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Yield Optimization Strategies April 24, 2008
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Steve Small PRESENTER BACKGROUND
Agenda ,[object Object],[object Object],[object Object]
Revenue Management is Real Money   AMLI’s property data is computed using the NCREIF formulas, summarized by market and compared against the lowest meaningful index Simple compounded rate of the most recent four quarters is used for comparison Data in the chart to the right is for 2Q06 through 1Q07 AMLI vs. NCREIF – Annual NOI Growth  0.30% 4.80% 5.10% Florida 0.79% 5.21% 6.01% Total Portfolio 1.04% 5.02% 6.06% Seattle 1.05% 5.35% 6.40% New Jersey 0.71% 4.47% 5.17% Southern California 0.38% 6.17% 6.55% Kansas 0.78% 5.03% 5.80% Denver 0.64% 5.20% 5.84% Chicago 0.77% 5.45% 6.21% Atlanta 0.73% 5.51% 6.24% Dallas 0.54% 5.48% 6.02% Austin 0.68% 5.72% 6.40% Houston Rolling 1 Year NOI Return Variance NCREIF Index  AMLI Properties  Region
Revenue Management is Real Money   Wachovia REIT Performance
Global Perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],KEY ASPECTS
Transforming the Enterprise ,[object Object],[object Object],[object Object],[object Object],YIELD OPTIMIZATION
Agenda ,[object Object],[object Object],[object Object]
Improved revenue on operations ,[object Object],It is instructive to understand elasticity of the conversion ratio for demand.  Elasticity measures the responsiveness of quantity demanded to a change in price, with all other factors held constant. ELASTICITY
Computing price elasticity of demand (Sensitivity)
Interpreting the value of elasticity ELASTIC or INELASTIC Response to Price Changes Responsive Unresponsive Proportional Value of Elasticity E d  > 1 E d  < 1 E d  = 1  Demand Elasticity Elastic Inelastic Unitary elastic Magnitudes of Change %  Q D   >  %  P %  Q D   <  %  P %  Q D   =  %  P Type of Elasticity Elastic Inelastic Substitutes Available Many Few The main determinant of demand elasticity is the availability of substitutes
Factors affecting the price elasticity of demand ,[object Object],[object Object],[object Object],[object Object],[object Object]
Predicting changes in total revenue ,[object Object],This graph shows the relationship between elasticity along a linear demand curve and total revenue.  Note the following: ,[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object]
Consistent Message and Processes “ HUGO” -  OUR HEGDEHOG
Tier Report   PORTFOLIO AT A GLANCE
Performance Dashboards   ,[object Object],[object Object],[object Object],MONITOR ORGANIZATION IN REAL TIME
Key Performance Indicators   DASHBOARDS
Measures Individual Performance DASHBOARDS
KPIs Presented “Over Time” STORE DASHBOARD
Market Survey PROPERTY OVERVIEW
Leasing, Marketing & Servicing ,[object Object],[object Object],[object Object],[object Object]
The New AMLI.com BE MORE CONNECTED
Real Time on AMLI.com UNIT PRICING & AVAILABILITY
Pricing Matrix DELIVERY OF MULTIPLE LEASE TERM PRICING
AMLI is a Leader AMLI IS 3X THE RENT.COM AVERAGE (2006) REIT Performance metrics (YTD 2006) Lead to Lease Conversion – weighted average per property
AMLI Trak CRM LEAD FOLLOW-UP SYSTEM
Prospects RECORDED IN DBMS & EMAILED TO COMMUNITY
Responses COACHED & RECORDED
Follow-up Reminder  IS QUEUED
Another Follow-up Reminder BY EMAIL TO COMMUNITY STAFF
Creates an e-mail Response ALSO COACHED
Also Creates a Future Reminder IF PROSPECT LEASES ELSEWHERE
AMLI  PhoneTrak CAPTURES CALLER DATA AND PROVIDES UNIT AVAILABILITY
AMLI  PhoneTrak CAPTURES CALLER DATA AND PROVIDES UNIT AVAILABILITY
AMLI  PhoneTrak ,[object Object],[object Object],[object Object],[object Object],BENEFITS
AMLI  PhoneTrak TOOL FOR COMMUNITY STAFFING DECISIONS
AMLI PhoneTrak   TRACKS CALLS GOING TO ANSWERING SERVICE
Revenue Management ,[object Object],[object Object],AMLI Residential RENT CHEQUE
Comparison to Other Industries REVENUE MANAGEMENT
[object Object],[object Object],[object Object],[object Object],Revenue Management NET EFFECTIVE RENT PRICING
Revenue Mgmt Roadmap TRANSITION PLAN Automated auditing and compliance management of all fees and other income No Fee focus, (admin, app.. Etc) No Fee focus, (admin, app.. Etc) Fees & Other Income Sophisticated compliance validation and exception reporting Manual checking, time consuming Manual checking, time consuming Compliance New and Renewal New leases only New leases only Prices Generated Opt Out Opt in No forced ownership Ownership Integrated / Automatic &quot;Push&quot; &quot;Pull&quot; Information Delivery 256 and beyond 64 Information pulled from disparate reports Separate logic cases Daily, or as required (after each new transaction?) 2 or 3 times a week &quot;When we got around to it&quot; Pricing Frequency End State Transition Previously Concept
Revenue Opportunity NET EFFECTIVE VS. CONCESSION BURN-OFF
Revenue Opportunity MAXIMUM CAPTURE VS. FREQUENCY
Actual Pricing EXAMPLE OF “PUSH” REPORTING
Metrics A LITTLE OF THE MATH INVOLVED Occupancy Change Adjusted Availability Traffic Index
Outcomes 64 UNIQUE SOLUTIONS Traffic Index Adjusted Availability Occupancy Change
Anatomy of a Lease OPTIMIZING EACH LEASE FOR MAXIMUM REVENUE Seasonal lease expirations adjustment Front loaded vacancy Turn cost amortization
Pricing Matrix DELIVERY OF MULTIPLE LEASE TERM PRICING
[object Object],[object Object],[object Object],AMLI Residential CONTACT INFORMATION

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New Topics in Revenue Management

  • 2.
  • 3.
  • 4. Revenue Management is Real Money AMLI’s property data is computed using the NCREIF formulas, summarized by market and compared against the lowest meaningful index Simple compounded rate of the most recent four quarters is used for comparison Data in the chart to the right is for 2Q06 through 1Q07 AMLI vs. NCREIF – Annual NOI Growth 0.30% 4.80% 5.10% Florida 0.79% 5.21% 6.01% Total Portfolio 1.04% 5.02% 6.06% Seattle 1.05% 5.35% 6.40% New Jersey 0.71% 4.47% 5.17% Southern California 0.38% 6.17% 6.55% Kansas 0.78% 5.03% 5.80% Denver 0.64% 5.20% 5.84% Chicago 0.77% 5.45% 6.21% Atlanta 0.73% 5.51% 6.24% Dallas 0.54% 5.48% 6.02% Austin 0.68% 5.72% 6.40% Houston Rolling 1 Year NOI Return Variance NCREIF Index AMLI Properties Region
  • 5. Revenue Management is Real Money Wachovia REIT Performance
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Computing price elasticity of demand (Sensitivity)
  • 11. Interpreting the value of elasticity ELASTIC or INELASTIC Response to Price Changes Responsive Unresponsive Proportional Value of Elasticity E d > 1 E d < 1 E d = 1 Demand Elasticity Elastic Inelastic Unitary elastic Magnitudes of Change %  Q D > %  P %  Q D < %  P %  Q D = %  P Type of Elasticity Elastic Inelastic Substitutes Available Many Few The main determinant of demand elasticity is the availability of substitutes
  • 12.
  • 13.
  • 14.
  • 15. Consistent Message and Processes “ HUGO” - OUR HEGDEHOG
  • 16. Tier Report PORTFOLIO AT A GLANCE
  • 17.
  • 20. KPIs Presented “Over Time” STORE DASHBOARD
  • 22.
  • 23. The New AMLI.com BE MORE CONNECTED
  • 24. Real Time on AMLI.com UNIT PRICING & AVAILABILITY
  • 25. Pricing Matrix DELIVERY OF MULTIPLE LEASE TERM PRICING
  • 26. AMLI is a Leader AMLI IS 3X THE RENT.COM AVERAGE (2006) REIT Performance metrics (YTD 2006) Lead to Lease Conversion – weighted average per property
  • 27. AMLI Trak CRM LEAD FOLLOW-UP SYSTEM
  • 28. Prospects RECORDED IN DBMS & EMAILED TO COMMUNITY
  • 30. Follow-up Reminder IS QUEUED
  • 31. Another Follow-up Reminder BY EMAIL TO COMMUNITY STAFF
  • 32. Creates an e-mail Response ALSO COACHED
  • 33. Also Creates a Future Reminder IF PROSPECT LEASES ELSEWHERE
  • 34. AMLI PhoneTrak CAPTURES CALLER DATA AND PROVIDES UNIT AVAILABILITY
  • 35. AMLI PhoneTrak CAPTURES CALLER DATA AND PROVIDES UNIT AVAILABILITY
  • 36.
  • 37. AMLI PhoneTrak TOOL FOR COMMUNITY STAFFING DECISIONS
  • 38. AMLI PhoneTrak TRACKS CALLS GOING TO ANSWERING SERVICE
  • 39.
  • 40. Comparison to Other Industries REVENUE MANAGEMENT
  • 41.
  • 42. Revenue Mgmt Roadmap TRANSITION PLAN Automated auditing and compliance management of all fees and other income No Fee focus, (admin, app.. Etc) No Fee focus, (admin, app.. Etc) Fees & Other Income Sophisticated compliance validation and exception reporting Manual checking, time consuming Manual checking, time consuming Compliance New and Renewal New leases only New leases only Prices Generated Opt Out Opt in No forced ownership Ownership Integrated / Automatic &quot;Push&quot; &quot;Pull&quot; Information Delivery 256 and beyond 64 Information pulled from disparate reports Separate logic cases Daily, or as required (after each new transaction?) 2 or 3 times a week &quot;When we got around to it&quot; Pricing Frequency End State Transition Previously Concept
  • 43. Revenue Opportunity NET EFFECTIVE VS. CONCESSION BURN-OFF
  • 44. Revenue Opportunity MAXIMUM CAPTURE VS. FREQUENCY
  • 45. Actual Pricing EXAMPLE OF “PUSH” REPORTING
  • 46. Metrics A LITTLE OF THE MATH INVOLVED Occupancy Change Adjusted Availability Traffic Index
  • 47. Outcomes 64 UNIQUE SOLUTIONS Traffic Index Adjusted Availability Occupancy Change
  • 48. Anatomy of a Lease OPTIMIZING EACH LEASE FOR MAXIMUM REVENUE Seasonal lease expirations adjustment Front loaded vacancy Turn cost amortization
  • 49. Pricing Matrix DELIVERY OF MULTIPLE LEASE TERM PRICING
  • 50.