonathan Cairo – Head of Solutions & Integrations at CustomersAI (5 years in event data & identity tracking for Skims, Netflix, Adidas, Unilever)

→ Andrei Rebrov 🚀 – Co-founder at Finsi, ex-Scentbird (scaled to 500K paying subscribers)

5 speakers, 15 proven plays, 1 hour.

You'll walk away with something you can implement immediately. And if none of the tactics fit your brand, Maestra will audit your funnel and map three fixes for you.

Forget the typical webinar format. This one's cameras on, live questions, real conversation. The kind where someone drops a tactic and three other people immediately jump in with how they'd tweak it for their brand.

(Oh, and Maestra's sending everyone a $10 Starbucks card when you register. Might as well grab that coffee.)

This is one hour you don't want to miss if you're trying to break through your current growth ceiling.

See you there. 

Register using the link in comments 👇

GetAds

GetAds delivers frictionless, conversion-driven creatives from a professional team that understands advertising.

Founder

Fantom

• Develop high-growth strategies for SaaS companies
• Substantiate ROI & sustainable growth
• Frame high converting sales funnels
• Enabling SaaS companies to become market leaders while increasing MRR/ARR
• Increasing SaaS subscription volume

Janover (NASDAQ: JNVR)

Helping drive growth through various channels and innitiatives.

Growth Engineer

GrowthMentor

GrowthMentor is a curated platform of vetted startup founders and growth marketing mentors offering business advice, feedback, and coaching. Join to find your next mentor at growthmentor.com

As a mentor, I help SaaS entrepreneurs achieve their goals by providing 1:1 mentoring in the area of paid advertising to understand their business and ways to scale.

Check out my GrowthMentor profile here: https://geni.us/GrowthMentor

Growth Mentor (Paid Ads)

• Optimize campaign performance against established KPIs
•  Track, measure and report online marketing performance
•  Evaluate and recommend new online marketing opportunities
•  Collaborate with clients and internal teams on a regular basis
•  Manage budgets and bids for specific clients on multiple platforms including Google AdWords,
Bing Ads, and Facebook Ads
•  Provide constructive feedback regarding landing page performance / conversion rate
optimization
•  Work with clients and internal stakeholders to implement new campaigns and strategies
•  Assist the Paid Media Manager and Director of Marketing with new builds, sales opportunities
and ongoing client management
•  Perform traffic analysis in Google Analytics related to paid digital traffic and other sources /
mediums

Paid Media Specialist

Serendipit Consulting

• Research, build, manage, and optimize PPC/AdWords campaigns for clients
• Use Google Data Studio to create visually appealing reports for external and internal use
• Use Google Tag Manager to inject tags into client websites to efficiently track performance and debug
• Create weekly & monthly performance reports
• Analyzing data from applicable platforms to discover trends & areas for improvement
• Analyzing keyword bids, day parting, device, & location targeting in AdWords to make recommendations
• Developing ad copy for Text Ad campaigns, as well as Ad Extensions for AdWords
• Adding negative keywords to reduce irrelevant traffic
• Staying current on best practices and updates to Paid Search Advertising
• Testing & optimizing PPC campaigns on AdWords & Facebook platforms
• Landing page optimization

Paid Search | Social Media Specialist

• Create, manage, and optimize Facebook advertising campaigns for multiple clients
• Research, build, manage, and optimize PPC/AdWords campaigns for clients
• Implement Google Analytics to client’s websites
• Use Google Data Studio to create visually appealing reports for external and internal use
• Use Google Tag Manager to inject tags into client websites to efficiently track performance and debug
• Create landing pages for digital marketing campaigns
• Keep track of social media calendar and alignment with other marketing/communication timelines
• Create and execute social media strategy that stimulates engagement for clients 
• Forge consistent brand messaging and apply brand design standards for clients
• Craft new content and deploy through all social media channels 
• Work with different departments to come up with new, fresh ideas
• Work with different internal teams and partners to develop social media "voice" for clients
• Strategically develop social media KPIs, standards and goals 
• Creative development for crafting creative marketing strategies with different departments 
• Work with online influencers for clients
• Assess and analyze social conversion ratios
• Present work to internal team and clients

Social Media Specialist

ACTIV APPAREL

•	Initiative and Creativity
•	Negotiate prices with Global manufacturers and suppliers
•	Sales Experience
•	Customer Service
•	Social Media Marketing
•	Adobe Photoshop Experience
•	Experience with Facebook Pages
•	Facebook/Twitter Ads and Ad Campaigns
•	Instagram Marketing Tactics and Strategy
•	Google Analytics
•	Google AdWords
•	Mailchimp Experience
•       PR
•       Magazine Interviews/Publications (Online)
•       Order Fulfillment 
•       Product Procurement 
•       Influencer Reach Out and Marketing

CEO/Founder

Paragon Mortgage Corporation

•	Social Media Marketing
•	Website Management
•	Updating and Writing Content for our Marketing Collateral
•	Creating and Managing Email Blasts
•	Creating Micro-Marketing Ideas for Individual Properties and implementing them
•	Thinking Outside the Box to Advertise services
•	Finding Unique Marketing Opportunities aimed in the Western US
•	Efficiently Create and Upload Content Throughout the Web
•	Mail Chimp experience
•       Wordpress Editting 
•       Google Analytics Implementation 
•       SEO/Keyword Searching
•       Adobe InDesign (Basic Experience) 
•       Direct research to create Comp Reports on Excel

Digital Marketing Manager

👋 Hi, I'm Luis Camacho - Founder @ GetAds (getads.co)

We help brands and agencies scale their conversion-driven creative output with our team of heavily vetted designers & video editors, expertly trained in advertising & consumer psychology.

Our team has worked with agencies and brands in various industries and business models. From DTC in the CPG space to biotech and B2B Service and SaaS in the fintech industry and mental health space to everything in between. If you're an agency or brand struggling with creative output, our team can help.

Here are some testimonials: 

"Spent a lot of time and money looking for a solution to our agency's ad creative output. I'm happy to say I think we've found the answer. Not only are GetAds ad creatives top quality, but they actually perform better than anything/anyone we've used before! Highly recommend!" - Mike W. ⭐️⭐️⭐️⭐️⭐️

"As an ad agency owner, I need unlimited creative that’s affordable, easy to use, and delivers high-quality results for my clients. GetAds is that. Their web portal is super easy to use, the price is the best in the business, and their team of designers are the best there is, bar none. I’m even impressed with their turnaround time. That’s all I need. Thanks, GetAds!" - Carlos C. ⭐️⭐️⭐️⭐️⭐️

"We are very very satisfied and will continue to use Get Ads for our business. They are almost fully integrated into our business via slack which is amazing and learn over time what we like and dislike." - Jake S. ⭐️⭐️⭐️⭐️⭐️

"GetAds has been a fantastic addition to our design suite. We are able to get strong B2B creative graphics/videos quickly with the GetAds team." - Josh L. ⭐️⭐️⭐️⭐️⭐️

Side note, our newest product helps media buyers & creative teams organize, collaborate, and save ad inspiration in one place. If you want to supercharge your ad creative workflow, sign up, it's free (forever) → getads.co/app

Want to chat? Shoot me a DM :)

Luis Camacho

Stop being consistent if you want to win Andromeda.

Meta’s new algo doesn’t reward a perfectly polished single-voice ad. It rewards creative variety that helps it map tiny audience niches. In short - inconsistency is a feature, not a bug.

Here’s a playbook for reaching new audiences fast:

1️⃣ Create 3 creative dialects  
↳ Cultural - speaks identity and values. Functional - solves a specific pain. Contrarian - challenges assumptions. Each one signals a different audience cluster.

2️⃣ Run contradiction pairs, not clones  
↳ Pair two ads that say opposite things about the same product. Let Andromeda decide which cluster prefers which message. You’re not being messy - you’re mapping behavior.

3️⃣ Deploy in controlled batches  
↳ 12 creatives across 3 dialects for 7 days. Don’t flood with 50 variants. Learn which dialect lands, then scale winning dialects into new formats.

4️⃣ Optimize for audience value, not just CPA  
↳ Track which dialects produce repeat buyers and higher LTV. The cheapest click can be the worst customer.

5️⃣ Rotate dialects weekly  
↳ Prevent creative tunnel vision. Rotation keeps the algorithm exploring and your funnel full of different customer types.

Meta’s update turned variety into currency. Use it intentionally - design creative that argues with itself and watch new audiences show up.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Conversion-Driven Creatives On-Demand for agencies & brands with our streamlined process & platform. ⚡️

If you treat reviews like trophies you put on a shelf, you’re leaving ad ideas on the floor.

Here’s the uncomfortable truth: your customers already wrote your next 50 ads for you. You just need to read them like a creative director, not a product manager.

How to mine reviews for ad concepts that actually convert:

1️⃣ Collect and clean  
↳ Export all reviews, filter by recency and purchase intent, remove noise.

2️⃣ Cluster by emotion, not feature  
↳ Use word clouds + n-gram frequency to find emotion clusters: relief, pride, disbelief, anger. Those are your creative muscles.

3️⃣ Pull the verbs and phrasing customers actually use  
↳ Verbs = motion. “Stopped waking,” “saved 2 hours,” “no more back pain.” Build hooks from those exact lines.

4️⃣ Invent the ad formats from the clusters  
↳ Relief = immediate benefit UGC. Pride = aspirational brand film. Disbelief = discrediting angle. Anger = objection-handling FAQ ad.

5️⃣ Use negative reviews deliberately  
↳ Turn a complaint into a discrediting hook: “Thought it would be cheap? Here’s why it outperformed my $300 pill.” Controversial but powerful.

Quick examples (pulled straight from reviews):  
- Hook: “I stopped waking up at 3am.”  
- Pre-story: “Tried every supplement for 2 years…”  
- Close: “Here’s how it actually works for busy people.”

Test in small batches - 5–7 concepts per cluster - and double down on the winners.

If you only use star ratings in your ads, you’re wasting the real signal: language. Want a template to turn reviews into 50 ready-to-run ad ideas? Follow, like, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Happy Thanksgiving. Controversial take: say thanks for the things that annoyed you this year.

Most gratitude posts celebrate the wins. I want to celebrate the friction.

1️⃣ Constraints beat freedom  
↳ The deadline you hated forced you to choose what mattered. Without it you’d still be indecisive.

2️⃣ Criticism that felt unfair  
↳ The person who ripped your idea apart gave you the clearest path to improve. Pain + honesty = growth.

3️⃣ The boring, repeatable work  
↳ The tasks you complain about build the compounding habits everyone pretends are sexy. They quietly scale results.

4️⃣ The people who left  
↳ When someone walked away you were forced to redesign the team, values, or priorities. That purge created space for better fits.

This year I’m grateful for a brutal feedback session, a night of tedious customer support, and one teammate who didn’t sugarcoat problems. None of it felt good in the moment. All of it made the next year easier.

If you want a small exercise today: pick one person or one painful moment from 2025 and send a real thank you. Not a generic message, a sentence that names what they forced you to face.

Who are you secretly grateful for that annoyed you? Drop a name or a one-line thank you below.

Stop hunting for the one “hero” ad.

Teach Andromeda what to do instead.

Controversial take: the fastest path to scale under Meta’s Andromeda is not perfect creative. It’s intentional, fast failures that teach the model what to sequence and who to show it to.

Here’s a practical playbook to test smarter and faster:

1️⃣ Create micro-hooks, not finishes
↳ Launch 12–20 short, rough hook variations per week. Think 3-word hooks, 5s captions, raw UGC snippets. Purpose: give the model entry points to match to user intent.

2️⃣ Run controlled chains
↳ Group creatives into sequences: Hook → Pre-story → Product Intro → Close. Test chains, not isolated ads. Andromeda optimizes sequences, so feed it logical paths.

3️⃣ Prune like a surgeon
↳ Evaluate after 48-72 hours. Kill the bottom 50% by engagement and early sequence conversion. Reinvest in the top 10% and iterate variants of those winners.

4️⃣ Teach negatives
↳ Include 10% “intentional fail” creatives that surface who won’t convert. These negative signals are as valuable as winners for the model’s personalization.

5️⃣ Measure sequence metrics, not just CPA
↳ Track first-touch engagement, mid-funnel lift, and sequence completion rate. These tell you if Andromeda is learning your journey.

The secret: speed + signal quality beats polish. Give the algorithm lots of diverse, directional data and let it stitch journeys you could never handcraft.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

If your idea of creative diversity is 10 color-swapped versions of the same ad, you are pretending to scale.

Real creative diversity breaks expectations. It forces both people and algorithms to learn something new about your brand.

Here’s the contrarian play that actually moves the needle:

1️⃣ Stop chasing tiny CTR wins
↳ Small edits optimize the ad, not the account. You need account-level signals that say "this brand is worth exploring."

2️⃣ Use a contrast ratio, not a volume mantra
↳ For every batch, aim for 25-40% high-contrast creatives - different hook, format, persona, or story. The rest are anchors that protect conversion efficiency.

3️⃣ Batch structure that works
↳ Example 6-ad batch:
- 3 Anchors (trusted messaging)
- 2 Variants (new hooks or angles)
- 1 Oddball (off-brand format or persona to expand reach)

4️⃣ Measure beyond day 7 CPA
↳ Novel creatives will sometimes underperform short-term. Track account-level metrics - reach growth, new audience ROAS, and LTV cohorts. That’s where novelty pays off.

Why this is underrated
Because most teams optimize per-ad, not for the ecosystem. The algorithm rewards accounts that consistently introduce meaningful novelty. Users reward brands that surprise them in a believable way.

If you want predictable scale, don’t just add more ads. Add more contrast.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Stop polishing ads like luxury watches.

Make them Lego instead.

If you want faster learning on Meta, speed is not about more people or overnight designers. It is about modular creativity you can recombine and launch at scale.

Here’s the system that actually speeds up testing and scaling:

1️⃣ Build primitives, not finished ads
↳ Separate Hook clips, Product shots, Context b-roll, and CTA overlays. Each is a reusable block. Snap 5 hooks + 4 visuals + 3 CTAs = 60 unique creatives in hours.

2️⃣ Automate assembly
↳ Use a templating tool or a simple script to render combinations. No designer babysitting. The first version can look rough. That is fine.

3️⃣ Define kill rules before launch
↳ If CTR < X or CPR > Y by day 3, retire that combo. Predefined exits keep your pipeline fresh and avoid tribal attachment to “clever” concepts.

4️⃣ Prioritize learn metrics over vanity
↳ Track micro signals - first 3 seconds retention, CTA clicks, comment sentiment - not just first purchase CPA. Those tell you what to iterate.

5️⃣ Refresh like clockwork
↳ Replace 20% of live primitives weekly. Momentum requires steady input, not heroic marathons.

Controversial take: a perfect ad that never tested is just expensive opinion. Launch ugly. Learn fast. Iterate to beautiful.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Controversial: Your best ad should repel most people.

Hear me out.

If you want Meta to scale your account, stop hunting for universal appeal. The algorithm rewards creative that signals who to show it to. That means your job is to create angles that attract the *right* people and repel the rest.

Here’s a practical way to diversify angles for true Meta scale:

1️⃣ Map orthogonal axes, not micro-variations  
↳ Emotion, Logic, Identity, Utility. Each axis hits different user psychology. Don’t just tweak the headline.

2️⃣ Build angle sets per segment  
↳ For one segment, create 4 angles - one per axis. Repeat for 3+ segments. That gives the algorithm distinct entry points to learn from.

3️⃣ Launch controlled volume, not chaos  
↳ 12–20 creatives per segment, launched in small batches. Let Meta stitch journey paths across those angles.

4️⃣ Measure resonance, not vanity metrics  
↳ Track engagement-to-conversion ratios by angle. If an angle gets clicks but poor LTV, let it die or repurpose as a top-of-funnel filter.

Bonus controversial tweak: intentionally include 1-2 polarizing angles to speed up audience sorting. They’ll drive higher LTV even if CPA looks worse day 1.

Stop multiplying similar creatives. Multiply psychologies.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling to create angle libraries fast? We can help.

If your ad pretends to be content, you're lying to customers.

Native-style creative works—until people hit checkout and feel tricked. That emotional whiplash is why some "stealth" ads get clicks but zero repeat purchases.

Here’s a contrarian rule: ads that don’t look like ads should still behave like honest sellers.

1️⃣ Signal commercial intent early
↳ Drop one unmistakable cue in the first 3 seconds: a price, a tiny product shot, or “sponsored” copy. It protects trust and filters out bargain-seekers.

2️⃣ Deliver the soft reveal before the hook fades
↳ Use the middle of the video to transition from story to solution. The viewer should think, “Oh cool — this is actually relevant,” not “I was duped.”

3️⃣ Pre-qualify, don’t trick
↳ Use micro-qualifiers: “For busy parents,” “Under $50,” “Ships in 48 hours.” These small signals shape the customer you attract—and their LTV.

4️⃣ Measure beyond CPA
↳ Track 30–90 day LTV, not just first-click costs. The cheapest acquisition is useless if customers churn.

The controversial takeaway: full disguise is a churn multiplier. Blend native storytelling with tiny, honest commercial cues and you’ll get clicks that actually convert—and stick.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Controversial take: clients trust GetAds because we lose on purpose.

Not because we enjoy losses. Because strategic losses are the fastest path to real, repeatable wins.

Here’s why that brittle honesty builds trust faster than slick case studies:

1️⃣ We design experiments to fail fast

↳ Small bets that surface the 80% of wrong assumptions. Then we double down on the 20% that actually move the business.

2️⃣ We share the ugly data, not just the wins

↳ Minute-level dashboards, failed creative notes, and playbook updates. Clients see the process, not just polished outcomes.

3️⃣ Creative accountability = shared risk

↳ When we underperform, it’s on us to fix it — not the client.

4️⃣ Copy-first, hypothesis-driven creative

↳ We write the message before we make it pretty. That prevents “vibe” briefs and saves weeks of wasted design.

5️⃣ We hand over a living system, not a one-off ad

↳ SOPs, templates, and a sequencing library clients can scale themselves. Knowledge transfer turns reliance into independence.

Trust is earned when you’re willing to fail in public, learn faster, and refuse to hide the process.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Keeping all creative in-house is the silent growth tax your CFO never signed up for.

Here’s the unpopular truth: scaling brands that refuse to outsource creative are voluntarily shrinking their addressable ROI.

Why? Because internal teams hit an idea ceiling. Same people, same feedback loops, same tired angles. You need an external pressure valve to inject novelty at scale.

Here’s what outsourced creative partners actually buy you:

1️⃣ Speed as a strategy  
↳ They run parallel bets. More live variations = faster signal. Best-in-class partners push 10–25 meaningful variations per $100k spend monthly. In-house teams usually hit 3–6.

2️⃣ Cross-brand playbooks  
↳ Good partners bring tactics that worked for unrelated categories. That cross-pollination shrinks your learning curve.

3️⃣ Budget elasticity  
↳ Outsourcing turns fixed headcount into variable spend. Scale up when a funnel works, scale down when it doesn’t.

4️⃣ Creative immune system  
↳ External teams spot stale messaging you’ve normalized. They’re the early-warning system for creative decay.

How to make outsourcing work (not cost you headaches):

• Start with a sprint: 30 days, 10+ variations.  
• Insist on a shared learning vault: test results, hypotheses, assets.  
• KPI = Creative Throughput not just CPM: track new winning variants per month.  
• Avoid full handoff. Keep brand governance, outsource iteration and volume.

Controversial take: If you fear losing brand voice, the bigger risk is keeping a mono-culture that slowly kills conversion.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling to scale creative output? We help brands build reliable outsourced engines.

Stop trying to make people feel good.

Nice-feeling ads get taps. They rarely build customers.

Here’s the contrarian truth: emotion is a filter, not just a faucet. Use it to *pre-qualify* the people who actually become valuable customers.

3 steps to weaponize emotion in your creatives:

1️⃣ Match emotion to LTV, not vanity metrics
↳ Aspirational stories build loyal buyers who come back. Frustration or urgency drives immediate purchase from problem-aware customers. Discount-focused joy attracts deal hunters who churn. Pick the emotion that maps to the customer you actually want at day 90.

2️⃣ Build a 3-second emotional arc
↳ Hook: create a micro-friction (annoyance, surprise, tiny fear) that stops the scroll. Pre-story: prove you get the pain. Payoff: relief or aspiration tied to the product. Emotions must resolve to action.

3️⃣ Rotate the dominant emotion like creative inventory
↳ Test the same visual with 3 emotional cores each week. Algorithms reward variety and your funnel learns which psychology scales. Track cohort LTV, not just CPA.

Quick measurement hacks:
• Watch time + comment sentiment = emotional resonance
• Cohort conversion at 30/90 days = true value
• CTR alone = vanity

Controversial but true: “feel-good” virality is sexy, but it rarely builds businesses. Use emotion to filter, commit, and retain.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

If you think gifting creative starts in November, you are already late.

Gifting is not a last-minute creative brief. It is a sequence you must seed weeks before shoppers hit checkout. Here’s what most brands miss and how to fix it fast.

1️⃣ Dual-audience creative
↳ Buyers and recipients are different people. One ad must sell convenience, status, and deadline to the purchaser. Another must sell delight and unboxing joy to the recipient. Prepare BOTH.

2️⃣ Timeline reality
↳ UGC, influencer kits, and wrapped-product shoots take 6-12 weeks to land reliably. If you haven’t started, you’re buying rush fees and mediocre results.

3️⃣ Three must-have assets
↳ Authentic unboxing (first 3 seconds hook)
↳ Reaction reels (recipient POV)
↳ Last-minute digital alternatives (e-gift, express shipping)

4️⃣ Ops + creative sync
↳ Tag visuals with SKU, shipping windows, and gift-pack options. If the creative promises next-day shipping but ops can’t deliver, you break trust.

5️⃣ Scale for sequencing
↳ Batch 10–20 variants per channel. Feed them into a journey: awareness (gift idea) → consideration (why this makes a great gift) → conversion (add gift wrap, choose delivery date).

Here’s the controversial part: the person who receives your gift is now a converted customer before they ever see your ad. Treat the unboxing as onboarding, not packaging.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with gifting bottlenecks? We can help.

We stopped guessing why an ad worked and our creative reviews got faster and sharper.
Last week’s “winner” had clicks but flat revenue.

The room started the usual debate: hook, offer, pacing. I ran it through GoMarble AI and it told us why in plain English.

It literally watched the ad and broke down what moved the needle.

1️⃣ What changed  

↳ GoMarble AI explains the why behind performance. It calls out the opening 3 seconds, hook clarity, captions vs VO, product reveal timing, offer framing, and the CTA that actually drove action.  

↳ It’s data-connected to Meta Ads, Google Ads, GA4, and Shopify, so the creative story matches real outcomes.

2️⃣ What I ask it  

↳ “Explain why these 5 ads worked for new customers. Call out patterns and drop-off moments. Recommend 3 tests.”  

↳ It returns a clean narrative plus a test plan I can hand to an editor or UGC creator.

3️⃣ Outcomes you can repeat  

↳ Briefs built from proven patterns, not vibes  

↳ Weekly creative reviews that end with a test plan  

↳ Less busywork, more decisions

4️⃣ Free resources for you  

↳ Winning Ads Creative Playbook: 500+ top ads across 20 categories analyzed to reveal patterns, hooks, and psychological triggers you can reuse  

↳ GoMarble AI Agents: 20+ one-click agents, including Creative Performance Audit, Hook & Angle Testing, and Creative Fatigue Detection

Sponsored by GoMarble AI.  Demo video below.  Link in comments.

Comment “GoMarble AI” and I’ll DM you 14-day access, the Playbook, and my prompt pack.

Your best creative is probably your worst teacher.

Here’s the problem: teams treat a winning ad like gospel. They clone it, tweak the thumbnail, and wonder why growth stalls. Winners teach you one thing. Variation teaches you everything.

If you want lasting performance, treat creative variation like a research program, not a file folder.

1️⃣ Design for signals, not just clicks
↳ Each new creative should isolate one psychological lever: curiosity, trust, scarcity, or identity. Don’t mix variables. Learn faster when each ad is a single-question experiment.

2️⃣ Create contrast sets, not clones
↳ For every safe, on-brand ad drop a polar opposite: low-polish, ultra-specific, or even polarizing. The outlier often uncovers an audience you never knew existed.

3️⃣ Budget like a portfolio
↳ 60% scale winners, 30% iterate, 10% disrupt. The 10% is where compounding breakthroughs come from. If you never risk, you never discover.

4️⃣ Optimize for cohort quality, not just CPA
↳ Track on-site engagement, repeat purchases, and return rate by creative. Same CPA can mean very different LTVs. Let those cohort signals guide creative investment.

Variation is not about quantity. It is about purposeful diversity that teaches the algorithm who your real customers are.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling to build a disciplined creative program? We can help.

Meta’s Andromeda update didn’t just change bidding. It started punishing sameness.

If you’re feeding the algorithm 20 versions of the same hero shot with different CTAs, you’re burning cash and getting lauded for noise, not novelty.

Here’s the less-talked-about truth about Andromeda:
1️⃣ It prioritizes semantic variety, not aesthetic tweaks
↳ Slight color or text changes won’t be treated as “new”. The system rewards different stories, different hooks, different psychologies.

2️⃣ The cheapest way to win is to be meaningfully different
↳ Swap the narrative, not just the frame. UGC confession, data-led claim, founder rant, demo — each of those is a separate signal.

3️⃣ Build creative orthogonality, not volume
↳ Launch 6 truly distinct concepts, not 60 micro-variants. Test orthogonal ideas that teach the algorithm new user-level signals.

4️⃣ Track novelty, not just CTR
↳ Add a “distinctiveness” KPI. If your new creative lowers CPM but keeps CPA flat, you just taught Andromeda a new path to the same buyers. Aim for improved LTV signals instead.

Controversial, but practical: under Andromeda, lazy iteration loses to cheap creativity. If you want scale, stop polishing the same pebble and start mining new rocks.

Found this useful? Like, follow, and repost ♻️ so others can too!

ps. struggling with creative bottlenecks? We can help.

Board Member & CCO (Nasdaq: DFDV); Chairman & CEO @ Janover (formerly Nasdaq: JNVR); Board Member (NYSE: SOUL) | YPO | NATSEC Fellow | 🇺🇸🇮🇱

hiring a b2b saas account executive in boca/delray (f/t in office like it's 2018). if you crush at sales, dm me. otherwise repost/share/tag.

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ashvin Melwani's LinkedIn Performance

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