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.
Finance grew from 12% to 15% of affiliate spend, and the reflex when an offer stalls is always the same. Raise the payout. It rarely works, because publishers never worked in CPA to begin with. Here is the equation they actually run, and why a leaking approval funnel costs placement no rate increase can buy back.
Every finance program hits the same wall eventually. Volume was strong for a month, then it drifted. The publishers who were sending steady traffic went quiet. Nobody sent an angry email, nobody formally churned. The numbers just got smaller every week.
The reflex is to raise the payout. It buys about two weeks, and then the drift starts again.
This happens because the two sides of the deal are running different equations, and only one side ever says theirs out loud.
An advertiser negotiates CPA. It is a single number, it fits in a contract, and it feels like the lever that controls everything.
A publisher never looks at that number in isolation. They look at earnings per click. Payout, multiplied by conversion rate, multiplied by approval rate. Three variables, and the advertiser controls all three while only ever discussing the first.
Run it with real numbers. A $40 payout that approves one application in five earns less per click than a $25 payout that approves half. The publisher does not need a report to work this out. They see it in their own dashboard within a week or two, and they reallocate traffic to whatever pays more reliably. Quietly, because there is nothing to argue about. It is just arithmetic on their side of the wall.
The advertiser sees a volume drop and reaches for the only lever they think they have.
Financial services grew from 12% to 15% of affiliate spend, according to Fintel Connect's 2026 industry data. That sounds like good news for the category, and for advertisers it mostly is. For competition over publisher attention it is not.
More offers are now chasing the same publishers. Which means offers get evaluated faster, and dropped faster. A publisher with three loan offers in the same GEO does not run a patient test. They run all three for a week and keep the one with the best EPC.
Fintel's own framing of the problem is blunt. Marketers fixate on CPA levels. Publishers do not. They care about earnings per click, approval consistency, and how reliably an offer converts across their audience. Many financial programs stall precisely there: the payout looks attractive, the funnel leaks, EPC comes out weak, and placement erodes over time.
When an offer underperforms with good traffic, the problem is almost never the rate. In our experience across finance campaigns, it sits in one of four places.
The scoring model. The most common one, and the hardest to get anyone to look at. If the model rejects four out of five applications, no payout fixes the economics. The traffic was fine. It just never made it through the gate.
The application form. Every extra required field costs completions. Document upload on mobile costs more than anyone expects. This is measurable in an afternoon and almost nobody measures it.
The gap between the ad and the eligibility rules. If the creative implies broad access and the underwriting is narrow, publishers send exactly the audience the creative described, and underwriting rejects them. Both sides did their job. The offer still fails.
Approval speed. Slow decisions do not just delay the conversion. In a CPA model they delay the publisher's payment, and a publisher managing cash flow will move budget to a faster-settling offer without ever mentioning it.
Three questions, in this order.
What is the approval rate by traffic source, not in aggregate? An overall number of 40% can hide one source at 65% and another at 12%. Aggregates conceal exactly the thing you need to see.
Where does the application drop off? Step-level data on the form beats any assumption about creative quality.
How long does a decision take, and how long until the publisher gets paid? These are separate numbers and both affect placement.
If all three look healthy and volume is still falling, then the rate is genuinely uncompetitive and raising it will work. That case exists. It is just far rarer than the number of times the rate gets raised.
If publishers keep leaving after a strong start, the offer is not underpriced. It is leaking somewhere nobody has looked, and the rate increase is paying publishers to tolerate the leak a little longer.
The advertisers who scale in this vertical are not the ones paying the most. They are the ones whose approval funnel makes a mid-market payout worth more per click than a competitor's premium one. That is a product and underwriting problem wearing a marketing costume.
It is also the more defensible position. A rate advantage lasts until someone outbids you. A funnel advantage compounds, because every publisher who tests your offer arrives at the same conclusion on their own.
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How AdsLync works for advertisers and publishers: verticals, payout models, channels, regions and quality control.