Liftoff vs Onmo Signal: Pre-Built Behavioral Audiences vs Algorithmic Targeting

You're a UA manager at a puzzle game studio. You need to find players who actually spend money inside games — not people who once watched a gaming TikTok.

Two platforms promise to help. They take fundamentally different approaches.

Liftoff runs your campaigns through its own ad network using machine learning to find users likely to convert. Onmo Signal gives you pre-built audience segments based on actual behavioral data — and you upload them to your existing Meta, TikTok, Snapchat, or Google ad accounts.

Same goal. Very different models. Here's how they compare — and when each one makes sense.

How Liftoff Works

Liftoff is a demand-side platform (DSP). You give it your budget, creative assets, and optimization goals. Its ML models bid on ad placements across its programmatic network, targeting users predicted to take post-install actions like purchases or subscriptions.

The upside: Liftoff's models optimize toward lifetime value, not just installs. One case study showed 20% higher Day-30 LTV compared to baseline channels.

The tradeoffs:

• You run campaigns through Liftoff's network. Your ads show up in Liftoff's inventory — not in your Meta or TikTok campaigns. This is a separate channel to manage, not an enhancement to your existing ones.
• ML needs runway. Liftoff's own guidance suggests budgets under $10K won't give the algorithm enough data to optimize. Short tests in new markets often underperform.
• Minimum spend requirements. Managed DSPs typically require significant commitments. If you're a 2-5 person UA team spending $30K/month across channels, dedicating a large portion to a single DSP is a real allocation decision.
• Black box targeting. You trust the algorithm to find the right users. You don't browse a catalog of audiences or see exactly who you're targeting before spending.

How Onmo Signal Works

Signal is an audience data platform. It doesn't run your campaigns — it gives you data you plug into the ad platforms you already use.

Here's the model: Signal holds 300M+ device IDs scored by actual behavioral data across 170,000+ apps. These are organized into 273 pre-built segments by app category, geography, and quality tier. You browse the catalog, pick the segments you want, and upload them directly to Meta, TikTok, Snapchat, or Google as Custom Audiences — one click.

For gaming UA specifically:

• 122M puzzle game players scored by actual in-app spend behavior
• 98M casual game players
• 37M casino/slots players
• Behavioral tiers: High In-App Spenders, Power Engagers, Premium Hardware users

You use these as direct targeting audiences or as seed audiences for lookalikes. The campaigns run in your existing ad accounts — your creative, your budget allocation, your optimization settings.

The Core Difference

Liftoff says: "Give us your budget and we'll find the right users."

Signal says: "Here are the users. Target them however you want, wherever you want."

This isn't about which is "better" in the abstract. It's about what you need:

When to Use Each

Choose Liftoff if:

• You have budget to dedicate to a separate programmatic channel
• You want fully managed campaign execution
• You're optimizing for post-install events and want LTV-based bidding
• You have enough spend ($10K+/month on Liftoff alone) for the ML to learn

Choose Signal if:

• You want to improve targeting quality inside Meta, TikTok, Snapchat, or Google — not add another channel
• Your UA team is small and can't manage another platform
• You want to see exactly who you're targeting before spending
• You're spending $10K–$100K/month and need every dollar to perform
• You need GCC/Saudi Arabia depth (Signal has 48M Saudi device IDs — rare for any data platform)

They're Not Mutually Exclusive

The most sophisticated UA teams will use both: Liftoff for programmatic scale and LTV-optimized buying, Signal to supercharge targeting on Meta and TikTok where most gaming UA budget already sits.

If you're running Meta campaigns for a puzzle game today, you're probably targeting Meta's "interested in puzzle games" audience. That audience includes anyone who engaged with puzzle content once. Signal's 122M puzzle game players are scored by actual in-app behavior — playing frequency, spend patterns, device quality.

That's a different signal entirely. And right now, it's free.

Browse the segment catalog and upload to your ad accounts at signal.onmoai.com.