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Machine-Learning Technology for Digital Marketing

Project description

Real-time Big Data analysis for digital marketing with the help of AI

Marketing campaigns are highly digitalised, but the tremendous amounts of consumer data regarding preferences, habits and interests can only be useful with very powerful and accurate analytics. Currently, most programmes are either very expensive or only suitable for small advertising accounts, and many do not integrate AI. The Spanish SME Orbital Advertising has developed a methodology that harnesses machine learning and natural language processing. The platform can easily be integrated into current search-engine marketing management tools to monitor keyword usage continuously and in real time. The EU-funded PTC project is helping the team lay the groundwork to reach companies of all sizes in all sectors.

Objective

Digital advertising campaigns must manage massive data, impossible to cope effectively manually. This reduces the quality of targeting, the cross-platform Ads and Keyword Management. As a result, diminishes the marketing performance. Current available tools in the market are either expensive, just suitable for small advertising accounts, and don’t use sophisticated algorithms to incorporate artificial intelligence.
PTC is the first continuous Keyword-feed methodology -big data in real time- based on Machine Learning algorithms & Nature language processing that is applied to Google AdWords. PTC creates, manages and optimizes thousands of ads automatically and in any language, saving time and money. It can be easy implemented being compatible with existing SEM management tools and it can find new terms that can be included as keywords into SEM strategies.
The target market for PTC are the more than 4 million Google advertisers. Our clients will be both companies from any sector –mainly large accounts like banking, tourism brands, marketing agencies- and marketing agencies. Following our business plan, we can reach 270 clients by 2022 including large, medium and small accounts. We believe it is an easy to reach objective since companies and like Telefonica or Cabify and marketing agencies as Nivaria are already interested in PTC and are acting as validators.
In order to accomplish our goal, we have planned an investment of € 1.75 Million for the PTC project attainment. We expect to get a cumulative revenue of €17.8 M by the third year, meaning a cumulative EBTDA of € 5.2 M. Considering a 3-years forecast will give us a ROI of 570%.

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

ORBITAL ADVERTISING SL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
CALLE AMANIEL 30 3B
Madrid
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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