We orchestrated a modern data-driven lead generation process with the single goal: increase the number of leads that move to the next stage.
2024 Paris Olympics
Combining client-side and server-side data in real-time improved organizational efficiency, and lowered costs.
Preemptive Customer Support
Hyde Park Winter Wonderland
We connected the entire data value chain from customer data acquisition to automated hyper-targeted messages. The company increased its conversion rate and gained significant insight into customer habits, trends, and needs.
AI CX Platform
We performed a data audit and architected a new data warehouse and ETL pipeline. We then leveraged existing customer data and a linear programming engine to develop a scalable, automated, multi-tenant, enterprise SaaS product.
We leveraged event tracking and analytics to understand, troubleshoot, and optimize conversations within all areas of the website.
360 Customer View
Email List Creation
We created a SaaS platform that drives a creator's business and centralizes revenue data into an easily customized dashboard.
We developed the advertising data infrastructure to allow Bidfluence, a programmatic ad exchange, to process 900B data events.
Demand Side Platform
We built a customizable media buying platform tailored to brands, agencies, ad networks, and resellers.
Ad Quality Platform
We created a real-time, automated solution to track every creative and scan for security violations, malware, auto redirects, auto audio, in-banner videos, and popups to filter out contentious ads.
Header Bidding Platform
We created an advanced programmatic advertising technique that is an alternative to Google DFP's "waterfall" monetization method. It offers creators to optimize the revenue of their content.
We scaled the conversion rate of subscriptions by creating visibility into the subscriber's lifecycle. The data drove strategic decisions with comprehensive analytics and timely insights.
We created a cross-promotion engine to drive users between apps in a developer's portfolio using user-product data.
We created a custom two-sided marketplace complete with users, roles, listings, profiles, search, filters, payments, analytics, admin and reviews.
We created a way for a job site to combine data from multiple sources into a single data warehouse.
Product Recommendation Engine
We created a product recommendation engine to analyze data about shoppers to learn what types of products and offerings interest them.
Content Optimization Engine
We created a decision engine to decide what content to recommend to an individual user. The recommendation system works with data that the user provides.
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