This document discusses optimizing Payforit transactions on mobile websites. It notes that using mobile transactions (MT) leads to faster average time on the first page (34 seconds) than mobile optimized (MO) transactions (82 seconds). The document also recommends analyzing site usage through logging to improve latency, dwell time, and drop off points. A case study highlights how Spareroom.co.uk uses Payforit to boost listings and view landlord details early with a freemium model.

1. Optimising Payforit
Chris Newell

2. Payforit Experience
 Using Payforit since May 2009
 200 active Payforit clients
 Spare room
 Virgin Trains, Cross country trains
 Secure Trust bank
 Cashbackcard.com
 Co-chair of AIME Payforit group
 AIME board member

3. Embed approach

4. Page drop off
- 50%

6. Latency
 Creates drop in transactions
 Site becomes frustrating to use
 10%+ people typically abandon
 Image optimization, CDN, caching

7. MT Hyperlink

8. Issues to watch for
 Blackberry pin difficulties
 Harder to remember pin code
 Message delivery speed

9. MO method

10. MT-MO Hybrid

11. Analyse your site
 Log & timestamp every action
 Monitor to improve:
• Latency
• Dwell time
• Drop off points
 Split test improvements

12. Average time on first page
Mobile
Single click: 12 seconds
MT method: 34 seconds
MO method: 82 seconds
Web
MT method: 26 seconds
MO method: 60 seconds

13. Case Study

14. Spareroom.co.uk
 Uk’s #1 flat sharing website
 Someone finds a flatmate every 3 mins
 Freemium model
• Pay to view landlord details early
• Pay to boost your advert

15. Payforit 3 Payforit 4

16. Find out more
AIME seminar @ 2pm
AIME training course - 27th June
Twitter: @CN_UK
Email: Chris@ImpulsePay.com