Software Development for Marketing and Media MarTech, CDP & AdTech
MarTech, CDPs, attribution, marketing automation, AdTech, OTT and streaming, content workflow, and creator-economy platforms. GA4, GDPR, server-side tagging. Shipped in 8 to 20 weeks. USD pricing.
We tell you what tracking, attribution, and CDP work is needed before any code ships.
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Who we've built for.
How we work in marketing and media
- What we build
- MarTech · CDP · Attribution · Marketing automation · AdTech · OTT · Content workflow · Creator economy
- Stack
- Next.js · Node.js · Python · PostgreSQL · AWS · Segment · Snowplow · GA4 · BigQuery · LangChain
- Compliance
- GDPR · CCPA · CPRA · ePrivacy · CASL · PECR · SOC 2 · IAB TCF v2.2 · Google Consent Mode v2
- Integrations
- Segment · Snowplow · GA4 · Klaviyo · HubSpot · Salesforce Marketing Cloud · Braze · Iterable · Mixpanel · Amplitude
- Pricing in USD
- Starter build from $8,000 · CDP or attribution platform from $35,000 · Custom MarTech build from $38,000
- Output
- Production platform · tracking plan · consent architecture · runbook · on-call coverage
Marketing and media software is where data fidelity, latency, and privacy converge. A tracking implementation that misses 12 percent of conversions invalidates the attribution model. A latency hit on ad delivery costs revenue per second. A consent implementation that breaks GDPR exposes the business to enforcement. This page covers what makes marketing and media builds different, the segments we serve, what server-side and consent architecture actually look like, the named clients we have shipped for, and what every category typically costs.
Named marketing and media builds
Recent MarTech and media builds.
Marketing-adjacent CRM and partner workflow platform with attribution and reporting.
Read case study →Lifestyle commerce platform with CDP integration and lifecycle automation.
Read case study →Headless commerce front end with full-funnel attribution and conversion optimisation.
Read case study →Marketing and media segments we serve
Customer Data Platforms (CDP)
Identity resolution, event collection, audience segmentation, activation to downstream tools. Built on Segment, Snowplow, mParticle, or RudderStack. Custom CDP for advanced identity graphs.
Attribution and measurement
Multi-touch attribution, marketing mix modeling, incrementality testing, GA4 plus BigQuery custom modeling, server-side conversion APIs to ad platforms (Meta CAPI, Google Enhanced Conversions, TikTok Events API).
Marketing automation
Lifecycle programmes, transactional email, SMS, push, in-app. Klaviyo, HubSpot, Iterable, Braze, Marketo, Salesforce Marketing Cloud. Custom orchestration where vendor limits hit.
AdTech (DSP, SSP, ad server)
Bidding logic, supply integration, demand integration, brand-safety, fraud detection. OpenRTB 2.5 plus 3.0. Prebid integration.
OTT, streaming, and CTV
Video CMS, encoder pipelines, DRM, ad insertion (SSAI, CSAI), analytics, paywall. Built on Mux, AWS Media Services, or custom.
Content management and editorial
Headless CMS (Sanity, Contentful, Strapi, Storyblok) with custom editorial workflow, multi-channel publishing, SEO tooling, content performance dashboards.
Creator economy
Subscription, payouts, content access control, community, analytics for creators. Custom monetization models.
Personalisation and recommendation
Real-time recommendation engines, A/B and multi-armed-bandit testing, feature store for personalisation features.
Related services: Custom Software Development, Web Development, Mobile App Development, AI & Machine Learning, Automation Platforms, API Integration, Cloud & DevOps, Data Pipeline Engineering.
Use cases — concrete examples with cost ranges
Customer Data Platform (CDP) build
Event ingestion via Segment or Snowplow. Identity resolution. Audience builder with operators (event count, frequency, recency, custom traits). Activation via reverse ETL (Hightouch or Census) to downstream tools (Klaviyo, HubSpot, Meta, Google Ads, TikTok). Stack: Segment plus Snowflake plus Hightouch plus React UI. Typical build 14 to 20 weeks. From $24,000 depending on source count and activation destination count.
Attribution and measurement platform
Server-side event collection. Multi-touch attribution model. Incrementality test framework. Conversion APIs to Meta, Google, TikTok with hashed-identifier enrichment. Marketing mix modeling layer for budget allocation. Stack: Snowplow plus BigQuery plus dbt plus React dashboards. Typical build 12 to 18 weeks. From $20,000 depending on model sophistication and channel count.
Headless CMS with editorial workflow
Sanity, Contentful, Strapi, or Storyblok as content backbone. Editorial workflow with approval and scheduling. Multi-channel publishing (web, app, newsletter, social). SEO tooling (meta, schema, canonical). Content performance dashboard with traffic and conversion attribution. Typical build 10 to 14 weeks. From $17,000 depending on channel count and editorial complexity.
OTT or streaming platform
Video CMS. Encoder pipeline. DRM (Widevine, FairPlay, PlayReady). Ad insertion (SSAI via Mux, AWS MediaTailor, or Brightcove). Subscription paywall. Analytics. Multi-device clients (web, iOS, Android, smart TV). Typical build 16 to 24 weeks. From $32,000 depending on device coverage and content protection requirements.
Why marketing and media software is different
MarTech and AdTech builds carry three costs that a standard SaaS does not. First, tracking data fidelity: with iOS App Tracking Transparency, third-party cookie deprecation, and Safari ITP, client-side tracking now loses 20 to 40 percent of events. Server-side tagging, conversion APIs, and consent-mode integration are required to keep attribution honest. Second, consent and privacy architecture: GDPR plus CPRA plus ePrivacy plus CASL plus PECR is a multi-jurisdiction puzzle. IAB TCF v2.2 and Google Consent Mode v2 are the baseline. Third, real-time decisioning: bidding, personalisation, content recommendation, and ad delivery operate at sub-200 ms latency budgets. The data pipeline has to feed decisions, not just dashboards. We design MarTech and media builds around three principles. Build server-side first so attribution stays honest as browser and OS-level privacy controls tighten. Treat consent as a platform feature with audit trail and per-vendor governance, not a cookie banner bolt-on. Make real-time decisioning a separate path from analytical reporting so neither blocks the other.
Implementation roadmap
Five-phase rhythm for marketing and media builds. Tracking plan finalised before any code ships.
Discovery and tracking plan (2 weeks)
Source inventory. Event taxonomy. Identity strategy. Consent architecture. Output: tracking plan document plus consent matrix.
Architecture and data-model design (1 week)
Server-side versus client-side decision per source. Warehouse modeling. Activation pattern. Output: ADRs plus data dictionary.
Build (6 to 14 weeks)
Two-week sprints. Tracking validation on every PR via QA tooling (ObservePoint, Avo, custom). Activation tests run against staging downstream tools.
Validation and consent UAT (2 weeks)
End-to-end attribution test. Consent UX across geographies. Vendor activation test. Privacy and DSR (data-subject-request) flow validation.
Launch and dual on-call (1 week plus 2 weeks)
Production deploy. Monitoring on event-collection health. On-call rotation. Tracking plan and consent runbook delivered.
Tech stack and architecture
Default MarTech and media stack. Each layer chosen for tracking fidelity, low-latency decisioning, and consent governance.
- Tracking layer: Server-side GTM or Segment. First-party domain for client-side collection. Conversion APIs to Meta, Google, TikTok, LinkedIn, Pinterest, Reddit. Snowplow for event-stream ownership at scale.
- Consent layer: OneTrust, Didomi, or Cookiebot for CMP. IAB TCF v2.2 plus Google Consent Mode v2 integration. Per-vendor consent gating enforced server-side.
- Identity graph: Deterministic plus probabilistic identity resolution. Server-side hashed identifiers (email, phone). Cross-device and cross-domain unification.
- Data warehouse: Snowflake, BigQuery, or Databricks. dbt for modeling. Reverse ETL via Hightouch or Census for activation.
- Application layer: Next.js plus Node.js or Python for marketing surfaces and dashboards. Real-time API tier on low-latency infrastructure for decisioning.
- AI and personalisation: Recommendation engine (TensorFlow Recommenders, AWS Personalize). Generative AI for content variation, with quality gates and brand voice constraints.
- Cloud: AWS or GCP. Edge functions for low-latency decisioning. CDN-accelerated content delivery via Cloudflare, Akamai, or Fastly.
Compliance and audit readiness
Every MarTech and media build ships with the privacy and consent controls regulators and platforms require. GDPR for EU citizens. CCPA and CPRA for California. ePrivacy and PECR for EU cookie consent. CASL for Canadian email. IAB TCF v2.2 for ad-tech consent signalling. Google Consent Mode v2 for Google product compliance from March 2024. SOC 2 Type II for SaaS controls. Apple App Tracking Transparency for iOS. Subprocessor list and DPA review per tenant. Right to erasure and data portability flows built into the platform.
Cost drivers we see in marketing and media builds
MarTech and media build cost ranges meaningfully. These are the seven drivers we see push or pull on the number.
- Source count (web, app, server, offline). Single source is fast. Multi-source with cross-source identity resolution adds 25 to 40 percent.
- Activation destination count. One destination is fast. 20 destinations with per-vendor schema, consent, and rate-limit handling adds substantial integration work.
- Identity resolution complexity. Deterministic only is straightforward. Deterministic plus probabilistic with confidence scoring adds 20 to 35 percent.
- Real-time decisioning. Batch is cheap. Sub-200 ms real-time decisioning needs separate infrastructure and adds 25 to 40 percent.
- Multi-region privacy. Single-region is the baseline. EU plus US plus UK plus APAC with per-region consent and data residency adds 20 to 30 percent.
- AdTech depth. CDP only is fast. Full AdTech (bidding, brand-safety, fraud) is its own engineering programme.
- DRM and content protection (for streaming). Open content is fast. Premium content with Widevine, FairPlay, PlayReady DRM plus watermarking adds substantial complexity.
Pricing
MarTech MVP
From $8,000
- Single source, server-side tracking, basic dashboards.
- 8 to 12 weeks.
CDP or attribution platform
From $35,000
- Multi-source CDP with activation, server-side conversion APIs, identity resolution.
- 14 to 20 weeks.
Headless CMS with editorial workflow
From $17,000
- Multi-channel publishing, SEO tooling, performance dashboard.
- 10 to 14 weeks.
Custom MarTech platform
From $38,000
- CDP plus attribution plus personalisation plus orchestration.
- 16 to 24 weeks.
OTT or streaming platform
From $38,000
- Video CMS, DRM, ad insertion, multi-device.
- 16 to 24 weeks.
Maintenance retainer
From $2,750 / month
- On-call cover, tracking health monitoring, consent updates, vendor API change tracking. SLA-backed.
Marketing and media trends shaping 2026 builds
Six MarTech and media shifts shaping 2026 builds.
- Server-side first becoming non-negotiable. Third-party cookie deprecation in Chrome, iOS ATT, and Safari ITP push everyone to server-side conversion APIs and first-party identity.
- Generative AI for marketing operations. Ad creative variation, content briefs, audience-segment naming, automated A/B copy. Used with brand-voice guardrails and human review.
- Marketing mix modeling resurgence. Privacy-resilient measurement. Robyn (Meta), LightweightMMM (Google), and custom Python models reclaiming the role MTA used to fill.
- Composable CDP architectures. Activation directly off the warehouse (Hightouch, Census, RudderStack) replacing or augmenting packaged CDPs for warehouse-native organisations.
- Connected TV (CTV) and FAST channels growing. Audience targeting, attribution, and creative workflows extending to CTV. Distinct from web display ad tech.
- Creator-economy platforms maturing. Substack, Patreon, Kajabi-like platforms increasingly demanding direct payment, lifecycle, and community features rather than third-party tooling.
FAQ
Yes. Server-side GTM or custom event collection layer. Meta CAPI, Google Enhanced Conversions, TikTok Events API, LinkedIn Conversions API, Pinterest CAPI, Reddit CAPI integrated with hashed-identifier enrichment. Match-rate monitoring built into the platform.
Yes. Required since March 2024 for EEA, UK, and Switzerland to keep modeled conversions in Google Ads. We implement with OneTrust, Didomi, or Cookiebot as CMP and a per-vendor consent matrix.
Yes. Packaged CDP (Segment, mParticle, RudderStack), composable CDP (warehouse-native with Hightouch or Census), or custom CDP. We recommend based on team capability and data maturity, not based on what vendor we resell.
Yes. MTA with custom modeling in BigQuery or Snowflake. MMM via Robyn, LightweightMMM, or custom Bayesian models. Incrementality testing framework with geo holdouts.
Yes. Video CMS, encoder pipelines, DRM (Widevine, FairPlay, PlayReady), ad insertion (SSAI and CSAI), paywall, analytics. Mux, AWS Media Services, Brightcove integration or custom build.
Yes. Consent capture, per-vendor consent gating, data-subject request (DSR) workflows (access, deletion, portability), subprocessor list management, DPA review per tenant. Right to erasure flows tested before launch.
Yes. Real-time recommendation via TensorFlow Recommenders, AWS Personalize, or custom. Feature store for personalisation features. A/B and multi-armed-bandit testing framework. Decisioning isolated from analytics so neither blocks the other.
Yes. All major marketing automation and lifecycle tools. Bidirectional sync via Segment, RudderStack, or direct API. Activation via reverse ETL where the warehouse is the source of truth.
App-level conversion modeling with SKAdNetwork integration. Server-side enrichment via hashed identifiers. Consent flow tested for IDFA opt-in path. Aggregated event measurement for Meta and Google.
Yes. OpenRTB 2.5 and 3.0. Prebid integration. Brand-safety integration via IAS, DoubleVerify, MOAT. Fraud detection layer. Bidding logic and supply-side integration. We have shipped both white-label and proprietary AdTech.