Data sources - Unified attribution, AI budget reallocation, anomaly detection, and pipeline contribution tracking. Ad platform spend/performance data, web analytics, CRM pipeline data, marketing automation engagement logs, conversion events, UTM/tracking data, revenue attribution models, and budget allocation records drive intelligent optimization.

Platforms & integrations - Google Analytics, Google Ads, Meta Ads, LinkedIn Ads, HubSpot, Marketo, Salesforce, Tableau, Looker, Power BI, Supermetrics, Funnel.io, and HockeyStack enable real-time performance visibility.

Data sources - AI-operated ideation, audience design, asset production, and multi-channel launch coordination. Human teams define strategy and guardrails; agents assemble segments, spin up creatives, and orchestrate campaigns across email, web, paid, and social.

Platforms & integrations - CRM and CDP data, website behavior, product usage, and prior campaign learnings flow into a single campaign brain that plans, launches, and iterates continuously.

Data sources - AI-accelerated creative development, content adaptation, and micro-personalization across channels. Human teams define narratives, brand platforms, and value props; agents turn them into thousands of on-brand variations, test them, and learn what converts. Creative briefs, brand books, ICP definitions, persona libraries, performance benchmarks, and past campaign winners are continuously mined to propose new angles and formats.

Platforms & integrations - Figma, Canva, Adobe Creative Cloud, Webflow, HubSpot CMS, Braze, Klaviyo, Optimizely, and Dynamic Yield plug-in for end‑to‑end content execution at scale.

Data sources - AI-driven media mix modeling continually recalibrates which channels, geos, and segments drive incremental lift—not just clicks. Historical spend, impression data, conversions, seasonality, macro indicators, and experimental lift tests feed models that forecast impact and recommend mix shifts. Offline and online signals—paid media platforms, TV/OTT, retail media, CRM events, and revenue systems—are fused into a single probabilistic model that runs scenarios on demand.

Platform & integrations - Google Ads, Meta, LinkedIn, DV360, The Trade Desk, Nielsen, Google Analytics, Snowflake, BigQuery, and Tableau/Looker connect for always-on forecasting and mix optimization.

Data sources - Agents translate strategy into detailed plans, validate feasibility, and track execution in real time. They ingest audience definitions, inventory availability, pricing curves, brand safety rules, and historical performance to propose optimal flighting, frequency, and format mixes. As campaigns run, they flag pacing risks, underperforming line items, and missed reach, then suggest corrective actions or auto-apply them under guardrails.

Platform & integrations - Google Ads, Meta, LinkedIn, DV360, The Trade Desk, SA360, Campaign Manager 360, and ad servers connect with project-management tools like Asana, Monday, and Jira for closed-loop activation.

Data sources - AI agents break down creative and campaign performance into the components that matter—hooks, formats, layouts, offers, and CTAs. They tag and cluster assets, correlate patterns with outcomes, and auto-generate insights decks that show what resonates by persona, industry, and stage. First-party engagement data, heatmaps, session replays, survey feedback, social interactions, and conversion logs are fused with creative metadata for granular insight.

Platform & integrations - Google Analytics, Mixpanel, Hotjar, FullStory, ad platforms, DAMs, and BI tools integrate to turn raw performance into creative intelligence.

Data sources - Brand and regulatory guardrails are enforced by agents at creation, approval, and publication. Style guides, claim libraries, legal disclaimers, and regional regulations are codified into policies that evaluate every asset, copy block, and landing page before it ships. Agents scan live campaigns, partner creatives, and user-generated content for violations, risky placements, and adjacency issues, triggering workflows for review or auto-correction.

Platform & integrations - Integrations span DAMs, CMSs, ad platforms, social schedulers, and compliance tools to ensure safe, consistent experiences.

Data sources - Agents orchestrate performance across Amazon, Flipkart, Myntra, marketplaces, and retail media networks. Product listings, pricing, ratings/reviews, search terms, competitor moves, and media investments are processed continuously to adjust bids, content, and promotions. PIM data, inventory feeds, pricing rules, and margin constraints ensure every decision balances visibility with profitability.

Platform & integrations - Amazon Ads, Walmart Connect, Flipkart Ads, Criteo, Citrus, Salsify, ChannelAdvisor, and marketplace analytics tools integrate for closed-loop optimization.

Data sources - Agents reconcile what was planned, what was delivered, and what was billed—automatically. Ad server logs, platform reports, insertion orders, POs, invoices, and finance system records are cross-checked to detect discrepancies, make-good needs, and make reconciliation recommendations. They generate standardized billing packages, map spend to campaigns and accounts, and push clean data into ERP and revenue systems.

Platform & integrations - Google Campaign Manager, DV360, ad platforms, Moat/IAS, Prisma, Salesforce, NetSuite, SAP, and custom data warehouses integrate to make financial operations as autonomous as campaign execution.