We build the full advertising technology stack — campaign management platforms, creative serving infrastructure, audience data management, and multi-touch attribution systems that tie spend to real business outcomes.
Discuss your projectThe campaign management layer handles the advertiser-facing complexity: budget allocation across line items, dayparting, frequency caps per user per day, and creative rotation rules. Pacing logic runs in-process against Redis state — never in a database query — to keep the control loop latency low enough to be accurate without being wasteful.
We implement even pacing (smooth delivery throughout the day) and ASAP pacing (spend as fast as possible within budget) as configurable options, with real-time spend tracking that can halt delivery within seconds of hitting a budget limit.
Impression pixels, click redirects, and conversion tags generate event streams that flow through Kafka into both ClickHouse (for reporting) and a session-stitching service (for attribution). We support first-touch, last-touch, and linear attribution models, as well as view-through attribution with configurable windows.
For advertisers who require conversion verification, we integrate server-side postbacks rather than relying on client-side pixels alone — eliminating ITP/cookie restrictions from the measurement equation.
Audience segments are built from first-party signals (site visits, purchase history, CRM data) and managed in a lightweight DMP layer backed by Redis for real-time lookups and PostgreSQL for segment definitions. We implement look-alike modelling using cosine similarity on behaviour vectors when historical audience data is available.
Creative assets are stored in S3 and distributed via CDN with versioning — a creative update never requires a cache purge, only a new version pointer. HTML5 ad units are sandboxed using iframes with content security policies to prevent malicious code execution on publisher pages.
We map the complete workflow — from campaign creation to impression delivery to conversion reporting — before designing any data model or API. Edge cases like creative rejection and budget exhaustion are designed upfront.
The tracking endpoint and event pipeline are built before the campaign UI — you can't report on campaigns without accurate data, and it's easier to validate tracking in isolation.
The management interface is developed against real event data from day one. No mocks — we validate reporting accuracy against known test campaigns before the first client gets access.
Platform launches with 2–3 seed advertisers whose campaigns are monitored closely. Pacing accuracy, reporting latency, and creative delivery are verified against SLAs before opening to additional advertisers.
We fire controlled test impressions and conversions with known parameters and verify that ClickHouse reporting reflects them within the agreed latency window and with 100% accuracy. Discrepancies are investigated at the pipeline level.
We run pacing simulations against historical impression volume patterns. Acceptable overspend is defined (typically <2%) and the pacing algorithm is tuned to stay within bounds across the full range of campaign budgets and durations.
The pixel endpoint and creative server are load tested at 5× expected peak QPS. We verify response times, asset delivery consistency from the CDN, and correct handling of CORS, click tracking, and redirect chains.
On multi-tenant platforms, we verify that advertiser A cannot access advertiser B's data, campaigns, or audience segments — at the API layer, query layer, and reporting layer. Isolation is tested with automated regression tests on every deployment.
Whether it's a campaign management tool, tracking infrastructure, or an audience platform — let's talk through your requirements and build it right.