276 sessions across 35 unique accounts during the initial reporting period.
DOPPLER - SOFTWARE & TECHNOLOGY
AI-powered insights that
AI-powered insights that
launch campaigns in minutes
We partnered with Doppler to build the capabilities behind ECO IA, a conversational AI assistant embedded in their marketing platform that connects live account data with natural-language interaction and automated campaign creation.
The result: a production-ready AI layer that reduces the time from account analysis to campaign draft, operates within clear data boundaries, and gives Doppler's team real-time visibility into adoption, costs, and performance.
96%
PROMPT CACHE HIT RATE
8 WEEKS
PRODUCTION BETA LIVE
0
ERRORS IN BETA
About Doppler
Doppler is one of Latin America's most established digital marketing platforms, with over 20 years in the market. It helps thousands of businesses manage customer communications and automate campaigns across email, SMS, WhatsApp, push notifications, social media, and chatbots.
Backed by deep regional expertise and a broad customer base spanning small businesses to large e-commerce operations, Doppler continues to expand its product capabilities to meet growing demand for smarter, more automated marketing tools.
The starting point
Doppler's platform already gave users access to meaningful account and campaign data. They could review performance, identify trends, and spot areas that needed attention. The gap was in what came next: interpreting those signals, deciding what to prioritize, and building the campaign assets required to act on them. For small businesses and e-commerce owners with limited time and resources, it was much harder to sustain. The data was there; the path from insight to action was not. Doppler needed to:
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Help users understand what was happening in their accounts faster.
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Reduce the manual effort required to go from data to campaign draft.
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Make performance analysis accessible to users without dedicated marketing teams.
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Integrate AI capabilities within existing product workflows, not alongside them.
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Build infrastructure to monitor usage, costs, and system performance at scale.
THE GOAL
Closing the gap between insight and action
Our goal was to design and deploy an AI assistant that could read live account data, identify opportunities, and help users generate editable campaign drafts directly inside Doppler's platform, without adding friction to workflows they already knew.
What we did
We helped Doppler design and build ECO IA, a conversational assistant embedded directly in its platform and connected to live account data. Users can request a broad diagnostic or explore specific areas, with the assistant surfacing opportunities across contacts, campaigns, and performance metrics.
When a campaign is requested, ECO IA generates branded HTML based on the company's visual identity, suggests a subject line and contact list, and saves the draft inside Doppler's existing visual editor. The engagement also included a custom monitoring dashboard and support for AI adoption practices, including automated testing and workflow adjustments.
Key initiatives included:
- Conversational AI interface connected to live Doppler account data.
- Automated campaign generation with branded HTML, subject line suggestions, and list recommendations.
- Editable draft creation within Doppler's existing visual editor.
- Prompt caching implementation to reduce inference costs and improve response times.
- Custom monitoring dashboard with real-time visibility into usage, costs, and performance.
- AI enablement program for Doppler's internal development teams.
BEHIND THE SCENES
The tech stack
To build ECO IA, we covered the full delivery scope: AI architecture, product design, backend integration, and enablement. Every layer was designed to operate within Doppler's existing infrastructure, connecting the assistant to live account data and campaign workflows without disrupting the product experience customers already knew.
The core of the assistant runs on Claude, Anthropic's AI model, selected for its ability to handle complex, context-dependent queries in a customer-facing production environment. To keep inference costs predictable and response times consistent at scale, we implemented prompt caching, achieving a 96% cache hit rate during the beta period.
Results
From beta to baseline in eight weeks.
ECO IA launched as a production beta for approximately 300 Doppler Pro users in under eight weeks, including full integration with live account data, campaign creation workflows, and real-time monitoring. The deployment gave Doppler a measurable foundation to evaluate adoption and prepare for broader rollout.
96% prompt cache hit rate, keeping inference costs predictable and response times consistent.
Zero errors recorded throughout the beta.
Account diagnostics, performance metrics, and campaign creation were the three most frequently requested actions.
Real-time monitoring infrastructure now tracks engagement, token costs, latency, and system health continuously.
4x faster from insight to campaign draft, reducing the manual effort required to act on account data.
AI-ready development team at Doppler, with improved practices for testing, validation, and Claude integration.
Looking forward to making
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