Derek Dubner
Analyst · Jim Goss with Barrington Research. Your line is open
Good afternoon everyone, and thank you for joining us today. I am pleased to report yet another strong quarter in revenue and adjusted EBITDA. Before we are getting into quarterly results, let me take this opportunity to explain IDI's vision and roadmap. Our management team has built several leading companies in the data fusion industry over the past 15 years or so. Data fusion is a subset of big data. We amass billions of disparate data points, and we fuse that data using proprietary algorithms to create real-time comprehensive views of individuals, businesses, assets, and their interrelationships. In the early 2000s, we built a company called Seisint. Seisint had brilliant technology for its time, and was ultimately sold to Reed Elsevier’s LexisNexis for $775 million in 2004. We next built a company called TLO, and that company was sold to TransUnion in 2013 for $154 million. These systems have historically served the risk management industry, comprised of financial services, insurance, law enforcement, government, collections, legal, corporate security, and others for the purposes of due diligence, risk assessment, identity verification, legislative compliance, and debt recovery. It has been our mission to create a next generation data fusion platform that not only serves the risk management industry, but a platform that is industry and data agnostic, so that we can bring our core competency of data analytics to the much larger addressable markets of consumer marketing and custom analytics. By custom analytics we mean layering our technology over not just our data assets, but massive end-user databases of disparate, structured and unstructured data, and building intelligent applications so that end-users can glean actionable insight from their own data in order to solve those complex problems. The first quarter of 2016 was the start of a transformative year for the company following our acquisition of Fluent. Through the second quarter, we continue to be encouraged by our financial performance as we invest in technology, data, people, and products to ensure long-term growth, and to avail ourselves of the enormous opportunities that lie before us. Revenue and adjusted EBITDA were $41 million, and $3.1 million, a 4% and 30% growth over first quarter 2016 respectively. The acquisitions of Fluent, in December, and Q Interactive, in June of this year, accelerated our entrance into the consumer marketing industry, and serve to expand upon our data assets, our technologies, our customer base, our product offerings, and thought leadership with demonstrable prior success. We firmly believe that data-driven people-based marketing represents the future of advertising. And we are now well-positioned to better serve the consumer marketing industry through our suite of performance-focused solutions, and to continue taking greater share of overall marketing spend. We are encouraged by various metrics, but several key metrics should be highlighted. First, in the marketing side of the business, over 85% of accounts are driven through direct advertiser relationships as opposed to working through advertising agencies. This represents a tremendous opportunity for growth as marketers focus in on performance metrics, and demand more accountability from their ad spend. Second, over 75% of revenue is derived from mobile. This is a key metric that we remain very focused on, as it not only continues to confirm our thesis for acquiring Fluent, but is what all marketing technology companies aspire to accomplish in order to be competitive in today’s digital marketing environment, and to differentiate the company’s offerings from competitor look-alike offerings. Third, is scale, today we are generating in excess of 700,000 consumer registrations per day. This volume of consumer engagement fuels our insights, and enables us to provide a comprehensive suite of products for omni-channel marketing. We are seeing strong trending in various growth verticals, including mobile apps, where, for example, we are helping one of the world’s largest gaming companies scale their new customer acquisition efforts, jobs on demand, where we are supporting one of the world’s largest transportation and logistics companies expand their driver base, and market research, where some of the world’s largest marketers rely on us to help them gain valuable consumer insights that help form the products and services of the future. In furtherance of our objectives, we created our cloud-based next generation data fusion platform, CORE. Utilizing CORE, we released our investigative solution, idiCORE commercially to the risk management industry in May of 2016. We publically announced that we quickly on-boarded 2,800 users of this product. We are extremely proud of our performance in releasing our investigative product idiCORE to the market. Platforms of this nature have taken upwards of three to four years to build, with massive CapEx involved due to the, now, outdated need to build a large data room, invest in, and maintain significant hardware, and build teams of personnel for support. The time to market this platform was just 14 months from completing our Seattle technology team build-out and cost a fraction of legacy systems due to the platform’s cloud-based construct. This is but one example of the differentiation from competitive offerings, and will enable us to bring this technology to various markets and industries in a far more cost effective manner. We know that there is enormous demand for idiCORE from the risk management industry. We hear it every day from prospects and customers. We hear clear frustration about competitor products, customer service, and price. We are working aggressively to evolve the system in order to expand the applicability to increasing use cases within our target verticals. This is a delicate balance of time and resources, so as to focus on the clearest path to revenue, and on delivering the right solution in order to become engrained in the daily workflow of companies and organizations. Most importantly, the release of the CORE platform is a monumental accomplishment as to where we are going as a company. The power and speed of this platform is like none that I have seen in this industry. That, coupled with machine learning, will deliver incredible solutions to our target markets. In closing, I’m pleased with our progress to date in transforming the company for the future. We had yet another strong quarter following Q1. We continue to develop and release our primary technologies, and have exciting products in our pipeline. And we are expanding upon our data assets, which will further enable the execution of our long-term plan. At this time I will turn it over to Dan, who will discuss the financials.