What percent of customers responded from catalog

Assignment Help Marketing Management
Reference no: EM13746729

Tuscan Lifestyles: Targeting Customers with RFM Analysis

Part I: Preliminary and Decile Analysis

1. What percent of customers responded (i.e. bought anything) from this catalog?

2.5% of the customers bought from this last catalog.

Analyze → Descriptive Statistics → Frequencies

Bought from last catalog

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

no

94180

97.5

97.5

97.5

yes

2371

2.5

2.5

100.0

Total

96551

100.0

100.0

 

2. Of those who bought, what was the average dollars ordered from this catalog? The average dollars ordered from this catalog was $104.24 per buying customer.

Analyze → Reports → Case Summaries

Case Summaries

Dollars ordered from last catalog

Bought from last catalog

N

Mean

no

94180

.00

yes

2371

104.24

Total

96551

2.56

3. Create decile variables for recency, frequency and monetary.

Transform → Rank Cases

4. Create a bar chart showing the response rate to this catalog by recencydecile.

Data → Aggregate

Graph → Legacy Dialogs → Bar

635_image 4.png

5. Create a bar chart showing the response rate to this catalog by frequency decile.

Data → Aggregate
Graph → Legacy Dialogs → Bar

2044_image 5.png

 

6. Create a bar chart showing the response rate to this catalog by monetary decile.

Data → Aggregate

Graph → Legacy Dialogs → Bar

968_image 6.png

7. Using only those customers who placed an order from this catalog, create bar charts showing the average dollars ordered from this catalog by recency, frequency andmonetarydeciles.

Data → Select Cases

Graph → Legacy Dialogs → Bar

1892_image 7.png

8. What do the above bar charts reveal about the likelihood of response and the size of the order across the different recency, frequency, and monetary deciles?

Part II: RFM Classification

9. Generate a report showing the number of customers, the number of buyers, and the response rate for each RFM cell (using the sequential n-tiles approach as recorded in the RFM_SEQ variable).

Analyze → Reports → Case Summaries

Case Summaries

Bought from last catalog

RFM (sequential ntiles)

N

Sum

Mean

111

796

69

.09

112

796

55

.07

113

798

51

.06

114

796

50

.06

115

796

48

.06

121

798

30

.04

122

795

30

.04

123

796

32

.04

124

797

36

.05

125

799

34

.04

131

786

20

.03

132

788

29

.04

133

781

29

.04

134

784

23

.03

135

789

32

.04

141

634

14

.02

142

615

19

.03

143

653

19

.03

144

633

17

.03

145

634

19

.03

151

806

20

.02

152

934

27

.03

153

751

21

.03

154

937

28

.03

155

808

19

.02

211

789

36

.05

212

792

43

.05

213

787

42

.05

214

790

47

.06

215

789

27

.03

221

724

20

.03

222

731

29

.04

223

725

32

.04

224

715

26

.04

225

729

39

.05

231

471

16

.03

232

475

5

.01

233

471

6

.01

234

468

12

.03

235

468

11

.02

241

719

19

.03

242

720

12

.02

243

716

13

.02

244

724

13

.02

245

722

19

.03

251

1152

15

.01

252

1114

27

.02

253

1210

26

.02

254

1159

20

.02

255

1144

15

.01

311

805

28

.03

312

807

27

.03

313

806

29

.04

314

807

27

.03

315

801

17

.02

321

747

14

.02

322

745

19

.03

323

750

20

.03

324

740

13

.02

325

753

16

.02

331

766

15

.02

332

768

15

.02

333

772

14

.02

334

746

15

.02

335

806

17

.02

351

1522

22

.01

352

1564

15

.01

353

1678

30

.02

354

1343

16

.01

355

1564

25

.02

411

885

27

.03

412

886

25

.03

413

885

24

.03

414

883

17

.02

415

882

16

.02

421

412

9

.02

422

413

4

.01

423

412

8

.02

424

425

10

.02

425

407

7

.02

431

826

9

.01

432

836

14

.02

433

794

16

.02

434

857

14

.02

435

833

21

.03

441

1838

29

.02

442

1884

29

.02

443

1490

13

.01

444

1903

20

.01

445

1719

25

.01

511

875

17

.02

512

877

24

.03

513

874

21

.02

514

877

13

.01

515

874

20

.02

521

476

8

.02

522

478

8

.02

523

478

14

.03

524

473

10

.02

525

478

4

.01

531

805

13

.02

532

813

12

.01

533

814

19

.02

534

791

13

.02

535

810

12

.01

541

1672

12

.01

542

1710

24

.01

543

1599

16

.01

544

1738

19

.01

545

1675

20

.01

Total

96551

2371

.02

 

Part III: Profitability Analysis

Now, compare the profitability of two scenarios:
• mailing to all 96,551 customers
• mailing only to those customers in RFM cells (using the sequential n-tiles approach) with a response rate that is equal to or greater than the breakeven response rate

10. Use the following costs to determine:
(a) the gross profit in dollars,
(b) the gross profit as a % of gross sales, and
(c) the return on marketing expenditures (gross profit/cost to mail catalogs) as a result of mailing the catalog to all 96,551 customers:
Cost to produce and mail catalog = $1
COGS and variable costs on orders = 50% (of sales revenues)

11. What is the breakeven response rate?
Breakeven response rate = cost to mail catalog / net profit of the average sale
$1 / ($104.24 * 50%) = 1 / 52.12 = 0.0192

12. Compute the following items. You can do these (1) by hand (not recommended), (2) in Excel (using the results from question 9 above) or (3) you can create an aggregate SPSS dataset. If you want SPSS to do the bulk of the calculations, follow the instructions in Exhibit 3 - and then you can use analyze ... reports... case summaries for the final computations:

• Determine which RFM segments (using the sequential n-tiles approach) have response rates exceeding the breakeven rate.
• Determine the number of customers belonging to these profitable segments.
• Determine the number of buyers belonging to these profitable segments.
• Finally, what would the

(a) the gross profit in dollars,
(b) the gross profit as a % of gross sales, and
(c) the return on marketing expenditures (gross profit/cost to mail catalogs) have been as a result of mailing the catalog only to those customers in the RFM cells with response rates exceeding the breakeven? That is, rather than mailing to all 96,551 customers - what would the profitability of the mailing have been if mailed to the subset of customers in ‘profitable' segments?

 

Mass Mailing

Targeted RFM Mailing

Number of Customers

96511

96511

Number Mailed

96511

53083

% of Customers mailed

100.0%

55.0%

Number of Buyers

2371

1769

Response Rate

2.46%

3.33%

 

 

 

Gross Revenues

 $                          247,160

 $                          184,401

COGS

 $                          123,580

 $                            92,200

Mailing

 $                            96,551

 $                            53,083

Gross Profit (a)

 $                            27,029

 $                            39,117

Gross Profit/Sales (b)

10.9%

21.2%

Return on Marketing Expenditures (c)

28.0%

73.7%

13. Examine the first 20 or so observations in the database.

What do you notice about theRFM1 and RFM2 values?

Reference no: EM13746729

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