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Who are we? Palo Alto based startup focused on e-commerce conversion solutions Founded in 2011 with expertise in SaaS, analytics & e-commerce marketing.

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Presentation on theme: "Who are we? Palo Alto based startup focused on e-commerce conversion solutions Founded in 2011 with expertise in SaaS, analytics & e-commerce marketing."— Presentation transcript:

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2 Who are we? Palo Alto based startup focused on e-commerce conversion solutions Founded in 2011 with expertise in SaaS, analytics & e-commerce marketing $2m seed round completed Jan, 2013

3 What do we do? Address every e-tailers biggest challenges Increase Conversion Rates Improve Average Order Values Optimize Purchase Incentive Margins 25% Conversion Rate Increase 50% AOV Lift With Fanplayr, up to $ 20% Offer Margin Improvement *Based on current customer data

4 Analyze Segment Target How do we do it?  By Delivering Dynamic, Targeted, On-site Offers in Real-time Analyze visitor behavior Segment traffic Present “The Right Offer at the Right Time” Avoids today’s common “Spray & Pray” approach

5 Competitive Landscape Fanplayr has identified a sweet-spot in e- commerce conversion solutions: Influence customer behavior to drive conversions by delivering on-site, dynamic, real-time offers based on visitor profiles and actions. Closest competitors provide either (i)intelligence into coupon performance through analytics & reporting and/or traffic segmentation (ii)a personalized browsing experience based on customer behavior but not dynamic, real-time offers. Fanplayr delivers both. Static Dynamic Analytics Segmentation Intelligence Personalization …

6 Data Collection Campaign Setup User Experience Reporting Product Overview

7  Add tracking code to site and begin collecting and analyzing traffic  After 3 weeks*, generate Report detailing results and recommended strategies Data Collection Sample Strategies generated:  Conversion Profile Strategy  Conversion Path Strategy  AOV Strategy  Margin Optimization Strategy * Time may vary, depending on site traffic

8 Data Collection Detail Conversion Profile Strategy  Identify Top Profiles for Converting Visitors  Generate campaigns targeted at visitors exhibiting Top Profile behavior but have not converted Sample Top Profiles for Converting Visitors Profiles Performance

9 Data Collection Detail Conversion Path Strategy  Identify Top Path for Converting Visitors  Generate campaigns targeted at visitors exhibiting Top Path behavior but have not converted Sample Top Path Profiles for Converting Visitors Path Profiles Performance

10 Data Collection Detail AOV Strategy  Identify Profiles of Converters that have purchased greater than site AOV  Target visitors exhibiting this behavior that have not yet converted with minimum purchase incentives Sample Top Profiles for Converting Visitors with Purchase > Site AOV Profiles Performance

11 User Experience Present Offer Timing, target & value determined during setup. Claim Offer E-mail address collected, Added to Wallet for later use. Unique code generated. Minimize Offer Unobtrusive but visible. Second Offer Presented Based on cart size, new offer presented with purchase minimum Cart size is increased to take advantage of new offer Coupon is added to cart and discount applied

12 Campaign Setup Detail Carts Links Directly with E-commerce Platform

13 Campaign Setup Detail Carts … Import coupons directly from Ecommerce platform

14 Campaign Setup Detail Carts … and Customize in Fanplayr  Value  Type (%, $ Off, Free Ship…)  Single or Multiple use Promo Codes  Expiry Dates  Minimum Purchase Amounts  Define custom look to digital and printed voucher

15 Campaign Setup Detail Carts Powerful Segmentation Engine  Pinpoint who does / does not receive offers and when  Define segments using visitor attributes including: – Visitor Type (New, Repeat, Previous Purchases,…) – Visit Count (Previous number of visits) – Past purchases (Number or $ amount) – Page Views – Current Cart Value – Device / Browser Type – Include / Exclude Pages Offers will appear – Visit Source, including search terms

16 Reporting Detail Dashboard  Funnel View Campaign Performance – Visitors -> Offers Presented -> Collected -> Redeemed  Selectable Date Range – Day / Week / Month / All / Custom  Key Performance Metrics Displayed – Overall Conversion Rate – Conversions with and without Fanplayr – Overall Average Order Value – Average Order Value with and without Fanplayr – Overall Revenue – Revenue with and without Fanplayr  All Metrics include Trend – Percentage Change over previous reporting period

17 Reporting Detail Analytics  In-depth, real time reporting, broken down by: – Offers – Segments – Sources – Controls – A/B Testing  Selectable Date Range – Day / Week / Month / All / Custom  Drill-down and hover-over capabilities provides intuitive, detailed results  Filtering by Offers, Sources and Segments

18 Reporting Detail Analytics Offers  Display Offers Presented, Collected & Redeemed – Number – % Change from previous reporting period  Drill-down on each metric to display breakdown by – Source – Segment

19 Reporting Detail Analytics Offers…  For Offers Redeemed, reporting includes – Total Revenue – Total Discounts – Average Order Value  Details can be downloaded for further analysis and reporting

20 Reporting Detail Analytics Controls  Display Campaign Controls – Number of Offers Collected – Value of Offers Collected – Monthly Collected limit, as defined in Campaign Setup – Number of Offers Redeemed – Value of Offers Redeemed – Monthly Redeemed limit, as defined in Campaign Setup

21 Reporting Detail Analytics A/B Testing  Define A/B Split During Setup  A Group – Would have received offers based on segmentation rules, but do not  B Group – Receive offers based on segmentation rules  Compare A to B – Traffic – AOV – Conversion Rate

22 Fanplayr Target Retailer: IRCE 12-1000 March 2013 confidential U.S. TAM

23 Sample of S&T Customers

24 March 2013 confidential Revenue Model – Performance SaaS Pricing - % of Transaction e.g. $100 cart @ 2.5% = $2.50 Performance Fee Installation + Managed Services Fee MRC LTV – 5 year $500 - $10,000 $30,000 to $600,000 Sales Direct + Channel - Platform Partners (eBay, First Data…), Solution Partners: Jamu Inc – Japan, Italy Business Model

25 March 2013 confidential Team The Founding Team has successfully worked together to launch, build & exit companies Blaire Caeton Sales Ryan Brown Sales Derek Adelman Co-Founder, VP Operations Rajiv Sunkara Co-Founder, CTO Zach Feinberg Sales David Lubinsky Marketing Tarwin Stroh-Spijer Engineering Simon Yencken Co-Founder, CEO Matt Benton Engineering Ryan Hastie Sales

26 March 2013 confidential Fanplayr has successfully completed its Seed milestones and is looking for venture and or strategic investment to fund expansion Summary Contact Simon Yencken, CEO simon@fanplayr.com +1 (650) 644-9200


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