
SwipeBuilder.io
Vibemyad
Swipekit
Adison.io
ConversionStudio
Lens by Foreplay.co
Foreplay V2
Automatically download and organize facebook ads from ad library before they disappear. Spot winning patterns and create better campaigns.

HockeyStack
Google Analytics
Content Analytics by Dreamdata
Attributer
Mixpanel
Rockerbox
Bizible
Multi-touch attribution that shows the model behind the number. 8 models compared side-by-side, a SQL-like DSL to write your own, and open-source SDKs for Ruby, Node, Python, and PHP. Runs server-side. Your data, not theirs.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | spreshapp.com | mbuzz.co |
| Pricing | ||
| Platforms | — | |
| Company | Startup from India · 1 - 9 employees · 2025 | Startup from Australia · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


SpreshApp is an ad intelligence and creative workflow platform built for performance marketers, creative strategists, and DTC teams who want to systematically capture, analyze, and reuse high-performing ads. At its core, SpreshApp helps users: Save ads from Facebook Ad Library and other sources...
mbuzz is multi-touch attribution for technical marketers who've stopped trusting their dashboard. Here's the thing nobody selling you attribution wants to say out loud: every tool runs a model under the hood, and the number it reports isn't "the data." It's that model's opinion of the data. Same...
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing SpreshApp and mbuzz.co.
SpreshApp's answer
spreshapp has mcp support, that no other ad save tool provides
mbuzz.co's answer:
Every attribution tool runs a model under the hood and reports its number like it came from physics. mbuzz is the only one that shows the model. Eight of them side by side, plus a SQL-like DSL to edit or write your own. You stop arguing about which channel works and start arguing about which model you should trust.
SpreshApp's answer
spreshapp is the most affordable solution available in the market for saving ads
mbuzz.co's answer:
Dreamdata, HockeyStack, and Northbeam all ship with a proprietary "data-driven" model you can't see inside. You pay $1,400–$5,000 a month to trust their math. mbuzz runs eight models you can inspect, lets you edit the logic in a SQL-like DSL, keeps your data exportable on every plan, and starts at $0. For a $1–100M company spending $20K–$1M a month on ads, that's the difference between renting an attribution tool and owning an attribution stack.
SpreshApp's answer
mbuzz.co's answer:
Technical marketers, marketing ops, growth engineers, and data-savvy CMOs at startups and mid-market SaaS, DTC, fintech, and healthtech companies spending $20K–$1M a month on paid media. Specifically the ones who've stopped trusting their dashboard — who want to audit the math themselves, not hear "trust our algorithm."
mbuzz.co's answer:
Years of wrestling with the limitations of various existing solutions, platform-inflated ROAS, and enterprise attribution tools that cost more than the budgets they were measuring. Every tool I tried picked one model and hid the math. I wanted to compare models, argue with them, and write my own rules — so I built one. mbuzz is the attribution platform I wished existed when I was trying to explain channel performance to a CFO who didn't believe the Meta pixel.
mbuzz.co's answer:
Ruby on Rails (backend + dashboard), PostgreSQL, Sidekiq for background jobs, Stimulus/Turbo for the frontend. Open-source SDKs in Ruby, Node, Python, and PHP. Deployed via Kamal on DigitalOcean.
Share your experience with using SpreshApp and mbuzz.co. For example, how are they different and which one is better?
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