CASE STUDY · SAAS PRODUCT

AdMochi – Our SaaS, Built End to End

Most software houses build other people’s products. We also build our own. AdMochi is a campaign data-integrity platform we conceived, designed, and shipped end to end – in production since 2021, evolving with every client it serves.

INDUSTRY AdTech/ MarTech / Media operations · ENGAGEMENT Ongoing since 2021 · STACK Typescript Angular, Java, Spring

85%Faster campaign setup
100%On-taxonomy data
0Manual tagging errors
30minTo onboard a new client

AdMochi is our own product – our idea, built on our own experience in the field. We took it from concept to a live platform: the UX, the full TypeScript/Angular and Java/Spring stack, and the ongoing product ownership that keeps it reliable and evolving four years on.

Product

AdMochi, our in-house SaaS for ad operations

Since

2021, in production and evolving

Built for

Agencies and in-house media teams

the problem

The hard part was never the campaign

Agencies and in-house teams run campaigns across dozens of platforms, markets, and teams – and the naming behind those campaigns is inconsistent everywhere. The result is reporting chaos: unreliable analytics, hours lost stitching spreadsheets together, and numbers no one fully trusts. The hard part was never launching a campaign – it’s trusting the data it leaves behind. Working in this space over years, we saw the same problem in agency after agency – so we set out to solve it.

From idea to a product we run

What we did

AdMochi is our own product – our idea, built on our own experience in the field. We took it from concept to a live platform: conceiving it, designing the UX, and building the full stack ourselves. And we didn’t build it in isolation – we developed it hand in hand with our clients, getting deep into how their teams actually work and shaping the product around real agency and in-house needs. It’s been running and evolving in production since 2021.

What we built

A platform that enforces campaign data integrity from setup to reporting. Teams define a naming taxonomy once – per client, brand, or market – and AdMochi applies it automatically to every campaign for various platforms. We built it around configuration, not code: a non-technical user can model any client’s naming rules, connect any platform, and define exports without an engineer touching the codebase.

Engineering challenges

A rules engine driven by configuration, not code

Letting a non-technical user define any client’s naming convention – and have it enforced automatically – is hard to get right. The rules must be flexible enough to model arbitrarily complex taxonomies, yet strict enough to validate every single campaign line against them. We built a configurable rule engine with an interface on top, so buyers model their own conventions and the system enforces them, with no code involved.

An extensible integration & export framework

A platform that enforces campaign data integrity from setup to reporting. Teams define a naming taxonomy once – per client, brand, or market – and AdMochi applies it automatically to every campaign for various platforms. We built it around configuration, not code: a non-technical user can model any client’s naming rules, connect any platform, and define exports without an engineer touching the codebase.

A data-integrity layer that guarantees clean input

“100% on-taxonomy, zero manual errors” comes from enforcement at the point of entry – validation that makes off-taxonomy data impossible to create, not something cleaned up later.

Media-plan ingestion

Media plans arrive in all shapes and formats. We import them and map them into one structured model that becomes the blueprint for automated setup.

OUR TRACK RECORD

Product ownership over time

AdMochi is our own product – not a client commission. We’ve owned every stage: concept, validation with real agencies, launch, and four years in production. Maintaining a live SaaS, keeping it reliable, and growing its roadmap over time is the part a portfolio rarely shows – and the clearest sign that building and running a product end to end isn’t new to us.

What AdMochi actually does

Taxonomy engine

Naming conventions defined once, enforced on every campaign automatically. No buyer goes off-taxonomy.

Taxonomy engine

Media plan import

The media plan becomes the blueprint – no retyping, no reformatting. Upload and go.

Media plan import

Automated setup

Tags, UTMs, and trafficking sheets generated automatically, on-taxonomy, with zero manual errors.

Automated setup

Report-ready data

Clean, consistent output across every platform, ready for BI and analytics with no mapping.

Report-ready data

Integrations

Works across social, search, display, and retail media in one place.

Integrations

result

What it delivers in production

AdMochi runs in production for agencies managing campaigns across dozens of brands and multiple markets – every campaign set up consistently, every report ready without manual work. Campaign setup is 85% faster, fully on-taxonomy, and free of manual tagging errors.

Have a similar problem? Let’s talk.

If your team has a complex technical challenge – scaling a methodology, modernizing a legacy system, or building a data product – we’d like to hear about it.

No deck, no sales pitch – just a conversation about what’s broken and what it would take to fix it.