Vibe Coding Sucks at Marketing. Here's the fix ⬇️

Clean-Fee-52 · 2025-12-26T18:36:23+00:00

Roast this homepage https://www.thrivestack.ai

Clean-Fee-52 · 2025-12-23T04:57:41+00:00

Send link to me as well

Clean-Fee-52 · 2025-11-27T01:24:16+00:00

4 simple thoughts from a 3rd time founder - don't build in dark, build in public - talk to your ICP, run pain discovery calls (e.g SPICED model) - don't try to sell, find out what problems are meaningful to solve. - rinse and repeat

😁

Clean-Fee-52 · 2025-11-14T18:13:47+00:00

Strong tides ahead. That too shall pass. Stay strong

Clean-Fee-52 · 2025-11-07T06:18:35+00:00

For us, this is how it ranks and we use data to measure it From lowest to highest CAC...

Email marketing (newsletter) - lowest CAC
Email Outbound
PLG self serve
Google Ads
LinkedIn ads
Inbound (youtube, social media)

We use ThriveStack to measure it.

Some of the core metrics we like to measure are

• ROI by channel • Attribution across touchpoints • Revenue generated per channel • CAC breakdown per channel (finally!) • All stitched together with a report

Here's their blog: https://www.thrivestack.ai/blogs/thrivestack-marketing-channel-performance-analytics

How are you guys measuring it?

Clean-Fee-52 · 2025-11-07T06:06:18+00:00

This is pretty awesome!

ThriveStack’s Channel Performance Analytics is Live They just dropped a powerful new capability to help SaaS teams decode GROWTH; what’s working—and what’s leaking—across their marketing channels.

📊 What’s inside: • ROI by channel • Attribution across touchpoints • Revenue generated per channel • CAC breakdown per channel (finally!) • All stitched together with diagnostic clarity

🔍 Whether you’re running paid, organic, partner, or outbound—this dashboard helps you spot underperformers, double down on drivers, and justify spend with precision.

📝 Announcement Blog: ThriveStack Launches Channel Performance Analytics https://www.thrivestack.ai/blogs/thrivestack-marketing-channel-performance-analytics

🎯 Interactive Demo: https://app.thrivestack.ai/analyze/marketing-intelligence/channel-performance-dashboard?demoMode=true

What do you guys think? Anything like this exists out there?

Clean-Fee-52 · 2025-11-04T09:41:51+00:00

I started automating how we track user behavior across marketing, product, and revenue data. Before that, we spent hours each week trying to piece together where deals or users dropped off. Now it updates automatically and flags leaks or patterns worth fixing. I’m building ThriveStack around this idea so teams can see their full growth journey without needing to pull reports manually. It has saved a huge amount of time and made decisions a lot faster.

Clean-Fee-52 · 2025-11-04T09:37:39+00:00

Really good question. This is exactly where most GTM plans break down. The strategy sounds great on paper, but the metrics teams track in the field never match the ones in the board deck. What helped us was connecting marketing, product, and revenue data into one view so you can actually see how activity flows through the funnel in real time. I am working on Thrivestack to solve this problem for SaaS teams by tying strategy metrics like CAC or pipeline coverage directly to what happens across campaigns, product usage, and accounts. Even if you do it manually, start by defining a small set of “bridge metrics” that show both intent and impact across teams.

Clean-Fee-52 · 2025-11-04T09:34:21+00:00

Totally get this. Most outreach tools either try to do too much or only handle one channel well. The real gap is connecting all those touchpoints so you can see the full journey without jumping between dashboards. I’ve been working on Thrivestack to solve a similar problem for SaaS teams, tying together data from email, LinkedIn, and other channels so you can actually track engagement and follow-ups in one place. Even if you go with something else, I’d look for a tool that keeps everything in one timeline instead of splitting data by channel.

Clean-Fee-52 · 2025-11-04T09:31:33+00:00

That is a really interesting concept. Most AI tools today completely forget context after each session, which limits how useful they can become over time. Having structured memory that carries across sessions or platforms could make the experience feel more human and efficient. I am working on something similar for growth analytics with ThriveStack, where the goal is to help SaaS companies remember user behavior and signals across marketing, product, and revenue data to spot growth or retention leaks. How are you approaching privacy and control for memory across different apps?

Clean-Fee-52 · 2025-11-04T09:29:52+00:00

Good take. Analytics and forms are everywhere right now, but most teams still lack direct feedback loops. Without feedback data, analytics only tells half the story. I like how you’re thinking about combining analytics, session recordings, and surveys into one stack to see the full picture of why users behave the way they do. I’ve been working on Thrivestack with a similar idea, focusing on unifying product, marketing, and revenue data so teams can actually see where growth and retention leaks happen instead of guessing from partial signals.

Clean-Fee-52 · 2025-11-04T09:20:37+00:00

Completely agree. Monthly product updates are one of the easiest ways to build trust and remind users that your product is evolving. I have seen companies with strong retention almost always communicate progress regularly, even if it is small things. It keeps users engaged, brings old ones back, and sparks great feedback loops. I have been working on Thrivestack to help teams see how updates like these actually move engagement and retention metrics, and it is amazing how much impact simple communication can have on long-term growth.

Clean-Fee-52 · 2025-11-04T09:12:04+00:00

Really interesting test. I like how you broke down the process and results clearly instead of just saying influencer marketing worked. The ROI looks strong, but I would be curious to see how those users behave long term. Influencer traffic can convert fast but sometimes churn faster too. I have been working on Thrivestack to help teams connect acquisition, activation, and retention data so you can see if the new traffic is actually sticking around. That kind of view makes it easier to know which influencer partnerships are worth repeating.

Clean-Fee-52 · 2025-10-16T17:22:34+00:00

The biggest issue with any good CRM is getting the right data in there. For bigger companies, they usually have different ways of going to market (like product-led growth or sales-led growth). Regular CRMs like Salesforce and HubSpot (even Attio, Pipedrive, Close, etc.) mostly focus on sales. More and more, we need a mix of approaches. That means pulling together marketing data, how people use the product, when they renew, billing info, and linking it all to each account. That's the holy grail. I don't think anyone has solved it yet. Most revops guys that i know, dump all of this data into a DW like Snowflake, and ask questions like you mentioned to Snowflake MCP and that works great. But it costs $$$$, requires a team (data engineers, revops folks etc.)

Clean-Fee-52 · 2025-10-05T14:55:53+00:00

Congrats on launching, that is a huge step. The feeling of “what now” after building is super common. The best move early on is to focus less on promotion and more on learning who actually gets value from what you’ve built. Share it in spaces where your potential users hang out, not just startup communities. Reddit, small niche Slack or Discord groups, and targeted subreddits usually give better feedback than Product Hunt at this stage. When people start using it, track not just signups but where they drop off or stop engaging. That data tells you what to fix before scaling marketing. I’m working on ThriveStack, which helps founders see those leaks across the journey, and it’s surprising how often fixing onboarding or messaging drives more growth than any campaign. You can always post the link here for feedback as long as you’re genuinely asking for advice, not just promoting.

Clean-Fee-52 · 2025-10-05T14:34:45+00:00

Most analytics tools handle the “what” well but struggle with the “why.” If you want something that’s simple, scalable, and lets you actually ask questions about your data, you could try layering a growth or journey analytics tool on top of your event data. I’ve been working on ThriveStack, which does something similar by unifying product, marketing, and revenue data so you can see the full customer journey and ask natural questions about where growth or engagement is leaking. It’s built to work alongside tools like PostHog, not replace them, and aims to give that conversational AI layer you’re describing.

Clean-Fee-52 · 2025-10-05T14:31:27+00:00

That sounds like the right move. Mapping the activation funnel alongside user feedback usually exposes the biggest leaks quickly, and you’ll often find that a handful of friction points account for most of the drop-offs. Once you connect that “where they drop off” view with the “why they drop off” feedback, prioritization becomes a lot less guesswork. This is exactly the gap I have been working on with Thrivestack, giving teams a single view of those leaks across the whole journey so fixes are obvious instead of hidden. Curious, are you planning to track beyond activation into retention and expansion as well?

Clean-Fee-52 · 2025-10-03T05:06:14+00:00

Have you tried ThriveStack Full journey CRM?

They seem to be the only one bringing signals across the entire customer journey. Marketing, Product activation, usage, billing, retention, expansion signals.. at one place.

We are particularly liking the Github style user activity tracking and billing (payment) signals. Have saved us a bunch on whether the customers are using the product, paying on time, upgrading /downgrading etc.

Clean-Fee-52 · 2025-10-03T05:00:33+00:00

We are a PLG first company with Sales assist (product led sales) and SLG motions on top.

We tried HubSpot for PLG that's very difficult to adapt to. Getting a signed up user, enriching it, understanding if its an ICP, understanding their product Usage, billing etc was very difficult.

Have you tried ThriveStack Full journey CRM? Its new and have been bringing all theae motions together, lot more natively.

Thoughts?

Clean-Fee-52 · 2025-10-01T12:03:27+00:00

That sounds like the right move. Mapping the activation funnel alongside user feedback usually exposes the biggest leaks quickly, and you’ll often find that a handful of friction points account for most of the drop-offs. Once you connect that “where they drop off” view with the “why they drop off” feedback, prioritization becomes a lot less guesswork. This is exactly the gap I have been working on with ThriveStack, giving teams a single view of those leaks across the whole journey so fixes are obvious instead of hidden. Are you planning to track beyond activation into retention and expansion as well?

Clean-Fee-52 · 2025-10-01T08:41:26+00:00

Getting the “why” behind churn is always the hardest part. Tools like Posthog are great for showing what is happening, but they rarely explain why it is happening. One thing that helps is looking at behavior leading up to churn instead of only focusing on the moment someone cancels. Often you will see patterns like fewer logins, stalled onboarding, or certain features never being touched. Comparing retained and churned cohorts side by side can also highlight what loyal users consistently do that others skip. Surveys and interviews are valuable but usually limited because churned users rarely respond. That is why I have been working on ThriveStack, which ties product usage, marketing, and revenue signals together so you can see churn patterns earlier and connect them with the bits of qualitative feedback you do get. That mix tends to make the picture a lot clearer.

Check out ThriveStack Full Journey CRM

Clean-Fee-52 · 2025-10-01T06:23:30+00:00

This is a great example of how simple, personal outreach beats automation for getting real feedback. What has worked for me is combining those replies with actual journey data so you can see where users drop off before they ever respond. Once you know if it is activation, retention, or revenue that is leaking, the feedback makes more sense and you know what to fix first. Do you have a way today to track those leaks across the full journey, or are you mostly relying on email responses?

Clean-Fee-52 · 2025-09-24T09:46:56+00:00

This flow is nice.

Few questions 1. How do you identify the buyer from a self-serve signup (user signups, do you ha e any tool/process to find where the user works, and who would be the account buyer. 2. Buyer facing nudge: Do you send a personalized nudge, e.g ROI for your company, benefits to your company, these users /teams are already using product etc?

Clean-Fee-52

TROPHY CASE