The shortest version of RZR's strategy can be read on two screens. On the small one, a person installs Angry Birds 2. On the large one, somebody watches an ad on an LG television. RZR wants both moments inside the same performance ledger - measured, priced and optimized according to what happens next, not celebrated as two unrelated bursts of attention.
That is the practical meaning of the new name. RZR is the company formerly known as Aarki, founded in 2010 by Sid Bhatt and Levon Budagyan after working together at personal-finance company Mint. An early account places the founders in a 6-by-6 cubicle, building into the first smartphone advertising boom. Aarki began with creative optimization, grew into a mobile demand-side platform and learned the peculiar economics of getting people to install, open, pay and return to apps.
Sixteen years later, the phone is still central, but it is no longer the border. Aarki officially became RZR in March 2026, presenting itself as one connected system across mobile user acquisition, retargeting and connected television. The name is supposed to suggest precision and speed. The more consequential change is architectural: instead of letting each channel learn alone, RZR says signals from each campaign can improve decisions across the rest.
The wager
Stop treating the customer like three different people
Performance marketing has accumulated a crowded toolbox. One vendor finds new users. Another chases old ones. A television platform sells reach in the living room. Every dashboard declares a victory in its own dialect. The app marketer is left to decide whether any of it produced a customer worth keeping.
RZR's answer is Encore, its AI-supervised machine-learning platform. The system evaluates an ad opportunity in real time, predicts the likely value of the person behind it and bids only when expected return justifies the price. The promise is not merely cheaper installs. RZR talks about D7 return, lifetime value, purchases and retention - downstream behavior that can expose a cheap but useless acquisition.
The company says four owned-and-operated data centers process more than 6 million queries each second. This is the unglamorous machinery beneath the pitch. Programmatic auctions do not wait while a model reflects. They arrive, disappear and are replaced by the next opportunity in milliseconds. RZR's software must decide what a person may be worth before somebody else wins the impression.
Proof by expansion
Angry Birds gave RZR one job. The job got bigger.
RZR's most revealing customer story is not a dramatic overnight win. It is a sequence. Rovio first used the platform for Android retargeting on Angry Birds 2, splitting former players into spenders and non-spenders and optimizing them differently. According to RZR, steady results put it among Rovio's top five Android retargeting partners by spend.
That performance earned a test in iOS user acquisition. RZR says it upgraded its deep-neural-network models, incorporated non-attributed information tied to the App Store listing and built separate prediction layers around click behavior. Rather than pour money into every country at once, the team established a multi-market base, then organized high-priority geographies into separate clusters.
Within four months, RZR says it became Rovio's No. 1 iOS acquisition partner for the title. Weekly spend grew more than fourfold during a quarter while D7 return averaged 6.5 percent above goal for most of that period. Over a year, the client increased spend tenfold. CTV is now part of the roadmap.
“The 10x growth in spend over the past year reflects the confidence we have in their ability to deliver.”Martin Boccardi, Rovio
That sequence contains a more portable lesson than the headline numbers: constrain the first test, meet a business metric, earn permission for an adjacent problem, then enter new markets in clusters. The budget followed evidence. RZR describes a similar trust loop with Mars Games, where a U.S. retargeting test for dormant payers in Isekai: Slow Life grew into five Tier 1 markets and a 180-day lapse window. The company reports D7 returns two to four times above target and CPA at half the target.
The privacy stress test
What failed first was the identifier
Apple's privacy changes spoiled a comfortable habit in mobile advertising. When users declined tracking, the familiar device identifier vanished. Conventional retargeting lost the neat thread connecting a lapsed player to the next ad impression. For Highcore Games' Roadside Empire, RZR says almost all iOS players had opted out. The old deterministic playbook could not reach most of the audience.
RZR's response was probabilistic. Its case study says the campaign grouped users using non-personally-identifying signals such as IP ranges, device model, operating system, app context and the timing and sequence of events. It used deterministic matching for the minority who opted in and explicitly says it did not use fingerprinting for the rest. Models ranked likely value and adjusted prices as inventory shifted.
Over six months, RZR reports that D7 and D30 return stayed as much as five times above target while cost per install remained about 43 percent below the benchmark. Those are vendor-published results, not a randomized public audit. Yet the change in method matters: privacy pressure moved the product away from a single durable identifier and toward a messier mixture of context, probability and continuous retraining.
The living-room test
CTV has to do more than look expensive
In January 2026, RZR and LG Ad Solutions announced a joint product for gaming advertisers. LG contributes viewing and gameplay insights, access to premium television inventory and a footprint the companies describe as 240 million smart-TV households. RZR supplies audience activation, its bidding engine and optimization against mobile installs, engagement and return on ad spend.
The partnership is an attempt to change connected TV's job description. Brand marketers are comfortable paying for reach. Mobile growth teams tend to ask blunter questions: How many installs? At what cost? Did those users spend? RZR CEO Aman Sareen summarized the ambition as making television as measurable and optimizable as mobile.
There is real tension in that sentence. A television may serve a household, not an individual. People share screens and Wi-Fi. A game can be seen by one family member and installed by another. Deterministic data can tighten the connection, but it does not erase every attribution problem. RZR's advantage will depend on whether the system produces incremental customers, not merely an elegant explanation for customers who would have arrived anyway.
What a growth team can copy
- Pick one painful cohort and one unambiguous outcome before widening the campaign.
- Optimize for retained value or revenue, not the cheapest install available.
- Expand in stages: one market, longer audience windows, then neighboring geographies.
- Map promotions and product events before spending so bids rise when intent does.
- Demand an incrementality test. Returning users who were coming back anyway are not a win.
Where it fits
A specialist trying to become the system
RZR competes in a neighborhood that includes mobile growth specialists such as Moloco, Liftoff, AppLovin and InMobi, plus larger programmatic platforms such as The Trade Desk. Its sharpest wedge is app performance, particularly gaming: acquiring a valuable player, noticing when that player disappears and bidding to bring the player back. Creative services and influencer campaigns extend the offering, but the core claim remains algorithmic media buying tied to outcomes.
The company itself has lived through several strategic identities. Aarki launched as mobile advertising software, added a self-service creative studio, connected to major exchanges and reached more than 465 million monthly users before Skillz agreed to buy it in 2021. Skillz initially valued the deal at roughly $150 million. Its annual filing later recorded final aggregate consideration of approximately $162.3 million - $95.3 million in cash and the rest in shares.
RZR has not disclosed public pricing for its current services. The supplied company record estimates annual revenue at $26.79 million and headcount at 120; LinkedIn places the team in the broader 51-to-200 band. The useful conclusion is modest: this is neither a two-person AI wrapper nor one of advertising's giant general-purpose exchanges. It is a seasoned, midsize platform trying to turn its mobile depth into cross-screen leverage.
The rebrand will not work everywhere. A small app with few conversions gives a learning system little to learn. A product with no repeat behavior has limited need for retargeting. Weak attribution, delayed outcome data or tiny test budgets can make lifetime-value optimization more slogan than instrument. And if a marketer cannot separate incremental returns from people who would have reopened the app anyway, a connected dashboard may simply connect several kinds of overclaiming.
Under the right conditions - frequent events, dependable measurement, enough volume and a customer base worth bringing back - RZR's idea is persuasive. Acquisition teaches retargeting. Retargeting reveals durable value. Television adds a new source of attention. The system remembers what the channel dashboards forget.