Optihau Deep learning platform to improve your digital marketing channels structure
Optihau cross-channel optimisation Achieve more with less: improve your sales by ~10% through channel structure optimisation while reducing total marketing spend 1 Make your data work for you: use your own history to drive performance without need for a large investment in a data science team Reduce dependency on tracking each customer journey and stay compliant with data regulations and increased privacy demands 1.Results of preliminary Optihau studies
Challenges of customer journey approach Interaction 2 Interaction 3 Conversion Interaction 1 Usually independent approach to spend and Measuring effectiveness based optimisation on an attribution model Privacy and cookies regulations and using multiple devices create gaps in data ● Spamming users with overload of ads ● Attribution ≠ Optimisation: even a good attribution model misses nonlinear ● interactions and cannibalisation effects Losing out ~20% sales increase and ~30% cost reduction (benchmark of companies ● using own data to optimise execution across channels vs. non-data driven competitors) 1 1.Source: BCG Mastering Digital Maturity Report
Our proposition: Adding new dimensions ● Looking at marketing at population level, reducing dependency on user journey tracking and data quality ● Evaluating marketing mix and understanding channels interactions ● Accounting for history and time dependency ● Continuous change and reevaluation Challenge: too complex for simple analytical approaches
Our proposition: AI untangles complexity Data We use deep learning model, trained on your historical data to discover Science as a complex dependencies between spend across channels and conversions tool No cookies or personal data collected - no clash with GDPR, no need GDPR to track each user’s journey bulletproof Optimal channel structure tailored to your needs, whether it is cost cutting ● Actionable or expansion of marketing campaigns results ● SaaS platform gives you opportunity to run report at any time and ○ SaaS model ongoing support ● Independent point of view: we are not providing advertisement and ● Unbiased reduce your dependency on agencies
How does it work? ● Spend Optihau recommends ● Creatives optimal distribution of ● Bid price Channels budgets across channels ● Clicks Programmatic __optimization ● Spend ● Growth forecast for you Impressions ● Bid price AdWords Projections sales ● Placement Investment ● Areas of your marketing Number of emails Email ● Clicks potential strategy to benefit most ● Bounce rates from additional investment Social Media Management Info ● Marketing managers Analytics to help decision salaries ● Type of SMM making ● Likes,Shares
Sample report
Looking for partnerships for pilou project We are happy to provide free ad-hoc analytical projects to e-commerce businesses, that could support us in defining the enhancements to our tool. Looking for a partner that: Operates performance marketing campaigns across at least 2-3 channels ● and £10k+ monthly spend Ideally, we need historical data from the last 6 month to train our model. ● Is interested in implementing our recommendations. ●
Pilou project: driven by your requirements 06 Additional features 01 Your requirements 01 or channels A meeting to discuss your Are there other ways we can 06 02 situation, sales growth plans and make our product work best for marketing channels you? 05 Ad-hoc results 02 Data collection You advise us on what insight are Data is collected through a mix of the most useful for you and the API (Google, AppNExus, Facebook) 05 optimal format of the reports and direct data transfer 03 04 Statistical analysis 04 and projections 03 Training ML model We analyse statistical We train our machine learning dependencies and make model to fit your data recommendations on the optimal budget distribution
Please contact us Website: optihau.com Email: info@optihau.com LinkedIn: https://www.linkedin.com/company/optihau/
Recommend
More recommend