INVESTOR PRESENTATION MARCH 2017
WHO WE ARE 3 INVESTMENT HIGHLIGHTS | COMPANY 9 CUSTOMER OUTCOMES 14 OPERATING AND STRATEGIC HIGHLIGHTS 19 GROWTH STRATEGY & EXECUTION 25 TEAM 28
WHO WE ARE
We collect and use data to drive outcomes • Improve venue performance Data analytics and customer • Promote and drive loyalty engagement platform • Increase operational efficiency • Improve customer experience
The Skyfii IO platform has 3 key elements Data collection, secure guest Real time customer behavioural Data driven, location based access analytics marketing engagement 5
A Single Cloud-Based Solution Multiple Data Source Collection Infrared Cameras Beacons Web Mobile Social POS Wi-Fi SKYF YFII IO ONE CUSTOMER TOMER PLATFOR FORM Venue Performance Targeted Content Delivery Customer Behaviour Automated Marketing Loyalty & Engagement Monetisation 6
Total Business offering Data science projects FY17 • DATA SCIENCE & SERVICES Data consultancy • Splash page ads FY15/16 FY17 FY17 • ADVERTISING & SPONSORSHIPS Interstitial video • CRM marketing • ENGAGE SMS, Email, App, Video • Data collection • Guest access • IO CONNECT IO INSIGHT Analytics insights • FOUNDATION DATA LAYER
Competitive landscape Profiling, segmentation, loyalty, VALUE PROPOSITION Customer Insight membership, CRM Skyfii IO is ahead of the trend – with Proximity messages, notifications, emails, Marketing Tools SMS, mobile SDK, captive portals features that matter most Shopper conversion, display effectiveness, Analytics staffing optimisation, weather, dashboard Traffic measurement, pathing, Measurement heat maps. hardware 8
INVESTMENT HIGHLIGHTS COMPANY OVERVIEW
Investment highlights Strong ng existi ting ng revenue nues – 1HFY17 revenue of $1.386m, up 26% ▪ pcp ($1.9m annualised recurring revenues based on Q2 FY17) Recurrin ing revenue nue base on minimum um 3 year contrac act t terms ▪ backed by blue chip customers Global al growth h opportun tunit ity targeting an $8.5bn market with ▪ exist sting ing converti tible le pipeli line ne totali taling ng $68m $68m over 5 years s (circa $13m per annum) Strong ng penetrati ation n into growin ing number of verticals icals (Retail, ▪ Transit, Education, Government) Recent nt major contrac tract t wins anno nounc unced in 2017 (Durham ▪ University, City of Cincinnati, Brazil expansion (Aliansce) New revenue nues stream ams accrui uing ng in current quarter (Q3 FY17) ▪ from Data Science & Advertising Sponsorships 10
Key customers AUSTRALIA INTERNATIONAL UK Retail Municipalities Transit (In Pilot) Education Scentre Group
Qualified sales pipeline snapshot 5 year qualified advanced stage pipeline of $68m+ 1 Equivalent to $13m in annual revenues • Existing & new verticals • Qualified prospects • Presentation Pilot Phase Contract Subscription & Roll out (8 weeks+) Negotiation revenues Demonstration • IO Connect (guest access) • IO Insights (analytics) • IO Engage (marketing) 3-5 year contracts 1 Assuming full roll out and 5 year contract terms excluding additional revenues from advertising and data services. Defined as proposals presented, pilots underway and submissions tendered.
Company overview Key Market t Stati tisti tics ASX code SKF Composit itio ion n of Shareho holde lders (Mar-17) Share price (21 Mar 2017) A$0.055 Market capitalisation (21 Mar 2017) A$14.3 million Retail Management 19% 20% Total shares outstanding 260.6 million Cornerstone / Institutional Cash Balance 31 Dec 2016 (pro-forma 1 ) A$5.6 million 4% HNW investors* 57% Key Shareho holding ldings Shares Held White Family 36,061,587 Bruce Gordon 15,392,436 * Includes shareholdings of more than 400,000 shares Jan Cameron 17,009,380 • Tightly held – Top 20 shareholders hold ~70% • Peter Gammell, Richard Freudenstein joined the register at last raise in Dec 2016 1. Pro-forma cash balance as at 31 December 2016 plus gross capital raised in February 2017. 13
CUSTOMER OUTCOMES
Improve customer retention Goal al: Impro rove ve reten ention n thro rough h engaging ng and reward arding ng shopper ers Action: n: Analysing in store customer behaviour and preferences to drive more effective marketing Features ures: • Location & Gender specific offers driving higher food court consumption • Customer profiling via survey tool gathering timely, qualitative, Outcome: e: • Higher food court consumption • Detailed customer survey data • Increase in loyalty membership base
Identify key venue attractors Goal al: Determ ermine ne which zones nes are the key centre re attrac ractors rs How many people use the food court and nothing else? And of the people that use the food court what other areas of the centre do they shop and when? Action: n: Using our real time travel pathing capability and heat mapping feature we can plot and predict zone based conversion and dwell time to identify key zones Outcome: e: Re-orientation of food court precinct to drive more centre wide foot flow
Improve taxi queue wait times Goal al: Under erstand and taxi queue ue wait times over er a peri riod of time How long are people queuing in total vs number of taxis available and staff on site Action: n: Using our time stamp and dwell time algorithms we can assess overall dwell time by devices within the specific queue areas Outcome: e: A detailed understanding of busiest times of day and days of week to assist in workforce planning and in advance notification to taxi ranks 17
Understand precinct usage Goal al: Under erstand and which h areas as of the Univers versity y get more re usage e and dwel ell than others ers How do students commute across campus and which routes are most common and lecture hall occupancy Action: n: Using our real time travel pathing capability and heat mapping feature we plot and predict zone based conversion and dwell time to identify key zones, travel paths and high dwell areas Outcome: e: Determine a lack of students returning to boarding houses for pre paid lunches based on travel time. Optimise classroom occupancy and work force management 18
OPERATING & STRATEGIC HIGHLIGHTS
Revenue Generated Across 3 Streams 1 2 3 SUBSCRIPTIONS TRANSACTIONS SERVICES Recurring revenues on 3- Data as an ingredient to Helping drive business 5 year contracts drive a sales or marketing outcomes through ‘IO platform’ outcome effective use of data IO Connect (guest access) Advertising partnerships Data science services • • • 3 rd Party Sponsorships IO Insights (analytics) Data consultancy • • • IO Engage (marketing) • 20
Significant growth in operating revenues Total revenues continue to grow with increased contribution from recurring revenue channels Strong growth in total opera peratin ing g reven revenues es to • Total Operating Revenues A$ A$1. 1.386m 386m in 1HFY17, up +26% on pcp Strong growth in rec recurr rrin ing reven revenues es to A$883k in 3.0 • 1HFY17, up +117% % on pcp (A$1.9m annualised based on Q2 2.5 FY17) 2.0 ($m) 1.5 $1.4m Rec ecurr rrin ing reven revenues es are generated from on-going • $470k $470k 1.0 subscription fees for access to Skyfii’s ‘IO’ data analytics platform 0.5 $883k $883k - Non-rec No recurr rrin ing g reven revenues s are generated from • FY14 FY15 FY16 1HFY17 implementation and upfront setup fees and through the Recurring Non-recurring upsell of other transa ansacti tions ons and d servic rvices including marketing and content delivery tools and data science capabilities 21
Significant growth in recurring revenues Recurring revenues from subscriptions and managed services continues to accelerate Strong growth in recurring revenues to to Annualised Recurring Revenues • A$883k in 1HFY17, up 117% on pcp 2.0 Current annualised recurring revenues of • 1.5 A$1.9m , up 115% on pcp* ($m) 1.0 0.5 - Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 FY15 FY15 FY16 FY16 FY16 FY16 FY17 FY17 * Annualised based on Q2 FY17. 22
Strong growth in analytics and marketing capability Data analytics grows to 120 million visits per quarter, marketing capability to 6.7 million users* Total User Registrations (millions) Quarterly Customer Visits (millions) 8.0 120.0 100.0 6.0 80.0 4.0 60.0 40.0 2.0 20.0 - - Jun-14 Sep-14 Dec-14 Mar-15 Jun-15 Sep-15 Dec-15 Mar-16 Jun-16 Sep-16 Dec-16 Jun-14 Sep-14 Dec-14 Mar-15 Jun-15 Sep-15 Dec-15 Mar-16 Jun-16 Sep-16 Dec-16 * As at 31 December 2016 23
Recommend
More recommend
