Every ad network makes more money when advertisers manually manage their ads as a whole because there is so much testing involved and campaigns aren’t perfectly optimized by individual paid media managers. Ad managers put up and pay for multiple ads at once to see which performs best. Many times what works best ends up surprising them and ends up taking a lot of time and money to discover. Also humans can’t effectively optimize their campaigns 24 hours a day. Even with the help of current paid media management software, there still remains a heavy manual workload from people. That being said, a great majority of Facebook’s revenue comes from third-party marketing developers like us who support and provide custom solutions to advertisers. The only problem right now is none of these third-parties are fully automating the management of campaigns.

By using technology and data science our campaigns perform 145% better than a manually managed campaign. A lot of that has to do with the fact that we can monitor and make changes to campaigns 24/7 whereas a human only has 8-10 hours of a day that they're actually manually managing this campaign.

What we've built is a neural network - a form of machine learning – that automatically reads current ad prices, analyzes trends from past performance, and serves ads in the most cost effective markets instantaneously. Our data-driven Intelligence System is backed by over three years of data-science engineering across 300 million dollars in ad spend data. The Intelligence System automatically discovers the perfect combination of creative, target market, and bid to help advertisers maximize conversion volume and minimize conversion cost. When a major competitor is entering a target market, and before they actually start spending we'll pause our ads before the price jumps. When a competitor is pulling out of a target market Kuhcoon will trigger ads to start spending again as the price drops. We’ve also built automation technology to segment every target market into several different ad sets. For the first 24-36 hours, Kuhcoon collects baseline data by running one ad in each target demographic. Once we have that data, we optimize by constantly driving the budget into a single top-performing ad. We base performance on two key metrics: cost and volume of conversions. So if an ad is performing really well and all of a sudden we detect falling performance, we'll pause that ad immediately and create a new ad in a different segment that we predict is going to perform better based our baseline data, our in-house dataset, and real-time prices from Facebook’s API.

The majority of products in the market are managed services companies that make it easier for people to manage ad campaigns – like the basic Facebook ad manager with a few more bells and whistles. They all claim to optimize your ads with “rule-based optimization.” Which allows the ad manager to set rules like price ceilings on specific ads. The problem with that is that most ads never get a chance to actually perform when you're using rule-based optimization because the rules are too strict and aren’t based in real-time data. If an ad is really effective at a slightly higher bid price, and the cost per conversion is actually lower Automate ads will serve that ad again and again. The other big problem with rule-based optimization is 95% of advertisers are confused by it and are unsure of what to bid. Additionally, most software (including Facebook’s and Google’s own ad managers) randomly selects which creatives to serve and never tests the effectiveness of each individual ad. We’re combatting the random selection process by giving every creative, every message, and every target market a chance to actually perform and then optimize for the best ads. Automate Ads makes optimization decisions based on data and not just random tests coupled with arbitrary rules.

Yes, anyone can sign up, connect an ad account, and create their first campaign all within 5 minutes. Most ad tech companies and agencies require some form of paid demo and long form sales process. We offer an open solution that makes it easy to capture the tail end of the market with very minimal effort. We also have an industry agnostic product that really can suit almost every advertiser.

We’re going after what we call the "mid-market,” companies spending anywhere from $20,000-$500,000 a month in specific verticals like technology, e-commerce, and early stage startups. Most of these companies have 1-4 marketing managers who all wear multiple hats, they don't have the time to sit here all day and manage campaigns. With Automate Ads, they can automate much of their advertising work and focus on the creative or other parts of the business. They also don’t have to hire another person or allocate one of their marketers full-time to this task. And we’re robust enough that we can grow with any company as they scale. We’ve been talking to many mid-market e-commerce and mobile app companies that have a hard time scaling their paid acquisition strategy. They all want a plug-and-play solution so they can finally bring their entire marketing process in-house. Automate Ads allows them complete freedom to create the ads, but then takes over the entire management burden so they no longer have to give away 10-15% of their budget to an agency.

Our campaigns average 145% ROI vs a manually managed campaign of the same budget. We know this to be true because we have all the data from advertiser’s past campaign performance. We can see their past campaigns and compare that performance to the campaigns after Automate Ads takes over. Again, the reason that we're performing better is because our system is monitoring their campaigns 24/7 as opposed to 8-10 hours a day. The other thing is humans are fallible. Humans make mistakes, and technology and data science are less prone to mistakes. Right now our Intelligence System can predict market shifts with 81% accuracy and as we collect more and more data that gets stronger and stronger over time.

No, the creative component of making ads will always be critical. We’re going to replace the industry of people that are actively managing campaigns.I always say that optimization of paid media campaigns is 50% human and 50% technology. No software can replace the creative mind of a human, but a computer can optimize ad placement and timing much better than people can. So, we're not necessarily trying to kill the agency, we're trying to work with creative agencies while eliminating the need for a paid media manager.

We are. We’ve already signed on agencies that use us to manage their clients' accounts. They'll charge their client 10-15%, give us the 5% for actually doing all of the heavy lifting, and then not tell their clients that they're using us. We are ok with any advertiser using our product, but most paid media agencies still see us as a threat, which makes this strategy difficult. Hopefully we can prove that this technology is the future and they can either adopt us now or inevitably sometime down the line.

We launched a soft launch in mid-January and then we went public in mid-February on TechCrunch and since then, we've on-boarded over 1,800 advertisers. Those advertisers are managing $50,000 a week through our system, and we take 5% of everything they spend. We eat our own dog food, and acquire many of our advertisers by using our own product to do so for approximately $25 per client. We’re also adding 10-15 new clients a day via word of mouth. But we're in the process of finishing up our AdWords integration, and want to wait to ramp up acquisition until we can offer both Facebook and Google ad management.

They’re all transitioning slowly; it takes a while because many of our customers have hundreds or even thousands of campaigns. We’re trying to make it a lot easier for them to transition those campaigns so they don't have to recreate every single campaign one-by-one in Kuhcoon. So we’re building technology to automatically pull all active campaigns onto the Kuhcoon platform. Our first customers, the ones that signed on in January and February have transitioned all of their ads to Automate Ads. Most customers seem to test the system for 30-60 days before fully transitioning their ad management system. Our new tech will speed this up by allowing customers to push one button and transition all of their active campaigns into Automate Ads automated campaigns.

Before this we were a paid media agency for about 2 years manually managing campaigns for clients. We saw how inefficient the process was, and built an in-house system to automate it all. First we built the Neural Network, the optimization technology behind the system over the last 2-3 years. We used this optimization system in-house to optimize our client’s campaigns. We realized how well the technology would apply to ad tech as a whole and started building a neural network to optimize our client's paid media campaigns. Then we expanded the functionality to allow us to manage ads from our phones using an app. This was our first product that launched in January of 2014. We never advertised it, but several hundred customers found us and became our beta users. We started learning that they had a lot of familiar pain points with the day-to-day task of managing campaigns. We then focused on ad automation and launched the full version three months ago.

There’s myself and my co-founder and CTO Charles. I initially started consulting during my sophomore year at college and have been in the paid media and digital marketing for about 5 years. I lead all the business development, marketing and finance aspects of Kuhcoon. Charles (we call him CJ) has over 8 years experience in web application development, specifically in PHP, Javascript, MySQL, NoSQL (MongoDB, BigTable, etc), Java, and Ruby on Rails. His application development has ranged from analytics/graphing platforms to investment banking dashboards, advanced big data collection, and processing from public social media API's. Charles developed and designed our backend neural network and web automation technology. We also have Liz Barrett, who is our president of mobile. She built our iOS, iPad and Android apps. Liz has previously worked on projects for the US Postal Service and some other big clients at a mobile development company in Pennsylvania. We're also in the process of hiring a front-end engineer right now and another backend engineer. It’s a small team, but we have a lot of experience and we’ve built a lot together.

The purpose of this round is to expand our team over the next 6-9 months and have a budget for paid acquisition. We plan to get to $250,000 monthly recurring revenue by the end of 2015, early 2016.

We’ve spent a lot of time perfecting our onboarding process to make it as easy as possible. Potential customers can sign up directly on our website in about 5 minutes. Users sign up with an email, password, and Facebook/Google ad account. They then add a credit card and create their first campaign. The first campaign only requires 3 data points: how much they want to spend, the target customer, and the campaign goal. They upload 4 images and 4 different messages for the A / B test. Once they hit create, it’s all set and they can forget about it. We'll completely manage it. We'll optimize it, and it requires very minimal effort from the advertiser. Our competitors have long arduous sales processes with sales reps, tedious onboarding training, etc. We can get a new customer going in just five minutes.

First, we’re in the process of rebranding to "AutomateAds.com" because it makes a lot more sense and is exactly what we do. The URL will be great for search and 'Automate Ads' will legitimize the product a lot more in the marketplace. The second step for growth is perfecting our paid acquisition strategy. Right now we pay $25 per customer but we’ve done very minimal testing of our own ads, and are certain we can do better than this. Once we perfect that, it's all a matter of scaling and then developing our own direct sales process focused on new verticals we want to tackle, specifically, mobile gaming, e-commerce, and recently funded fast growing startups. Our bread and butter customer will be those advertisers that spend $20K-$500K per month. We’ll be building out our sales team over the next few months to handle this target market. Our site makes it super easy to generate leads, the second someone connects their ad account to our system, we can see what brands they are working with, we have all of their contact information, and see how much money they're actually spending or how much money they've spent in the past. Everyone who signs up will be a super warm lead, and all this information will allow us to target advertisers that are actually worth our time. We’ll also have a higher touch sales process for really big potential customers. Bigger advertisers with huge budgets aren’t necessarily going to on-board themselves and just give Automate Ads a try. But these guys will be a huge revenue stream for us, and our sales team will give them the soft touch necessary to signing big clients. That being said, the platform is 100% self-serve. It doesn’t matter whether a customer is spending $1,000 a month or $500,000, they can still sign up in five minutes and start automating their ads right away. Finally, we’re expanding the automation platform to handle mobile ad networks like: Google, Yahoo! Search, Bing Search, Pinterest, Twitter, etc; which will really expand our potential client base. As the product continues to progress, and we integrate these new paid media channels, our advertisers will have new opportunities to spend money across other channels as they transition those ads to be managed by Automate Ads. There is a huge upsell opportunity for every ad network we ad to the platform. Integrating mobile ad networks and Google Adwords in early May will be especially huge for us.

Really, it's about getting to market. That's probably the biggest fear right now. We’re a small team so competitors underestimate our product and think it’s just another re-skinned ad manager. But all of the magic is happening on the backend, all the optimization and automation is something most potential clients don’t see at first until they actually run a campaign. Our data science technology is really unique and definitely our strongest asset, but we still have to get this product out there, tell everyone, and get people using it before another automation platform pops up.

This neural network is what we’ve been building over three years. My co-founder specializes in big data and data science engineering and it's not something that a large technology company can just throw a couple of engineers at and build. It would take a really good team 6-12 months just to get something up and running. By the time that happens, we'll be a dominant player in the space. There is nobody competing directly with us right now because what we’ve built is so new.

Last year, Facebook advertisers and Google Advertisers spent $71 Billion. What's happening right now is a multi-billion-paradigm shift in paid advertising where budgets are shifting from newspapers, magazines, radio, and TV into digital ads, specifically into social and mobile ads. Just to give you a more general idea, Facebook has 2,000,000 total advertisers. But there are 25,000,000 brands that exist on Facebook and only 2,000,000 have ever created a single ad - 500,000 of those 2,000,000 created their first ad in the past 9 months. Of those 500,000, probably 495,000 of them are small and medium businesses and our exact target market. And that’s just Facebook. Over the next 2-5 years, we're going to see this market increase by billions of dollars. Online advertising is still in its infancy. We’re getting in this market early with an all-in-one solution that only takes a few minutes to set up. We’ll be able to test every ad across every paid media channel, figure out which media channel works best for that specific campaign, and drive their budget into the channels that work the best. Right now, nobody is doing that.