We connect growth.

AdsLync is an international traffic company connecting apps and digital businesses with new customers.

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(01) Why AdsLyncAt a glance

Real users.
Fair payouts.

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.

(02) The modelTwo sides → one result
Advertisers

Publishers
Match
0%
For advertisers

Scale users.
Not risk.

Pay only for outcomes. We launch, optimise and
protect campaigns with MMP-level transparency.

For publishers

Exclusive offers.
Better rates.

We select offers individually for your sources,
geos and wishlist. You get only what fits your
traffic, never a flood of random deals.

Result

Real users.
Fair payouts.

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.

1,000+Campaigns
8,000+Sources
5Regions
5Payout models
(03) VerticalsDrag / scroll →

Where performance
matters most.

Deep expertise in verticals where one
quality user is worth a thousand clicks.

01 — CoreCPI · CPA

In-App &
Mobile

Installs and in-app events at scale —
from first open to paying users.

InstallRegistrationRetention
02CPA

Finance & Fintech

Banking, microcredit, neobanks and wallets — from install to funded account.

BankingMicrocreditNeobanksWalletsCards
03CPA

Games

Paying players, not just downloads.

FTDLevelROAS
04CPA

E-commerce

First orders and repeat buyers.

First orderRepeat
05CPL · CPA

Dating

Registrations and subscriptions.

Sub
06CPL

Services

Qualified leads for service offers.

Lead
(04) CasesSelected campaigns

Numbers,
not promises.

Every case is measured in the client's MMP.
Here is what the right mix of channels delivered.

Credit app

CPA
Geos
Ukraine
Period
1 year
Goal
Approved first loans at a fixed CPA
Channels
In-app, OEM, DSP
55k+Registrations / year
19%Avg. CR, registration → first loan

E-commerce app

CPI · CPA
Geos
EU, UK
Period
6 months
Goal
First orders from new app users at a fixed CPA
Channels
In-app, DSP, Premium sources
9k+First purchases / 6 months
6%Retention rate, D30

Health & Beauty app

CPI · CPA
Geos
UAE, Saudi Arabia
Period
5 months
Goal
First purchases from new app users at a fixed CPA
Channels
In-app, OEM, DSP
40k+Installs / 5 months
6%Install → purchase

Digital Banking

CPA
Geos
Tier-1
Period
10 months
Goal
Card holders with funded accounts, not just registrations
Channels
OEM, in-app, DSP
13k+Funded accounts
−30%Cost per funded account
(05) ProcessBrief → scale

Four steps.
No guesswork.

01

Brief

Goals, KPIs, geos and
payout model agreed.

02

Setup

We select a pool of relevant
partners and start with small
volumes, syncing with you regularly.

03

Test

We check traffic quality daily and keep only the sources that meet your KPIs.

04

Scale

We scale the sources
that proved their results.

Pay per →CPICPACPLRevShareHybrid
(06) ReachFive regions · one team

Local traffic.
Worldwide.

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.

Europe, UK & USA350k+Tier-1 · US · UK · DACH · Nordics · Southern Europe
Ukraine & Eastern Europe210k+UA · PL · RO · CZ · Baltics
LATAM180k+MX · BR · CO · PE · AR · CL
MENA120k+GCC · Egypt · Maghreb · Türkiye
APAC165k+Central & South Asia · KZ · UZ · IN · PK · BD
Paying users acquired1M+ total
Tracked via →AppsFlyerAdjustBranchS2S postbacks
(07) Who we areMission & values

Our mission

To connect ambitious businesses with the right people, technology and opportunities to create measurable growth.

Our promise to partnersWhat you can count on

Own the outcome

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.

Make it clear

Transparent terms, KPIs and rates.
Honest feedback on traffic quality —
you always know what’s going on.

Win and grow together

A good deal works for both sides —
and keeps working as we both grow.
We build partnerships, not one-off buys.

(08) Start

Let's
sync.

Tell us your goal and geo. We'll come back
with sources, rates and a launch plan.

← All articlesIndustry Insights
June 24, 20262 min read

Mobile Ad Fraud Didn't Get Bigger in 2026. It Got Polite.

Mobile ad fraud didn't become bigger in 2026—it became harder to detect. Powered by agentic AI, SDK spoofing, and increasingly human-like behavior patterns, fraudulent traffic now blends seamlessly with legitimate users, forcing marketers to rethink how they evaluate traffic quality and attribution.

Mobile in-app ad fraud didn't get louder this year. It got polite.

The bots scroll now. They pause. They fake reading time and a little hesitation before they tap, the same way a tired person does at 11pm. That's the whole shift in 2026. Fraud stopped looking like fraud.

The blacklist era is over

The old defense was simple. Block the bad IPs, the known device farms, the obvious junk. A blacklist worked when fraud was lazy.

It isn't lazy anymore. Agentic AI gave fraud a human rhythm, and SDK spoofing fabricates the rest. Devices, sessions, events that never happened, all reported as real. The traffic that drains a budget today passes every basic filter, because it was built to pass it.

Finance feels it first. High payouts pull the smartest fraud, and install hijacking quietly steals the credit for users you actually paid to win somewhere else. When the offer is worth more, the fraud trying to fake it gets better too.

Clean signals stopped meaning clean

We stopped trusting clean-looking signals a while ago. A perfect click tells you almost nothing now. So we watch what a user does on day 7 and day 30 instead.

Bots don't stick around. Real people do. They open the app again, they convert late, they behave like users because they are users. The tell was never the click. It's what happens after it.

This is the part most teams still underprice. Fraud detection moved from the moment of the tap to the weeks after it. If your system passes or fails traffic on day zero, you're grading the disguise, not the user.

The new question

Fraud got smarter this year. Most filters didn't. The gap between those two is where budgets go to die, quietly, on traffic that looks flawless on a dashboard.

So the real question isn't how clean your traffic looks today. It's how your team spots fraud that's designed to look perfect.


Work with AdsLync

Running an app or a traffic source? Let's plan your next launch together.

Let's connect

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