Launched this week
Predflow AI
Your AI agent for ad performance
292 followers
Your AI agent for ad performance
292 followers
Predflow is an AI agent for performance marketers. It tells you what's happening with your ads, why it's happening, and what to do next. Connect your Meta, Google, and Shopify accounts and get actionable recommendations on creatives, budget, and attribution in minutes.
Predflow AI
Hi, I'm Gautam, co-founder of Predflow. This is our third pivot.
Before this, we built a customer intelligence platform for D2C brands. Segmentation, retention, predictive audiences. It didn't work. But every single brand we talked to had the same problem, and it had nothing to do with segmentation.
Their ads data was broken.
A brand would show me their Meta dashboard claiming 4.2x ROAS. Then they'd open Shopify and revenue was flat. Google was claiming credit for the same conversions. Three dashboards, three stories, but there was zero clarity.
I watched performance marketers spend hours every week trying to figure out why ROAS dropped, with no real answer. I watched founders ask "where did the money go?" and nobody could point to a number they trusted. I watched teams kill their best prospecting campaigns because last-click attribution made branded search look like the hero.
That's the problem we set out to solve. But once we started digging, we found a deeper issue nobody talks about.
The data itself is messy before any tool even touches it.
Here's what I mean. Every time someone clicks an ad and lands on your store, a little tag travels with them saying where they came from. These tags are typed in manually by whoever set up the campaign. Your marketing team types "Instagram." Your agency types "IG." Your affiliate partner types "NSD" because that's their internal shorthand. Six months later, you have dozens of tags that mean the same thing but look completely different to any software reading them.
Now when you ask "how much revenue came from affiliates?", every analytics tool gives you the wrong answer. Not because the tool is bad. Because it doesn't know that "NSD" is your affiliate partner. That knowledge only exists in someone's head.
We built a layer that fixes this. We call it a semantic layer. Think of it as a translation dictionary between what your raw data says and what it actually means in your business. You tell the system once: "NSD" means "Non-Stop Deals" and that's an affiliate. "bik" and "bitespeed" are both the same retention tool. From that point on, every report, every AI answer, every dashboard uses the clean version. You set it up once, it applies everywhere.
On top of that clean data layer, we built three things:
Attribution that actually reconciles. We connect to your ad accounts, your store through our own web pixel, and your analytics. Your attributed revenue can never exceed your actual revenue. When Meta says 25 orders and Shopify says 15, we show you the real number and why.
An AI agent that understands your business. Not a dashboard you stare at. An agent you ask questions. "Why did ROAS drop yesterday?" "How did innerwear CAC move month over month?" "Which campaigns should I kill?" It answers with real numbers because the data underneath is clean. A brand's head of marketing asked ours for CAC broken down by innerwear vs outerwear over 12 months. The agent returned the answer instantly because the semantic layer already knew which of their 200+ SKUs belonged to each category.
Creative intelligence. It scores your ads, catches fatigue before it tanks your ROAS, and tells you which hooks are working and which aren't. You can try this part for free right now at https://app.predflow.ai/ad_comparator_app, no signup needed.
We built this for performance marketers, D2C brand operators, and agencies managing ad spend across Meta and Google. We have 8 paying customers onboarded, from brands spending $5K/month to ones managing over $75K/month. The feedback that keeps coming back: "This is the first time my numbers actually made sense."
You can try it free at predflow.ai or install directly on Shopify at apps.shopify.com/predflow.
Would genuinely love your feedback. All of it helps.
@gautam_borad1 Congrats, quick question: for someone juggling Meta/Google/Shopify now, what's the fastest semantic layer win to test before full setup?
Predflow AI
Hi @swati_paliwal ! I would say the fastest win has to be the UTM cleanup. It's where the mess is worst and the payoff is immediate.
Pull every unique UTM source value from your Shopify orders, sort by order volume, and map just the top 20. Am sure that will be like 80% of your revenue explained correctly!
Takes maybe 30 minutes if someone on your team knows what the abbreviations mean. And once it's mapped, every metrics you look at is suddenly trustworthy in a way it wasn't before.
Most dashboards just show you numbers and leave you guessing. We're about to start running Meta and Google ads for our launch and the idea of getting actionable recommendations on creative and budget allocation from day one instead of burning through budget while we figure it out is really appealing. How much ad spend data does Predflow need before the recommendations become reliable? Like does it work for early campaigns with small budgets or does it need a certain volume first?
Predflow AI
Hi @ben_gend well it depends on which part you're asking about.
AI Creative scoring works from Day 1. Upload your creatives before you spend a dollar and Predflow will tell you what's wrong with the hook, the CTA, the awareness stage fit, etc. That's actually where most launch budgets get burned, and they are just fixable creative problems nobody caught.
For budget allocation and other recommendations, you need a few weeks of data.
The other thing that helps early-stage brands specifically: because your UTM data is clean from the start, you avoid the mess that most brands spend months trying to untangle later. And believe me its quite a task! Setting up the semantic layer before you launch means your Month 1 data is actually usable. Most brands come to us after the data is already broken.
tagging inconsistency is such an underrated data quality problem. curious how you handle conflicting definitions when multiple teams set tags differently?
Predflow AI
@mykola_kondratiuk great question! This is a hard problem to solve. First we surface every unique value alongside its count, then we let the brand define which mapping to take preference.
The harder edge case is when two teams have been using the same tag to mean different things. This one we genuinely can not resolve without a conversation with the brand.
For such problems we give the humans how hold the knowledge a clean interface to encode it once, so the Semantic Layer is consistent and clean.
Count-weighted surfacing is the right call — gives brands actual signal to work from instead of guesswork. Curious whether the system flags conflicts when two values are statistically tied, or does the brand always override?
FinCheck by Trezy
Product looks good, any chance you tackle LinkedIn ads at some point?
Predflow AI
Yes @jean_bonnenfant_tinct ! Its in our pipeline.
Congrats on shipping! Does the AI agent also suggest new audience segments or just optimize existing campaigns?
Predflow AI
Hi @ermakovich_sergey ! Currently our agents optimize whats already running (existing campaigns). Budget allocation, creative fatigue, channel-level ROAS, root cause when something drops.
Audience segment suggestions are on the roadmap but we haven't shipped that yet.
What we do have is cohort-level analysis: new vs repeat customers by source, channel, product type, etc.
This ends up surfacing a lot of the same insights indirectly. "Your Meta campaigns are acquiring first-time buyers at 3x the CAC of Google" is a budget insight but it's also telling you something about who each channel is reaching.
Demo looks flashy but when I sign up and try to connect my Meta and Shopify, it does nothing. What to do?
Decktopus AI
Looks promising guys, congrats on the launch
Predflow AI
Thank you @alara_akcasiz !!