In-App &
Mobile
Installs and in-app events at scale —
from first open to paying users.
AdsLync is an international traffic company connecting apps and digital businesses with new customers.
We run our own media buying and work with direct sources.
That makes the distance from first click to paying customer
shorter, with clean, trackable traffic ready to scale.
Pay only for outcomes. We launch, optimise and
protect campaigns with MMP-level transparency.
We select offers individually for your sources,
geos and wishlist. You get only what fits your
traffic, never a flood of random deals.
Advertisers get real users who install, register and pay. Publishers get paid fairly for quality traffic. When the right offer meets the right source, both sides grow — every day, worldwide.
Deep expertise in verticals where one
quality user is worth a thousand clicks.
Installs and in-app events at scale —
from first open to paying users.
Banking, microcredit, neobanks and wallets — from install to funded account.
Paying players, not just downloads.
First orders and repeat buyers.
Registrations and subscriptions.
Qualified leads for service offers.
Every case is measured in the client's MMP.
Here is what the right mix of channels delivered.
Goals, KPIs, geos and
payout model agreed.
We select a pool of relevant
partners and start with small
volumes, syncing with you regularly.
We check traffic quality daily and keep only the sources that meet your KPIs.
We scale the sources
that proved their results.
Paying users acquired for our clients, by region.
Hover a region to see it on the map.Tap a region to see it on the map.
To connect ambitious businesses with the right people, technology and opportunities to create measurable growth.
We answer for your result — not just
for our part of the process. If the
numbers don't work, we adjust
sources and strategy until they do.
Transparent terms, KPIs and rates.
Honest feedback on traffic quality —
you always know what’s going on.
A good deal works for both sides —
and keeps working as we both grow.
We build partnerships, not one-off buys.
Tell us your goal and geo. We'll come back
with sources, rates and a launch plan.
Stay updated with industry trends and best practices.
ironSource Ads stopped serving direct demand in April, and plenty of media plans still list it. That is the small problem. The bigger one is treating in-app platforms as interchangeable inventory when each optimizes toward something different. What that means for buyers, and for publishers matching offers to their traffic.
Open almost any in-app media plan and you will find the same four names sitting in a row like interchangeable options. Unity. AppLovin. ironSource. Moloco. Pick two, split the budget, compare CPI at the end of the month.
There are two problems with that row. One of the names no longer does what the plan assumes. And the other three were never the same kind of thing to begin with.
ironSource Ads was sunset on April 30, 2026. The network stopped serving direct demand campaigns on that date. Unity LevelPlay continues as a mediation platform, and it remains the ironSource mediation stack with Unity engineering layered on top, but ironSource as a demand source you buy on is gone.
A second change landed earlier in the year. Waterfall-only support for Unity Ads ended on January 31, 2026, pushing setups toward bidding.
Neither of these was a secret. Both still show up in plans written from memory, which is a useful reminder that platform knowledge decays faster than most buying teams update it.
The more important point survives the news. These platforms are not variations on the same inventory. They are different systems with different economics, and an offer meets a different decision-maker on each one.
Mediation with optimized access to Unity's own demand, and native integration for anything built in the Unity engine. Playable creative performs structurally well here, which matters because playables select for a very specific kind of user intent. Someone who plays your ad before installing is not the same prospect as someone who taps through a static banner.
AXON is the machine learning system behind the bidding, and it learns from AppLovin's own demand. There is also a structural coupling worth knowing about: AppLovin restricts its ROAS user acquisition campaigns to MAX publishers. That is not a setting you can configure around. It shapes which inventory your campaign can reach before you write a single line of targeting.
A DSP rather than an owned network, bidding programmatically across exchanges. This is the one most often misunderstood, because its performance is a direct function of the signal you feed it. Send install postbacks only and it optimizes toward installs, which is exactly what you will get. Send day 7 and day 30 events and it optimizes toward retention. The platform is not better or worse than the others. It is more literal.
Here is the sequence that plays out constantly. An offer launches across two or three platforms at once. Two weeks later someone opens a spreadsheet, compares CPI across the row, and switches off the underperformers.
Three things went wrong in that sequence.
The models were still learning. Optimization systems need weeks of data before their output means anything, and a two week read is often a read of the learning period rather than the offer.
CPI was the wrong column. It is the one number that is comparable across platforms, which is precisely why it gets used, and it says nothing about what the traffic does on day 30.
The comparison assumed one performance profile. An offer does not have one. It has one per platform, shaped by what that platform optimizes toward and which users its inventory selects for.
This is why our intake form asks which platforms a publisher actually buys on, before anything else gets discussed. It is a more useful matching signal than the vertical.
A publisher running playables through LevelPlay and a publisher running programmatic through a DSP are not two versions of the same partner, even when both describe themselves as in-app. The offers that work for them are different offers. Sending both the same list wastes everyone's time and produces exactly the kind of weak test described above.
The matching question is not what traffic do you have. It is what does your traffic get optimized toward, and does this offer reward that.
If an offer underperforms on one platform and works on another, that is normal and it is information, not failure. If you are comparing platforms on CPI alone, you are comparing the least meaningful number available. And if your media plan still lists a demand source that stopped serving in April, it is worth asking what else in it was written from memory.
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How AdsLync works for advertisers and publishers: verticals, payout models, channels, regions and quality control.