AI Solutions for the AdTech and MarTech Industry
ThirdEye Data works with AdTech and MarTech teams as a domain-aware AI engineering partner. We build applied AI systems that improve decision intelligence, automate campaign workflows, and help marketing and growth teams act faster with confidence.
Table of Content
What We Do for AdTech and MarTech: Business Value We Bring In
We help marketing and advertising teams turn data into action across the customer lifecycle.
Our work focuses on areas where teams struggle to scale decision-making, personalize engagement, and maintain consistency across channels. This includes customer loyalty programs, sentiment analysis, lead prioritization, and creative operations.
By combining AI engineers with a deep understanding of marketing funnels, attribution models, engagement metrics, and campaign operations, we design solutions that align with how AdTech and MarTech teams actually work.
The result is AI that supports smarter targeting, faster optimization, and measurable revenue impact without disrupting existing marketing stacks.
Our Valuable Customers Who Trusted Us
AdTech and MarTech AI Solutions We Deliver
Agentic Customer Loyalty Assistant
Customer loyalty programs generate valuable data but are often underutilized due to fragmented insights and manual analysis.
We build agentic customer loyalty assistants that analyze customer behavior, transaction history, engagement signals, and campaign interactions to support personalized loyalty strategies.
These assistants help marketing teams understand what drives retention, recommend targeted actions, and support decision-making around offers, rewards, and engagement strategies. The system acts as a decision support layer, not an automated marketer, ensuring humans remain in control.
Sentiment and Engagement Intelligence
Understanding how customers feel and engage across channels is critical but difficult to measure consistently.
We design sentiment and engagement intelligence systems that analyze text, feedback, social interactions, campaign responses, and behavioral data to surface actionable insights.
These systems help teams identify shifts in customer sentiment, understand campaign performance beyond basic metrics, and respond proactively to engagement trends across platforms.
Lead Scoring and Conversion Optimization
Sales and marketing teams often struggle to prioritize leads effectively due to inconsistent scoring models and delayed feedback loops.
We build AI-driven lead scoring and conversion optimization systems that analyze customer attributes, behavioral data, engagement patterns, and historical outcomes.
These systems help teams focus on high-quality leads, improve conversion rates, align sales and marketing efforts, and optimize funnel performance based on real data rather than assumptions.
Automated Creative Content Generation
Creative teams face constant pressure to produce large volumes of content across formats and channels while maintaining brand consistency.
We build AI-assisted content generation systems that support ideation, drafting, variation, and adaptation of creative assets based on campaign goals and audience context.
These systems are designed to support creative workflows, not replace them. Human review and brand controls are built in to ensure quality, consistency, and compliance.
Our Project References
Automating hyper-targeted email marketing campaigns with machine learning to promote products based on the customers’ behavior, includes usage, spending and demographic data.
Developed a multi-agent system that transforms how loyalty programs are managed and experienced for a leading marketing company.
Answering Frequently Asked Questions
Yes. We design solutions to integrate with CRM systems, marketing automation platforms, analytics tools, and content management systems already in use.
We encode business rules, brand guidelines, and approval workflows into the system. AI supports decision-making but does not operate without defined controls.
We design systems to respect consent frameworks, data access controls, and regulatory requirements such as GDPR and similar standards.
Yes. Models and rules are continuously updated using new data, campaign results, and feedback from marketing teams.
We focus on outcomes such as engagement lift, conversion improvement, retention impact, reduced manual effort, and faster campaign cycles.
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