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Retention Marketing and Profit Optimization Moderator: Jim Kjolhede, Satteron Enterprises Panelists: Doug Miller, SatisFacts Richard Hughes, AMLI Greg Lozinak, Waterton

Retention Marketing and Profit Optimization

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Tetention Marketing and Profit Optimization Quantitative experts will frame and hopefully synthesize an understanding of how to properly integrate the costs of turnover with pricing optimization. Industry leaders will share information on variable and fixed turn costs, advertising strategies and when it might make sense to bite the bullet and let a resident go in favor of a projected rental increase. Readers of the AIM LinkedIn discussion group will recognize the discussion that started online and more fully considered in person.- Richard Hughes, Vice President of Revenue Management, AMLI- Doug Miller, President, Satisfacts- Greg Lozinak, Chief Operating Officer, Waterton Residential

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Page 1: Retention Marketing and Profit Optimization

Retention Marketing and Profit Optimization

Moderator:Jim Kjolhede, Satteron Enterprises

Panelists:Doug Miller, SatisFactsRichard Hughes, AMLI

Greg Lozinak, Waterton

Page 2: Retention Marketing and Profit Optimization

Opening Comments

Page 3: Retention Marketing and Profit Optimization

Doug Miller, SatisFacts

Page 4: Retention Marketing and Profit Optimization

•Impact of revenue management on turnover?

•Net gain if renewals/retention a lesser goal vs. leasing?

•Rev management include turnover’s NOI impact? What cost used? Reward (perceived value = opportunity) factored in?

•Improved service, satisfaction impact on increase resistance?

•What drives satisfaction and retention?

•Why is national turnover down? Performance? Recession? What happens as renewal increases ratchet up?

•What have clients experienced during recession? How has satisfaction, perceived value and renewal likelihood changed?

Questions to Address

Page 5: Retention Marketing and Profit Optimization

Impact of Satisfaction onPrice Resistance

•“From the perspective of the firm, the findings imply that increasing customer satisfaction is likely to decrease price elasticity of demand.”

•Author states firms considering investing time and resources to improve customer satisfaction reaps financial benefits - including customers’ increased willingness to tolerate price increases.

•Source: Customer Satisfaction and Price Tolerance. Eugene W. Anderson, National Quality Research Center, School of Business Administration, The University of Michigan. As published in Marketing Letters 7:3 (1996): 265-274 by Kluwer Academic Publishers, http://deepblue.lib.umich.edu/bitstream/2027.42/47216/1/11002_2004_Article_BF00435742.pdf.

Page 6: Retention Marketing and Profit Optimization

Two for One Special: Impact of Boosting Satisfaction and Retention

•$4,166 positive NOI impact for each move-out saved due to improved service delivery•Improved satisfaction reduces resistance to rent increases•Increasing satisfaction lets you avoid NOI hits as well as achieve renewal increases

Page 7: Retention Marketing and Profit Optimization

Shareholder ValueCorrelates Satisfaction

-30%

-20%

-10%

0%

10%

20%

30%

40%

50%

60%

Satisfaction Ranking

Improved

Satisfaction Ranking

Unchanged

Satisfaction Ranking

Declined

52%

21%

-28%

Relationship Between Customer Satisfaction and Sharehold Value (Auto Industry)

Change in Shareholder Value (1994-2004)

Source: "Satisfaction - How Every Great Company Listens to the Voice of the Customer" by Chris Denove and James D Power IV of J.D. Power and Associates. Published by The Penquin Group, 2006.

Page 8: Retention Marketing and Profit Optimization

The Impact of Increased Resident Retention on NOI and Asset Value

Page 9: Retention Marketing and Profit Optimization

Assumptions: AverageAverage rent* $1,009Average vacancy loss days 45Average concessions $634Calculations:Vacancy loss $1,513Concessions* $634Leasing staff time/cost $170Marketing / advertising / rental, referral / locator fees, leasing commissions $849Hard turnover costs (carpet cleaning, painting, repairs, miscellaneous costs) $765Maintenance staff time/cost $165Apartment Clean $71TOTAL $4,166Source: SatisFacts Research (www.SatisFacts.com)

Move-Out Cost: Challenging Market Conditions

* Source: Axiometrics (www.axiometrics.com); average asking rent and concessions as of Dec 2010

The Real Cost of Turnover / The Real Gain from Reducing Turnover

Page 10: Retention Marketing and Profit Optimization

Run the Numbers…They Speak for Themselves

Calculate How Much Each Move Out Costs:http://www.multifamilyinsiders.com/home/apartment-turnover-cost-calculator

Calculate the Impact of Reducing Turnover on NOI and Asset Values:

http://www.satisfacts.com/tic.html

Page 11: Retention Marketing and Profit Optimization

•Leveraging satisfaction and retention drivers delivers huge returns•Client turnover rate 9+ points below NAA IES•Impact on a 5,000 unit portfolio:

•$1.978 million higher NOI ($4,166/move-out)•$32,980,000 higher asset value (6 cap)•Does not include factor for reduced resistance to rent increases

Page 12: Retention Marketing and Profit Optimization

•So, what’s more desirable?•Seeking to bump rents $50 when a resident moves out, or•Boosting satisfaction, saving thousands in move-out costs…plus achieving a rent increase

•Our view is the goal is not to lease apartments…•It’s to have apartments leased at maximum rent levels achievable via superior satisfaction

Page 13: Retention Marketing and Profit Optimization

What Matters Most?

Lease Renewal

Service Request Process

Communication and Culture of

Responsiveness

Page 14: Retention Marketing and Profit Optimization

Retention DriversThe realities of what drives retention relate to the office staff, communication,

and a culture of responsiveness

Problem Areas with the Greatest Impact on Renewal Likelihood

Rank Satisfaction Topic1 Office staff: Promptness of response to calls and e-mails

2 Office staff : Follow-up on completed service requests

3 Office staff: Responsiveness and dependability

4 Office staff: Courteous and professional

5 Apartment: Appearance and condition

Source: SatisFacts Research

Page 15: Retention Marketing and Profit Optimization

Impact of Outstanding In-Unit Maintenance Problems on Overall SatisFaction (n = 50,000)

1.00

1.50

2.00

2.50

3.00

3.50

4.00

4.50

5.00

0% 20% 40% 60% 80% 100%

Residents w/Outstanding Maintenance Problems

Ov

era

ll S

ati

sF

ac

tio

n (

1-5

sc

ale

)

15

Source: ©SatisFacts Research

Fewer Outstanding Maintenance Issues =Higher Satisfaction

Page 16: Retention Marketing and Profit Optimization

Impact of Overall SatisFaction on Likelihood to Renew

1.00

1.50

2.00

2.50

3.00

3.50

4.00

4.50

5.00

0%20%40%60%80%100%"Very Likely" to Renew

Ov

era

ll S

ati

sF

ac

tio

n (

1-5

sc

ale

)

16

Higher Satisfaction = More Likely to Renew

Source: ©SatisFacts Research

Page 17: Retention Marketing and Profit Optimization

Service Request Process PerformanceDrives Satisfaction

2008

2009

2010

0%10%20%30%40%50%60%70%80%90%

100%

Maintenance cleaned up when

doneService request

completed properly the first

time

Maintenance problems still

existOffice follow up

after request completed

90%

76%

29% 34%

92%

80%

26%41%

93%

82%

23%

46%

2008 - 2010 SatisFacts Index: Service Request Process

Percent "Yes" to Yes/No Questions. ©SatisFacts Research (www.SatisFacts..com).

Continual three year

Improvements in all best practice metrics

Page 18: Retention Marketing and Profit Optimization

Clients Prove Best Practice Focus Drives Increased Satisfaction and Reduced Turnover

2008

2009

20103.80

3.90

4.00

4.10

4.20

4.30

4.40

4.50

ApartmentOffice

courteous, professional

Office responsive, dependable

Office prompt

response to calls/emails

Maintenance staff

courteous, professional

Speed service requests handled

Quality of maintenance

work done

Overall average score

3.92

4.21

4.034.00

4.31

3.93

4.04

3.98

4.01

4.30

4.154.13

4.41

4.104.16

4.07

4.06

4.35

4.214.19

4.46

4.184.24

4.12

2008 - 2010 SatisFacts Index: Best Practice Trends

Satisfaction Five Point Rating Scale: Exceptional (score of 4.50+), Superior (4.00-4.49), Average (3.50-3.99), Warning (3.00-3.49), Red Flag (below 3.00). ©SatisFacts Research (www.SatisFacts..com).

Continual three year

Improvements in all best practice metrics

Page 19: Retention Marketing and Profit Optimization

Client Focus on Best Practices Reduced Controllable Factors Impacting Renewals

2009

2010

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

FinancialValue

Buying HomeStaff Related

or Controllable

ApartmentRelocation,

Status Change

35.7%

27.2%

13.9%

53.9%

79.2%

13.2%

40.8%

21.0%

11.0%

46.1%

73.0%

18.8%

2009 - 2010 SatisFacts Index: Response Categories -Why Not "Very Likely" to Renew

Aggregated Percent Selecting Response Option. ©SatisFacts Research (www.SatisFacts..com).

Significant decreases in controllable non-renewal

reasons – notably value

and staff-related – driven by

improvements in best

practices

Page 20: Retention Marketing and Profit Optimization

Clients Prove Turnover is Controllable!

2007

2008

2009

2010

10.0%

20.0%

30.0%

40.0%

50.0%

"Very likely" to renew"Not likely" to renew

43.6%

20.3%

43.6%

16.4%

44.5%

14.7%

48.3%

13.1%

2007 - 2010 SatisFacts Index: Renewal Likelihood

Percent Selecting Response Option. ©SatisFacts Research (www.SatisFacts..com).

Consistent four year positive

renewal likelihood score trends

correlates with continual

improvement in all best practice

metrics and perceived value

Page 21: Retention Marketing and Profit Optimization

Doug Miller, SatisFacts ResearchMain: (866) 655-1490 x100Direct/Cell: (410) 598-1400Email: [email protected]: www.satisfacts.com

Contacting the Panelist

Page 22: Retention Marketing and Profit Optimization

THANK YOU!!!

Page 23: Retention Marketing and Profit Optimization

Richard Hughes, AMLI

Page 24: Retention Marketing and Profit Optimization

2 Questions:

“Is there an economic advantage to renewals?”

“What are the primary drivers of renewal intent?”

Renewal Leases

Page 25: Retention Marketing and Profit Optimization

•Consolidate Renewal and Profile Data•Cohort Analysis•Correlation Analysis•Regression Model•Logit Predictive Model

Proposed Steps

Page 26: Retention Marketing and Profit Optimization

•“Yes or No” questions need to become 1 or 0

•Add additional data about that lease:

– Demographic– Community Information– Transaction History– Social Media (Gasp! a real life use!)

•Fire up your spreadsheet

Consolidate Renewal and Profile Data

Page 27: Retention Marketing and Profit Optimization

•Group supplemental data into ‘Buckets’ (Cohorts)

•Examine the propensity to renew (average of those 1’s and 0’s)•Create charts to impress senior management

Cohort Analysis

Page 28: Retention Marketing and Profit Optimization

Asset ageProperty Age

0

2000

4000

6000

8000

10000

12000

14000

0 - 2 3 - 4 5 - 6 7 - 9 10 - 14 15+

-10.0%

-8.0%

-6.0%

-4.0%

-2.0%

0.0%

2.0%

4.0%

6.0%

Count

Renewal Variance

Page 29: Retention Marketing and Profit Optimization

Lease Term

Lease Term

0

2000

4000

6000

8000

10000

12000

14000

16000

0 - 2 3 - 5 6 - 8 9 - 11 12 - 14 15 - 17 18 - 20 24 +

-60%

-40%

-20%

0%

20%

40%

60%

Count

Renewal Variance

Page 30: Retention Marketing and Profit Optimization

Percentage Rent Increase Rent Increase

0

2000

4000

6000

8000

10000

12000

-15% to -10%

-10% to -5%

-5% to 0%

0% to 5%

5% to 10%

10% to 15%

15% to 20%

20% to 25%

25% +

-30%

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

Count

Renewal Variance

Page 31: Retention Marketing and Profit Optimization

Completed Service Requests

Service Requests

0

1000

2000

3000

4000

5000

6000

0 1 - 2

3 - 4

5 - 6

7 - 9

10 - 14

15 - 19

20 +

-6%

-4%

-2%

0%

2%

4%

6%

8%

10%

12%

14%

Count

Renewal Variance

Page 32: Retention Marketing and Profit Optimization

•Allows us to understand the relationship (association) between variables•Association in not causation

– Install “Data Analysis tool pack” in Excel– Tools > Data Analysis > Correlation

Correlations

Page 33: Retention Marketing and Profit Optimization

Correlations

Page 34: Retention Marketing and Profit Optimization

1. Race 2. Color 3. National Origin4. Religion5. Sex6. Disability7. Familial Status (families with children)8. Age9. Marital Status

Never, Ever Offer Based On:

Page 35: Retention Marketing and Profit Optimization

•Allows you to combine variables into a descriptive model

– Shows how much the whole model describes the data

– Shows the impact and relevance of each variable

•Can be used to create a predictive model

Regression Model

Page 36: Retention Marketing and Profit Optimization

Regression Model

Page 37: Retention Marketing and Profit Optimization

•Branch of economics that addresses discrete choice problems •An extension of the existing regression

– For any customer for any price point will give their probability to sign a renewal based on data previously analyzed

•True micro-marketing, leveraging consumer level data into actionable results.•Better, more robust revenue management

Logit Model

Page 38: Retention Marketing and Profit Optimization

•There are many drivers of satisfaction and retention•Which might make the chart on the right meaninglessThe plural of ‘anecdote’ is not (good) ‘data’

TakeawaysReasons for not renewing

Employment22%

Corporate Lease Expiration

6%

Change in Household

Composition12%

Transfer On-Site7%

House Purchase / Rental19%

Other12%

Downsizing6%

Price9%

Unit Satisfaction4%

Skip / Evict3%

Page 39: Retention Marketing and Profit Optimization

THANK YOU!!!

Page 40: Retention Marketing and Profit Optimization

Greg Lozinak, Waterton Residential

Page 41: Retention Marketing and Profit Optimization

• RevMan – People vs. Machine

• Why Choose RevMan Software• Roll Out Methodology

• Affect On Rental Rates & Occupancy

• RevMan vs. CRM – Impact On Retention

• Lessons learned

AGENDA

Page 42: Retention Marketing and Profit Optimization

REVMAN – PEOPLE VS. MACHINES

• Delivering the right product at the right price to the right person in a way that maximizes revenue under a give set of constraints

• Variables:• Demand• Unit type availability• Net rental price• Lease term• Days vacant• Seasonal trends

• Revenue management software makes this process more efficient

Page 43: Retention Marketing and Profit Optimization

WHY MACHINE OVER PEOPLE

• Establish structure & discipline around pricing process

• Establish consistent process across portfolio

• Transparency

• Eliminate variability of people

• Establish efficiency

Page 44: Retention Marketing and Profit Optimization

ROLLOUT METHODOLOGY

• January 2009 – “Test” new leases

• August 2009 – New lease rollout complete

• October 2009 – Begin rollout of renewal pricing

• March 2010 – Rollout of renewal pricing complete

Page 45: Retention Marketing and Profit Optimization

AFFECT ON RENTAL RATES

Page 46: Retention Marketing and Profit Optimization

REVMAN VERSUS CRM• RevMan doesn’t always equate to low retention rates

• Great customer service doesn’t always equate to high retention rates

• Goal - provide a level of customer service that creates value for resident

• Pre-RevMan retention rates – 50 – 65%

• Post-RevMan retention rates – 42 - 46%• Rolled out renewal pricing as market was recovering

• Better economy – more options• Philosophical change in renewal pricing

• 2009/Early 2010 – ceiling on renewal pricing with no floor• Late 2010/2011 – floor on renewal pricing with no ceiling

Page 47: Retention Marketing and Profit Optimization

LESSONS LEARNED• Using a revenue management tool doesn’t mean you can turn your brain off

• Let the tool do what it’s supposed to do

• Senior executive sponsorship & peer level sponsorship

• Pricing team

• Establish parameters • Who can change rents

Page 48: Retention Marketing and Profit Optimization

Contact Info:Greg Lozinak, Waterton ResidentialDirect: (312) 948-4550Email: [email protected]: www.watertonresidential.com

Contacting the Panelist

Page 49: Retention Marketing and Profit Optimization

THANK YOU!!!

Page 50: Retention Marketing and Profit Optimization

Moderator Questions to the

Panelists

Page 51: Retention Marketing and Profit Optimization

Audience Questions to the

Panelists