We had already squeezed our ad stack as far as it would go. The HaypeX layer added revenue without touching a single existing placement — integration took one afternoon and the uplift showed up in the first week.
Where we work
Different verticals, the same question
Whatever the industry, we start in the same place: where is the attention, what is it currently worth, and what is stopping it from being worth more?
Sectors
Four verticals we actually serve
Deliberately narrow. These are the property types our own platforms are built to monetize, so the advice comes from operating them rather than from a case study.
Gaming & Apps
Arcade sections, quiz breaks and reward loops that lift session time and ad revenue.
Publisher Networks
One integration rolled across an entire portfolio of properties, reported in a single view.
Utility & Tools
Converting idle app moments into engagement and incremental revenue.
Content & Media Sites
An interactive games section that keeps visitors browsing and adds incremental revenue.
Playbooks
How the work actually differs by vertical
The underlying model is consistent. What changes is where the leak is and which lever moves it fastest.
Gaming & App Publishers
The usual problem
Session length is healthy but ad revenue per user has plateaued, and the ad stack has already been squeezed.
How we approach it
- Add quiz breaks between levels or a dedicated arcade section
- Route idle-moment traffic into instant-play HTML5 titles
- Layer JambuAds inventory alongside the existing waterfall
- Tune placement density against retention, not just eCPM
Publisher Networks
The usual problem
A portfolio of properties each earning differently, with no consistent way to test a new revenue layer across all of them at once.
How we approach it
- Roll one integration across every property in the portfolio
- Compare engagement and earnings site by site in a single view
- Start on a subset, prove the uplift, then extend to the rest
- Keep each property's existing ad stack exactly as it is
Utility & Tool Apps
The usual problem
Users open the app, complete one task in twenty seconds and leave. Session time is too short for the ad stack to earn anything meaningful.
How we approach it
- Convert idle moments into short quiz or game sessions
- Add a low-friction entry point that does not interrupt the core task
- Use daily challenges to create a reason to reopen the app
- Monetize the new sessions without touching the existing stack
Content & Media Sites
The usual problem
Search brings the visitor in, they read one page and bounce. Depth per visit never improves no matter how much is published.
How we approach it
- Add an interactive games section alongside the content
- Place entry points where readers finish an article
- Keep visitors browsing instead of returning to search
- Earn from sessions that the article alone would never have produced
Across sectors
What the cross-vertical record looks like
Publishers onboarded, markets served and outcomes produced across every category we work in.
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Publishers Onboarded
Live properties monetizing with our platforms
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User Retention
Improvement driven by daily engagement loops
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Projects Delivered
Client engagements shipped since 2019
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Countries Served
Brands and publishers across the globe
How we work
Three easy stepsA growth model built on evidence, not instinct
The same three phases run every engagement, whether we are scaling a publisher's revenue or launching a product from zero.
01Planning
Diagnosis & Strategy
We analyse audience behaviour, current monetization and funnel economics to find where revenue is actually leaking — then build the plan around that, not around a template.
- Audience & behaviour analysis
- Revenue and stack audit
- Opportunity sizing
- Roadmap and KPI definition
02Test Phase
Build & Validate
Multiple creatives, placements and audience configurations run in parallel. We narrow to the winners on evidence, not instinct, before a single rupee is scaled.
- Rapid creative production
- Multivariate placement testing
- Statistical significance gates
- Winner selection on data
03Scale Phase
Optimise & Scale
In-house technology drives AI-assisted strategy — increasing frequency, targeting precision and budget behind the best performers to compound revenue and profit.
- AI-assisted bid strategy
- Budget and frequency scaling
- Continuous placement tuning
- Profit-first reporting
Our partners
Client feedbackWhat working with us actually looks like
What stood out was that they run these platforms themselves. Every recommendation came with a number behind it from their own traffic, not a generic case study from someone else.
Our daily active users climbed steadily after the quiz module went live. Streaks turned casual visitors into people who open the app before breakfast — that habit is worth more than any single campaign.
The reporting is genuinely transparent. We see the same live dashboard they do, so conversations are about what to do next rather than arguing over whose numbers are right.
Your sector
Not sure your vertical is on the list?
It probably still fits. The model is about attention and where the value leaks — send us the specifics and we will tell you honestly whether we can help.
Or email us directly at info@haypexmedia.com · We reply to every enquiry within one business day.