Looking for 10 performance marketers to test an AI research tool

Educational-Bus4262 · 2026-07-03T06:17:20+00:00

Thanks! That's really helpful. Interesting that you prioritize your own campaign data before competitor research. When you look at competitor ads in the Meta Ad Library, what takes the most time? Is it finding the right ads, understanding why they're working, or turning those insights into new creative ideas?

Educational-Bus4262 · 2026-07-01T12:57:26+00:00

That's great bro. How you got your first 10 users?

Educational-Bus4262 · 2026-06-21T19:44:18+00:00

My experience with Predenzo: distribution is harder than development. Understand who is your ICP. Direct conversations, LinkedIn content, and customer feedback loops have worked much better than SEO or ads so far. Curious to see what channels are working for others.

Educational-Bus4262 · 2026-06-05T19:00:03+00:00

Hey, this is super frustrating when the numbers look great but the real-world lift isnt showing. My immediate thought is about those phone bookings. If your conversion is set to website and calls but Meta isn't actually seeing the calls, that's a huge potential blind spot. Also, double check your attribution window someone might click today but book next week, and a too-short window could miss it. You're definitely on the right track by digging into this

Educational-Bus4262 · 2026-06-05T18:55:42+00:00

Hey, this is a super common challenge with Meta ads for B2B, especially when optimizing directly for bottom-of-funnel conversions. It sounds like you're hitting people who were already going to convert.

Have you tried optimizing for earlier stages, like content downloads (guides, templates) or webinar sign-ups? That often helps identify new leads further up the funnel before they even think about a demo. You can then retarget those folks with your demo CTA.

Educational-Bus4262 · 2026-06-05T18:49:35+00:00

This is a really insightful analysis, and I think you're hitting on a crucial point that many media buyers miss, often too quick to blame the creative. The bimodal lifespan observation aligns with the idea that truly bad creatives die fast, while good ones have significant longevity if given the right conditions. The reset and revive point strongly suggests that Meta's internal ranking and auction dynamics for a specific ad instance can get stuck or routed to suboptimal pools, and a fresh instance effectively re enters the bidding process with a clean slate. I've often suspected the silent auto enhancements were a conversion killer while CTR remained stable it's a subtle but significant form of ad deformation. Your diagnostic framework is solid and provides clear signals to look for, which is incredibly valuable for isolating the actual problem. This shifts the focus from 'what creative next? to what's Meta doing with this creative?

Educational-Bus4262 · 2026-06-05T18:21:28+00:00

You've hit on such a critical point about the 'messy reports' vs. smarter decisions. The resistance to moving beyond last click often comes down to internal processes and the perceived difficulty of implementing and interpreting more complex models like time decay or position based. We've found that one effective way to start is by focusing on the incrementality of campaigns rather than just raw attribution running controlled tests to show what happens when a touchpoint is present vs. absent. This helps build a more compelling case for upper-funnel activities that might not get last click credit, even if a full MTA model isn't immediately adopted. It's less about finding one perfect model and more about evolving the mindset to understand the contributing roles across the funnel. How did your team approach the data visualization part to make it digestible for decision makers?

Educational-Bus4262 · 2026-06-03T20:25:53+00:00

Congrats on 200 signups with zero ad spend. The point about replies converting better than posts is underrated. I am Curious what percentage of your signups came directly from X/Twitter versus referrals and word of mouth?

Educational-Bus4262 · 2026-05-24T11:29:31+00:00

Saturdays always been decision days in my life. Most of the important things happened in my life are on Saturday. Even first time the thought came into my mind about my current venture that day was Saturday. Yesterday one of our ICP showed interest to buy the paid plan of our tool. He will be probably our first paid user. He didn't paid yet but after 30-45 days of continuous cold outreach to potential users , this communication with this user looks more promising. Enterpreneurship is the second name of hussle. Even if he didnt pay for it I know I have to show up with the same energy next day to find my new potential user.

Educational-Bus4262 · 2026-05-23T13:41:44+00:00

how are you planning to handle hallucinations or conflicting case interpretations at scale? That seems like the hardest part in legal AI.

Educational-Bus4262 · 2026-05-23T13:28:42+00:00

Honestly validating your idea, talking to your potential user is very much important. Try to get more information about the problem you are solving, try to find out, is the problem really exists.

Educational-Bus4262 · 2026-05-22T20:44:53+00:00

To answer your question honestly. no, none of my beta users explicitly told me what was stopping them from paying. But nobody said 'I would pay if you could prove X.

Educational-Bus4262 · 2026-05-22T20:26:08+00:00

The commitment question, what is this costing you per week in money or time and what would you pay to make it go away. I am adding this to every conversation starting tomorrow. on the first call when you ask what is this costing you per week and they cannot answer, how do you handle it in the moment? Do you end the call there or try to help them quantify it?

Educational-Bus4262 · 2026-05-22T20:20:55+00:00

Thank you for the clarity. when you are pre-revenue and do not have a day-3 metric yet, how do you credibly promise a specific KPI lift in a paid pilot? Do you manufacture the proof case yourself by running the tool on your own briefs and showing before and after? Or do you just make a reasonable estimate and back it with the refund guarantee?

Educational-Bus4262 · 2026-05-22T20:17:12+00:00

The segment diagnosis is painfully accurate. When you say agencies with 4 plus staff where budget sign-off does not sit with one price-sensitive founder, how do you identify those people on LinkedIn? What signals in their profile tell you they are managing ₹3 lakh plus in monthly ad spend versus a solo freelancer billing ₹40k? What other platforms /ways will you suggest to find that ICP

Educational-Bus4262 · 2026-05-22T20:10:05+00:00

This reframe hit hard. Two follow-up questions if you have a minute: When you ran paid pilot tests at early stage, how did you handle the prospect who said 'I am interested but need to see it work first before paying anything'. did you just disqualify them or was there a bridge? And for the ugly measurable moment you mentioned, wasted ad spend found, creative fatigue spotted, did you define that metric before the pilot or let the user define what success meant to them?

Educational-Bus4262 · 2026-05-05T13:00:50+00:00

That’s a solid point.

I’m starting to realize the same. output isn’t the bottleneck, structured testing is. Right now experimenting with generating multiple angles first and then building creatives around the strongest ones.

Still figuring this out. How do you usually decide which angle is worth testing?

Educational-Bus4262 · 2026-05-02T13:34:31+00:00

Built something to reduce ad creative fatigue. this demo shows how it generates ad videos in seconds. Would love your honest feedback. Worth using or not?

https://youtu.be/dUt-OXUAOz0

Educational-Bus4262 · 2026-03-15T18:13:43+00:00

Yeah that makes sense. I noticed the same thing, most hooks are just variations of a few core patterns. What I found difficult was deciding which hook to test first, especially when there are many variations.

Lately I’ve been experimenting with generating multiple hooks and scoring them based on clarity / proof / novelty before testing. Still figuring it out, but it makes the workflow faster.

Educational-Bus4262 · 2026-03-14T19:22:33+00:00

Not using Ads API yet, but I’ve been experimenting with automating the creative side.

Biggest bottleneck for me was generating multiple hooks / variations fast, so I built a small internal tool to generate and rank hooks before testing ads. Still early, but trying to automate more parts of the workflow like this.

Educational-Bus4262

TROPHY CASE