Custom Marketing & Engagement Software Development

We engineer adaptive execution systems that learn, adjust, and scale with your users.

Salesforce’s 2023 Marketing Intelligence Report states that unified marketing platforms improve execution speed by up to 2.5x.

Traditional automation tools embed static logic behind visual editors. Rules are hardcoded, variants are manual, and outcomes are pre-assumed. But modern marketing is probabilistic, not deterministic. Campaign logic must evolve in real time, based on behavior, not pre-planned sequences, exactly the agility that software development marketing demands when feature releases ship weekly.

We design orchestration systems that combine event-driven workflows with continuous AI-based optimization, enabling dynamic targeting, delivery, and decision-making across every surface.

The engagement includes five AI-accelerated components:

• Feedback-Driven Execution Engine. We build execution layers where workflows are initiated by real-time user signals: session activity, product events, campaign responses, or external webhooks. Triggers support conditional routing, debounce logic, rate limiting, and real-time eligibility checks.
• Unified Campaign Logic. Automation logic is centralized into reusable blocks: message caps, suppression rules, holdout variants, exclusion zones, and fallback paths. These rules are versioned and auditable, and evaluated both at ingest and at execution time.
• AI-Augmented Variant Selection. We embed ML-based selection logic that tests subject lines, creatives, channel mixes, and timing, then reallocates exposure based on real-time outcomes. Multi-armed bandits or contextual bandits replace static A/B tests where scale and response velocity matter.
• Multichannel Message Execution. Execution spans email, push, SMS, in-app, and retargeting, resolved at runtime based on user context, inventory constraints, and prior interactions. Message-level conflict handling, delivery tracking, and suppression logic are baked into orchestration paths.
• System Observability. All automation paths are instrumented for latency, throughput, message failures, and behavioral anomalies. We implement monitors for delivery shifts, response drops, and trigger saturation, with alerting and dynamic throttling where thresholds are breached.
• ML Feedback Loops. The platform connects to CDPs, CRMs, and analytics systems, and feeds delivery outcomes and behavior metrics back into model training pipelines. This enables closed-loop learning across trigger tuning, variant selection, and user state progression.

Output: an AI-native orchestration core in our IT solutions marketing offering, capable of optimizing delivery, logic, and content at real-world scale and complexity.

We give your marketing stack a single, fault-tolerant source of truth, built for real-time activation and ML-grade quality, through our marketing solutions software.

McKinsey’s Martech Infrastructure Review found that data latency delays campaigns for 58% of enterprise marketing teams.

Siloed exports and ad-hoc pipelines cripple attribution, slow experimentation, and starve models of reliable features. Cost overruns follow as data copies multiply and compliance gaps widen.

We engineer a governed lakehouse backbone within our IT marketing solutions that ingests once, validates always, and serves every downstream use case at sub-second latency.

The engagement includes five key components:

• Lakehouse Architecture. We architect storage layers using lakehouse or hybrid models, combining structured (e.g., campaign data, profiles) and semi-structured (e.g., events, surveys) sources. Warehouses support analytical query loads, batch processing, and ML training sets.
• ETL/ELT Pipelines with Schema Governance. We implement ingestion flows with strict schema validation, change detection, and lineage tracking. Pipelines use tools such as Airflow, dbt, or Kafka Streams, with monitored SLAs and failure alerts.
• Sync Orchestration. We build integration layers to connect CRMs, CMSs, analytics tools, and advertising platforms. Sync logic includes conflict resolution, deduplication, idempotency guarantees, and configurable sync frequencies.
• Feature Store for ML. We design shared feature stores, versioned, time-aligned, and access-controlled, to support reuse across churn models, recommendation engines, and segment prediction. Stored features are traceable and enriched in batch or streaming modes.
• Monitoring, Observability. We implement data quality checks, latency metrics, and anomaly detection across pipelines. Access is governed by role and purpose, with audit trails, data classification, and compliance tagging across storage layers.

Output: a marketing data backbone that aligns systems, supports experimentation, and delivers high-confidence inputs to analytics and AI, at scale, with full operational traceability.

Adobe’s 2023 Digital Economy Index shows that real-time personalization lifts conversions by an average of 20%. Operationalise true one-to-one marketing with an AI-native engagement engine powered by digital marketing software development.

Generic segments, fixed rules, and batch updates can’t keep pace with real-time intent shifts. We build systems that learn from every interaction, decide the optimal next step, and adapt content, channel, and timing on the fly, turning each touchpoint into measurable lift.

The system includes five learning components:

• Real-Time Profile Assembly. Live pipelines resolve identities and enrich behaviour streams (<100 ms), adding context such as location, device, weather, and prior offers.
• Predictive Segmentation. Continuous ML models assign propensity, churn, and LTV scores; micro-segments re-form on every event to drive eligibility, caps, and bid values.
• Contextual Decisioning Engine. Contextual-bandit algorithms choose offer, creative, and channel per request — a model that fits perfectly within the chatbot development software market.
• High-Velocity Experimentation. Auto-generated multivariate tests scale to tens of thousands of variants daily; Thompson sampling reallocates exposure to winners without manual review.
• Drift Control. Outcome data streams back into the feature store; automated retraining, drift alerts, and blue-green deploys keep models accurate and compliant.

Output: an adaptive engagement layer that reacts in milliseconds, self-optimises, and compounds ROI with every user action.

We build systems in our custom marketing software development that quantify uncertainty and expose directional patterns in customer behavior.

In growth-critical environments, decision cycles shorten while complexity increases. Marketing teams require not only historical visibility but also predictive resolution. We design and implement intelligence layers that become the core of the marketing software solution tailored to your growth strategy: behavioral analytics, probabilistic modeling, and automated feedback loops, integrated directly into execution systems.

This service is powered by our AI Solution Accelerator™ — a modular framework for deploying machine learning across the marketing lifecycle with structured governance and traceability.

The engagement includes five components:

• Predictive Scoring Models. We build models that forecast conversion likelihood, churn probability, and LTV distribution using behavioral time series, funnel progression, and micro-segmentation attributes. Models are deployed into real-time scoring layers with confidence intervals and override rules.
• Signal Aggregation Pipelines. We develop infrastructure that collects, transforms, and weights events across marketing, product, and support systems. Pipelines include deduplication, temporal smoothing, and decay logic for building interpretable user vectors.
• Behavioral Clustering. Using unsupervised learning, we identify natural behavioral clusters across acquisition, retention, and monetization vectors. These clusters serve as adaptive segments, more precise than static rules, and continuously refined as input data evolves.
• Attribution & Response Optimization. We implement attribution models that distribute impact across user journeys using position-based, data-driven, or Markov chain methods. Outputs feed campaign budget reallocation logic and guide cohort-level experimentation strategy.
• AI Solution Accelerator™ Runtime Layer. Our internal platform supports model deployment, monitoring, and re-training workflows. It includes automated feature selection, drift detection, performance decay alerts, and retraining triggers — all versioned and auditable across environments.

Output: a predictive intelligence system that augments campaign planning, reduces acquisition inefficiency, and aligns execution with modeled outcomes under real-world constraints.

We transform fragmented metrics into a single, decision-ready view of performance.

Marketing data pours in from ad platforms, product logs, CRM, and finance, rarely on the same timeline or grain. Static dashboards break under attribution changes, currency shifts, and cohort queries.

We build a BI layer that aligns definitions, compresses query latency, and surfaces insight at the speed required for digital marketing software development.

This service includes five components:

• Unified Marketing Data Model. We normalise spend, reach, conversion, and revenue into a conformed schema with built-in attribution dimensions, funnel states, and currency/time harmonisation.
• Lake-to-Warehouse Pipeline. We engineer ELT flows (Airflow + dbt) with schema validation, lineage tags, and SLA alerting.
• Attribution-Consistent Metrics. Rule-based or algorithmic credit is calculated once, stored as a dimension, and referenced everywhere, eliminating metric drift between teams and tools.
• Role-Tuned Dashboards. Growth, CRM, and exec views share the same data source but expose only the filters, drill paths, and leading indicators each role needs. Looker/Power BI semantic layers enforce consistency.
• Anomaly & Trend Detection. ML models flag spend spikes, conversion drops, or channel outliers in near real time, pushing Slack/Teams alerts before weekly reports go stale.

Output: a governed analytics backbone that replaces spreadsheet reconciliations with instant, trustworthy answers, cutting decision latency from days to minutes and keeping marketing, finance, and product on the same page.

Know every user the instant they act.

Scattered events, cookie churn, and delayed batch jobs fracture identity and stall personalisation. Sub-second targeting demands a profile that is always current, privacy-safe, and audit-ready in market intelligence software solutions.

We build a streaming identity graph that resolves, enriches, and version-controls customer state within 100 ms of every signal.

• Segmentation Modeling. Build dynamic audience rules based on behavioral patterns, frequency, recency, cohort attributes, predicted LTV, or churn risk. Support for both rule-based and ML-generated segments. Segments power downstream automation, campaign logic, and content delivery.
• Personalized Content Decisioning. We develop recommendation layers that serve the right message, asset, or offer for each user, based on past behavior, current context, and predicted intent. This includes product carousels, homepage modules, subject line variants, and ad creative swaps. All decision-making is traceable and testable.
• A/B and Multi-Armed Bandit Infrastructure. Experiments are first-class citizens. We build infrastructure for A/B testing, variant traffic control, response scoring, and automatic winner promotion. Multi-armed bandit algorithms can be deployed where speed-to-optimization matters more than strict statistical significance.
• Loyalty & Re-engagement Systems. We engineer engagement mechanisms that go beyond content, including point systems, milestone logic, rewards catalogs, and gamified streaks. All actions are tracked and tied to behavioral profiles, allowing personalization not just of the message, but of mechanics.

Output: an adaptive engagement engine that responds to behavior in milliseconds, not in campaign cycles, enabling deep personalization without sacrificing performance or governance.

Maintain compliance and control over every message you deliver.

In the modern marketing stack, content and consent are inseparable. User permissions, localization, content variants, and SEO structures must work together — or they break the experience. We build systems that give your teams granular visibility and control over what’s delivered, where, and to whom.

This service combines compliant data handling, multichannel content infrastructure, and real-time tag governance within your marketing software solution — all tightly integrated with your marketing stack.

The service includes five core components:

• Content Management System Engineering. We build CMS platforms designed for marketing teams, with modular content blocks, localized variants, embedded personalization rules, and content lifespan logic. Structured for integration into omnichannel delivery engines (email, web, in-app, chatbot).
• Real-Time Tag Orchestration. We deploy an AI rule engine that decides load order, deduplicates scripts, and blocks unauthorised trackers per session. Latency, firing counts, and policy breaches stream to monitoring dashboards in real time.
• AI-Assisted Classification. We apply NLP models to extract topics, sentiment, PII exposure, and SEO entities. Auto-tag new content, detect policy violations, and block publication until issues are resolved, cutting manual review cycles.
• Content Structure Control. Systems include rule-based management for metadata, hreflangs, canonical tags, sitemaps, redirects, and structured data. All content changes are validated against technical SEO constraints and tracked for regressions or misconfigurations.
• Multi-Role Editorial Workflows. Support for drafts, approvals, rollback, and publishing workflows across multiple roles and departments. Integrated versioning and diff views allow marketing, legal, and product teams to operate with shared visibility and control.

Output: a consent-aware content backbone that protects user privacy, guarantees regulatory compliance, and lets teams publish at campaign speed, without hidden legal or technical debt.

Unify customer data into a single decision-ready layer.

When customer signals live across disconnected systems, every action becomes guesswork: segmentation breaks, personalization lags, and attribution fail, challenges addressed by our marketing software development services. We build CDPs that centralize, resolve, and activate behavioral and transactional data at scale.

We deliver five critical capabilities:

• Real-Time Identity Resolution. We build pipelines that ingest user signals across web, mobile, email, and offline touchpoints, resolving them into persistent, privacy-compliant profiles with support for anonymous tracking, ID stitching, and deduplication logic.
• Behavioral and Contextual Enrichment. We integrate your CDP with external and internal sources; geolocation, device, campaign metadata, referral source, session depth, and product interaction to add depth to each customer profile and power higher-precision segmentation.
• Source Control. We design data models that support schema evolution, optional fields, nested attributes, and flexible typing, making your CDP extensible without risking data quality. Sources and ingestion priorities are managed through versioned pipelines.
• Segment Builder. We implement interfaces and APIs for non-technical teams to define and publish segments, based on recency, frequency, conversion behavior, predicted value, or custom logic. Segments can be activated across your marketing stack with TTL and sync frequency control.
• Data Governance & Auditing. We enforce data classification, lineage tracking, role-based access, and compliance logging across the CDP. Each profile and event carries provenance, modification history, and opt-in status, ready for audit and safe for scale.

Output: a production-grade CDP that turns scattered signals into a real-time profile system, built for activation, extensibility, and compliance.

Unify every touchpoint into a single, adaptive revenue engine.

Fragmented CRMs lock data in static stages in software development digital marketing contexts; hand-offs break, churn goes unseen, and expansion signals arrive too late. Growth demands a platform that mirrors real-world journeys and re-routes itself in real time.

We design lifecycle systems that capture every interaction, predict next moves, and trigger the right action automatically.

The service includes five components:

• Lifecycle-Centric Data Models. We define CRM schemas around the full journey — leads, trials, opportunities, renewals, tickets, handoffs, with flexible entity types, transition states, and composite relationships. Support for non-linear flows and multiple lifecycles per customer.
• Event-Driven Workflow Automation. We implement rule-based and event-based workflows tied to customer state: stage progression, inactivity, contract events, and CSAT signals. Automation includes task creation, assignment, alerts, SLA tracking, and integration actions.
• Expansion Scoring. Deploy ML models that refresh churn, conversion, and growth propensities on every event. Scores route accounts to the right owner and channel with confidence thresholds and drift alerts.
• Unified Activity Timeline. Stream emails, calls, chats, product events, support tickets, and billing data into a single chronology: searchable, filterable, and GDPR-compliant. No more siloed context or manual stitching.
• Closed-Loop Integrations. Sync the platform bidirectionally with marketing automation, billing, support, and data warehouses. Feed outcome data back into scoring models and executive dashboards; detect schema drift before it reaches finance or BI.

Output: a CRM platform structurally aligned to your business, enabling full-cycle visibility, faster handoffs, and higher retention through operational continuity.

We design and build content systems that let marketing, product, and legal teams publish once, personalise everywhere, and stay fully compliant.

Our marketing software solutions merge structured content modelling, AI-driven personalisation, and automated governance, so releases move at campaign speed without sacrificing brand or regulatory control.

The engagement covers five core services:

• Composable Content Modelling. Define headless schemas, relationships, and localisation rules. Store every block as an addressable object ready for reuse across sites, apps, email, kiosks, or partner APIs.
• Real-Time Personalisation Engine. Implement slot-based delivery and contextual bandit logic that selects layouts, assets, and CTAs per user in <100 ms using behavioural signals, predictive scores, and inventory constraints.
• AI-Assisted Tagging. Apply NLP models to auto-extract topics, sentiment, PII risk, and SEO entities. Enforce policy checks before publishing; tokenise sensitive data for GDPR/CCPA and generate immutable audit logs.
• Multi-Role Editorial Workflow. Orchestrate draft, review, legal, and live states with granular approvals, diff views, and one-click rollback. Integrate version control and metrics to expose who changed what, when, and why.
• Performance Guardrails. Embed pre-deploy validators for canonical links, hreflangs, schema markup, Core Web Vitals, and asset budgets. Block releases that threaten search ranking or site speed; automated alerts fire on drift.

Output: a unified digital-experience layer that serves personalised content at scale, accelerates releases, and safeguards brand and regulatory integrity—so teams create faster and users convert more.