#car_buying

[phonemantra-blog]

The list includes both expensive and budget models New cars begin to depreciate as soon as the owner drives them off the dealer's lot. But some makes and models hold their original value better than others. A new study from iSeeCars has revealed which used cars have fallen in price the least over the past five years. The leader is the Porsche 911, which has fallen on average by only 9.3%, or $18,094, since 2018. Second place went to the Porsche 718 Cayman, which lost 17.6%. [caption id="attachment_82388" align="aligncenter" width="780"] iSeeCars[/caption] iSeeCars analyzed the prices of more than a million cars Third place goes to the Toyota Tacoma, which fell in price by 20.4%, followed by the Jeep Wrangler (20.8%), and the top five is rounded out by the Honda Civic (21.5%). The ranking also includes much more affordable models, including the Subaru BRZ, Chevrolet Camaro and Ford Mustang, which occupy 6th, 7th and 11th places, respectively. Toyota is well represented in the rankings, with the RAV4, Tacoma, Tundra, Corolla and C-HR all in the top 20. The list also includes inexpensive Kia Rio, Chevrolet Spark and Honda HR-V. The iSeeCars study analyzed 1.1 million used 2018 model year vehicles sold between November 2022 and October 2023. The report does not include low-volume models, and also excludes heavy-duty pickups, vans and models discontinued for the 2022 model year. On average, the 25 2018 makes and models with the best five-year depreciation lost 38.8% of their value, or $17,221. [caption id="attachment_82389" align="aligncenter" width="480"] iSeeCars[/caption]

[correctsuccess]

How to Navigate Surging New-Car Prices Instances are robust, however there’s no purpose to lose hope. By following these key methods, you'll be able to proactively remove among the roadblocks you'll face alongside the best way, easing the search and buy course of.  Get prequalified. That is good recommendation throughout the perfect of occasions, however as particularly now, says Jon Salzberg, director of Credit score ... #car_buying #car_deals #chip_shortage #correct #correctsuccess #DEBT #Navigate #new_cars #NewCar #prices #success #surging #Used_cars

[carbuyingservices]

[hasnahseif]

[automotiveguider]

How Old Do You Have To Be To Test Drive A Car? Full Guide

[biedexcom]

Mercedes gets big electric van order from Amazon#stockmarkets#air_pollution #air_quality #amazon #automobile_manufacturing #automobiles #big #business #car_buying #carbon_neutrality #climate #climate_change #consumer_product_manufacturing #consumer_products_and_services #eco-friendly_practices #electric #environment #environment_and_nature #environmental_concerns #general_news #industrial_products_and_services #lifestyle #mercedes #order #pollution #transportation_and_shipping #van

[sarangjain-blog]

Churn Analysis

Churn Analysis

 The data has 100,000 observations from a telecom company.

50% are churners and the rest are not.

We need to model churn and understand what factors are good predictors of churn.

Churn is the dependent variable that takes the value 1 if a customer has churned and 0 otherwise.

The goal is to get the highest percentage accuracy in predicting churners.

1.       We need to figure out which factors are the best predictors of churn.

2.       What other variables would help to predict churn better?

3.       How can we use the parameters from to predict churn behavior of a new dataset?

Factors that can possibly the reason for someone to churn:

·       Age

·       Price of the phone set

·       Billing Issues

·       Network Issues

                                          CHURN ANALYSIS CODEBOOK

The data has 100,000 observations & 173 variables from a telecom company 50% are churners and the rest are not Churn is the dependent variable that takes the value 1 if a customer has churned and 0 otherwise                           Alphabetic List of Variables and Attributes

MOU = MINUTES OF USE REV = REVENUE QTY = NUMBER OF CALLS SUBS = SUBSCRIBERS NBR = NUMBER MRC = monthly recurring charges

 # Variable       Type Len Format      Informat Label

173 Customer_ID    Num    8 BEST12.     F12.     Unique tournament specific customer ID 155 HHstatin       Char   1 $F1.        $F1.     Prem Household Status Ind 121 REF_QTY        Num    8 F5.         F5.      Total Number of Referrals 98 actvsubs       Num    4 BEST12.     F12.     Number of Active Subs 110 adjmou         Num    8 BEST12.     F12.     adjusted minutes of usage 111 adjqty         Num    8 BEST12.     F12.     adjusted quantity of calls 109 adjrev         Num    8 BEST12.     F12.     adjusted revenue 150 adults         Char   1 $F1.        $F1.     Number of Adults in HH 145 age1           Char   2 $F2.        $F2.     Age of 1st household member 146 age2           Char   2 $F2.        $F2.     Age of 2nd household member 127 area           Char  30 $F30.       $F30.    Area 102 asl_flag       Char   1 $F1.        $F1.     Account Spending Limits 54 attempt_Mean   Num    8 BEST12.     F12.     Attempted Calls 91 attempt_Range  Num    8 BEST12.     F12.     Attempted Calls 115 avg3mou        Num    4 BEST12.     F12.     Subs Last 3 months avg: MOU 116 avg3qty        Num    4 BEST12.     F12.     Subs Last 3 months avg: QTY 117 avg3rev        Num    4 BEST12.     F12.     Subs Last 3 months avg: REV 118 avg6mou        Num    4 BEST12.     F12.     Subs Last 6 months avg: MOU 119 avg6qty        Num    4 BEST12.     F12.     Subs Last 6 months avg: QTY 120 avg6rev        Num    4 BEST12.     F12.     Subs Last 6 months avg: REV 113 avgmou         Num    8 BEST12.     F12.     average minutes of use 114 avgqty         Num    8 BEST12.     F12.     average number of calls 112 avgrev         Num    8 BEST12.     F12.     average revenue 24 blck_dat_Mean  Num    8 BEST12.     F12.     nbr_blocked_calls_data (Failed Calls) 61 blck_dat_Range Num    8 BEST12.     F12.     nbr_blocked_calls_data (Failed Calls) 23 blck_vce_Mean  Num    8 BEST12.     F12.     nbr_blocked_calls_voice (Failed Calls) 60 blck_vce_Range Num    8 BEST12.     F12.     nbr_blocked_calls_voice (Failed Calls) 56 callfwdv_Mean  Num    8 BEST12.     F12.     Call Forward Calls 93 callfwdv_Range Num    8 BEST12.     F12.     Call Forward Calls 57 callwait_Mean  Num    8 BEST12.     F12.     Call Wait Calls 94 callwait_Range Num    8 BEST12.     F12.     Call Wait Calls 170 car_buy        Char   7 $F7.        $F7.     New or Used car buyer 154 cartype        Char   1 $F1.        $F1.     Dominant Vehicle Lifestyle 35 cc_mou_Mean    Num    8 BEST12.     F12.     nbr_unrnd_MOU_cust_care_calls 72 cc_mou_Range   Num    8 BEST12.     F12.     nbr_unrnd_MOU_cust_care_calls 34 ccrndmou_Mean  Num    8 BEST12.     F12.     Customer Care Rounded MOU 71 ccrndmou_Range Num    8 BEST12.     F12.     Customer Care Rounded MOU 19 change_mou     Num    8 BEST12.     F12.     % change of minutes of use 20 change_rev     Num    8 BEST12.     F12.     % change of revenue 149 children       Char   1 $F1.        $F1.     Children present in HH 95 churn          Num    8 BEST12.     F12.     Dependent Variable: Churn between                                                 31-60 days after obs_date 32 comp_dat_Mean  Num    8 BEST12.     F12.     nbr_calls_completed_data 69 comp_dat_Range Num    8 BEST12.     F12.     nbr_calls_completed_data 31 comp_vce_Mean  Num    8 BEST12.     F12.     nbr_calls_completed_voice 68 comp_vce_Range Num    8 BEST12.     F12.     nbr_calls_completed_voice 55 complete_Mean  Num    8 BEST12.     F12.     Completed Calls 92 complete_Range Num    8 BEST12.     F12.     Completed Calls 101 crclscod       Char   2 $2.         $2.      Credit Class Code 169 creditcd       Char   1 $F1.        $F1.     Credit Card Indicator 99 crtcount       Num    4 BEST12.     F12.     Number of Courtesy Credits 126 csa            Char  10 $10.        $10.     Communications Service Area 33 custcare_Mean  Num    8 BEST12.     F12.     Customer Care Calls 70 custcare_Range Num    8 BEST12.     F12.     Customer Care Calls  4 da_Mean        Num    8 BEST12.     F12.     directory_assisted mean 13 da_Range       Num    8 BEST12.     F12.     directory_assisted range  8 datovr_Mean    Num    8 BEST12.     F12.     data overuse mean 17 datovr_Range   Num    8 BEST12.     F12.     data overuse range 125 div_type       Char   3 $F3.        $3.      Division Type Code 53 drop_blk_Mean  Num    8 BEST12.     F12.     Drop/Block Calls 90 drop_blk_Range Num    8 BEST12.     F12.     Drop/Block Calls 22 drop_dat_Mean  Num    8 BEST12.     F12.     nbr_dropped_calls_data (Failed Calls) 59 drop_dat_Range Num    8 BEST12.     F12.     nbr_dropped_calls_data (Failed Calls) 21 drop_vce_Mean  Num    8 BEST12.     F12.     nbr_dropped_calls_voice (Failed Calls) 58 drop_vce_Range Num    8 BEST12.     F12.     nbr_dropped_calls_voice (Failed Calls) 128 dualband       Char   1 $F1.        $F1.     Dualband 158 dwllsize       Char   1 $F1.        $F1.     Dwelling Size 142 dwlltype       Char   1 $F1.        $F1.     Dwelling Unit Type 160 educ1          Char   1 $F1.        $F1.     Education for 1st Individual 172 eqpdays        Num    8 BEST12.     F12.     Number of days of the current equipment 163 ethnic         Char   1 $F1.        $F1.     Ethnicity Roll-Up Code 159 forgntvl       Char   1 $F1.        $F1.     Foreign Travel Dummy Var 130 hnd_price      Num    8 DOLLAR16.15 F10.     Handset Price 135 hnd_webcap     Char   4 $F4.        $F4.     Handset Web Capable 152 income         Char   1 $F1.        $F1.     Estimated Income 151 infobase       Char   1 $F1.        $F1.     Infobase Match 36 inonemin_Mean  Num    8 BEST12.     F12.     Inbound Calls Less Than One Minute 73 inonemin_Range Num    8 BEST12.     F12.     Inbound Calls Less Than One Minute 43 iwylis_vce_    Num    8 BEST12.     F12.     nbr_inbound_wylis2wylis_voice_call Mean 80 iwylis_vce_    Num    8 BEST12.     F12.     nbr_inbound_wylis2wylis_voice_call Range 164 kid0_2         Char   1 $F1.        $F1.     Kid 0-2 years of age in HH 167 kid11_15       Char   1 $F1.        $F1.     Kid 11-15 years of age in HH 168 kid16_17       Char   1 $F1.        $F1.     Kid 16-17 years of age in HH 165 kid3_5         Char   1 $F1.        $F1.     Kid 3-5 years of age in HH 166 kid6_10        Char   1 $F1.        $F1.     Kid 6-10 years of age in HH 133 last_swap      Num    4 MMDDYY10.   F10.     Date of Last Phone Swap 141 lor            Char   2 $F2.        $F2.     Length of Residence 156 mailflag       Char   1 $F1.        $F1.     DMA Do Not Mail Flag 144 mailordr       Char   1 $F1.        $F1.     Mail Order Buyer 148 mailresp       Char   1 $F1.        $F1.     Mail Responder 143 marital        Char   1 $F1.        $F1.     Marital Status 134 models         Num    4 BEST12.     F12.     # Models Issued 96 months         Num    4 BEST12.     F12.     Months in Service  2 mou_Mean       Num    8 F14.10      F14.2    MINUTE_QTY 11 mou_Range      Num    8 F14.2       F14.2    MINUTE_QTY 39 mou_cdat_Mean  Num    8 BEST12.     F12.     nbr_unrnd_mou_completed_data_calls 76 mou_cdat_Range Num    8 BEST12.     F12.     nbr_unrnd_mou_completed_data_calls 38 mou_cvce_Mean  Num    8 BEST12.     F12.     nbr_unrnd_mou_completed_voice_calls 75 mou_cvce_Range Num    8 BEST12.     F12.     nbr_unrnd_mou_completed_voice_calls 52 mou_opkd_Mean  Num    8 BEST12.     F12.     nbr_unrnd_mou_off_peak_data_calls 89 mou_opkd_Range Num    8 BEST12.     F12.     nbr_unrnd_mou_off_peak_data_calls 51 mou_opkv_Mean  Num    8 BEST12.     F12.     nbr_unrnd_mou_off_peak_voice_calls 88 mou_opkv_Range Num    8 BEST12.     F12.     nbr_unrnd_mou_off_peak_voice_calls 48 mou_pead_Mean  Num    8 BEST12.     F12.     nbr_unrnd_mou_peak_data_calls 85 mou_pead_Range Num    8 BEST12.     F12.     nbr_unrnd_mou_peak_data_calls 47 mou_peav_Mean  Num    8 BEST12.     F12.     nbr_unrnd_mou_peak_voice_calls 84 mou_peav_Range Num    8 BEST12.     F12.     nbr_unrnd_mou_peak_voice_calls 40 mou_rvce_Mean  Num    8 BEST12.     F12.     nbr_unrnd_mou_received_voice_calls 77 mou_rvce_Range Num    8 BEST12.     F12.     nbr_unrnd_mou_received_voice_calls 44 mouiwylisv_    Num    8 BEST12.     F12.     nbr_unrnd_mou_inbnd_wylis2wylis_voice_calls mean   81 mouiwylisv_    Num    8 BEST12.     F12.     nbr_unrnd_mou_inbnd_wylis2wylis_voice_calls range   42 mouowylisv_    Num    8 BEST12.     F12.     nbr_unrnd_mou_outbnd_wylis2wylis_voice_call mean     79 mouowylisv_    Num    8 BEST12.     F12.     nbr_unrnd_mou_outbnd_wylis2wylis_voice_call range   137 mtrcycle       Char   1 $F1.        $F1.     Motorcycle Indicator 100 new_cell       Char   1 $1.         $1.      New Cell Phone User 153 numbcars       Char   1 $F1.        $F1.     Known Number of Vehicles 139 occu1          Char   1 $F1.        $F1.     Occupation for 1st Individual 50 opk_dat_Mean   Num    8 BEST12.     F12.     nbr_off_peak_data_calls 87 opk_dat_Range  Num    8 BEST12.     F12.     nbr_off_peak_data_calls 49 opk_vce_Mean   Num    8 BEST12.     F12.     nbr_off_peak_voice_calls 86 opk_vce_Range  Num    8 BEST12.     F12.     nbr_off_peak_voice_calls  5 ovrmou_Mean    Num    8 BEST12.     F12.     Overage minutes of use, mean 14 ovrmou_Range   Num    8 BEST12.     F12.     Overage minutes of use, range  6 ovrrev_Mean    Num    8 BEST12.     F12.     Overage revenue, mean 15 ovrrev_Range   Num    8 BEST12.     F12.     Overage revenue, range 140 ownrent        Char   1 $F1.        $F1.     Home Owner/Renter Status 41 owylis_vce_    Num    8 BEST12.     F12.     nbr_outbound_wylis2wylis_voice_calls Mean 78 owylis_vce_    Num    8 BEST12.     F12.     nbr_outbound_wylis2wylis_voice_calls Range 162 pcowner        Char   1 $F1.        $F1.     PC Owner Dummy Var 46 peak_dat_Mean  Num    8 BEST12.     F12.     nbr_peak_data_calls 83 peak_dat_Range Num    8 BEST12.     F12.     nbr_peak_data_calls 45 peak_vce_Mean  Num    8 BEST12.     F12.     nbr_peak_voice_calls (inbnd & outbnd) 82 peak_vce_Range Num    8 BEST12.     F12.     nbr_peak_voice_calls (inbnd & outbnd) 132 phones         Num    4 BEST12.     F12.     # Handsets Issued 28 plcd_dat_Mean  Num    8 BEST12.     F12.     nbr_calls_placed_data(attempts) 65 plcd_dat_Range Num    8 BEST12.     F12.     nbr_calls_placed_data(attempts) 27 plcd_vce_Mean  Num    8 BEST12.     F12.     nbr_calls_placed_voice (attempts) 64 plcd_vce_Range Num    8 BEST12.     F12.     nbr_calls_placed_voice (attempts) 131 pre_hnd_price  Num    8 DOLLAR16.15 F10.     Previous Handset Price 124 prizm_social_  Char   2 $F2.        $F2.     Social Group Letter Only one 161 proptype       Char   1 $F1.        $F1.     Property Type Detail 30 recv_sms_Mean  Num    8 BEST12.     F12.     nbr_calls_received_sms 67 recv_sms_Range Num    8 BEST12.     F12.     nbr_calls_received_sms 29 recv_vce_Mean  Num    8 BEST12.     F12.     nbr_calls_received_voice 66 recv_vce_Range Num    8 BEST12.     F12.     nbr_calls_received_voice 129 refurb_new     Char   1 $F1.        $F1.     Handset Refurb or New 171 retdays        Num    8 BEST12.     F12.     Number of days since last rentition call  1 rev_Mean       Num    8 F13.10      F13.2    CHARGE_AMT 10 rev_Range      Num    8 F13.2       F13.2    CHARGE_AMT 103 rmcalls        Num    8 F12.        F12.     Roaming Calls 104 rmmou          Num    8 F14.2       F14.2    RMMOU 105 rmrev          Num    8 F13.2       F13.2    RMREV  9 roam_Mean      Num    8 BEST12.     F12.     roaming, mean 18 roam_Range     Num    8 BEST12.     F12.     roaming, range 138 rv             Char   1 $F1.        $F1.     RV Indicator 157 solflag        Char   1 $F1.        $F1.     Infobase No Phone Sol Flag 37 threeway_Mean  Num    8 BEST12.     F12.     Three Way Calls 74 threeway_Range Num    8 BEST12.     F12.     Three Way Calls 123 tot_acpt       Num    8 BEST12.     F12.     Total Offers Accepted From Retention Team 122 tot_ret        Num    8 BEST12.     F12.     Total Calls into Retention Team 106 totcalls       Num    4 F12.        F12.     TOTCALLS 107 totmou         Num    8 F12.7       F12.     TOTMOU  3 totmrc_Mean    Num    8 BEST12.     F12.     total MRC, mean 12 totmrc_Range   Num    8 BEST12.     F12.     total MRC, range 108 totrev         Num    8 F13.2       F13.2    TOTREV 136 truck          Char   1 $F1.        $F1.     Truck Indicator 26 unan_dat_Mean  Num    8 BEST12.     F12.     nbr_unanswered_calls_data 63 unan_dat_Range Num    8 BEST12.     F12.     nbr_unanswered_calls_data 25 unan_vce_Mean  Num    8 BEST12.     F12.     nbr_unanswered_calls_voice 62 unan_vce_Range Num    8 BEST12.     F12.     nbr_unanswered_calls_voice 97 uniqsubs       Num    4 BEST12.     F12.     Number of Uniq Subs  7 vceovr_Mean    Num    8 BEST12.     F12.     voice overage, mean 16 vceovr_Range   Num    8 BEST12.     F12.     voice overage, range 147 wrkwoman       Char   1 $F1.        $F1.     Working Woman in HH

[jerrycurry-blog]

Best Car Deals Come at the End of the Month

Thinking of buying a new car?

Don't do it on Tuesday.

March 6 is the worst day of the month to purchase new wheels, according to TrueCar.com--a web service that forecasts car prices using dealership data.

This Tuesday you'll get only a 6 percent discount off a car's sticker price, as reported on the site.

The best deals on autos tend to come at the end of the month when dealers need to meet their quotas, according to the site. On February 25, for example, the average discount was 8.34 percent.

After a year-long slump following the recession, auto sales have been picking up. February saw the highest auto sales in the past four years and higher gas prices drove more people to buy compact and midsize cars, the Associated Press reports.

If you're willing to wait it out for a deal, Edmunds. com reports that the end of December is the most cost-effective time to pick up new wheels, with discounts running between 8.5 and 9.5 percent off the manufacturer’s suggested retail price (MSRP).

Besides the best and worst times in the month, there’s also a pattern among the days of the week. Weekend shoppers get better deals. Dealers perceive people who buy cars on Mondays and Tuesdays to be “need-based buyers,” and are therefore less open to haggling, TrueCar senior analyst Kristen Andersson told Moneyland.

Other than days of the month and week, the TrueCar.com notes that “vehicle availability, incentives, holiday shopping and economic conditions” can also determine car-buying discounts.

[phonemantra-blog]

The customer service index has already been integrated into more than 10,000 personal accounts of dealers throughout Russia The Avto.ru team announced the launch of a new service on the platform, which is designed to help car dealers evaluate the quality of customer service. The new tool is called ICS (Customer Service Index).  [caption id="attachment_80924" align="aligncenter" width="780"] customer service[/caption] Avto.ru launched a service for assessing the quality of customer service As the developers note, the service will allow dealers to evaluate the level of customer service based on several parameters:  completeness and professionalism of consultation on technical characteristics and current condition of cars;  comfort of communication with the dealership manager;  service during the visit;  willingness to recommend a dealer;  organization and speed of work of employees; valuation of the purchased car.   This will help improve dealer customer service, making the market more welcoming for buyers. ICS has already been integrated into more than 10,000 personal accounts of dealers throughout Russia. Among them are Avtopol, Alarm-Motors, Automir, ASC, Maximum, Rolf, Saturn, TTS and others.

[correctsuccess]

Auto Finance Basics: Buy or Lease? | Auto Finance 101 | Ford Be taught the variations between shopping for and leasing a automobile to assist resolve which is finest for you and your life-style. Be taught extra about Ford Finance right here: https://ford.to/2JwGQ3d Uncover extra Auto Finance movies right here: http://ford.to/2zZaVEc SUBSCRIBE: http://ford.to/SubscribeFordMotorCompany #Ford About Auto Finance 101: Uncover all it's essential to learn ... #auto #auto_financing #auto_leasing #automobile #basics #business_loans #buy #buying_a_car #car #car_buying #car_lease #correct_news #correctsuccess #credit #credit_cards #finance #financial_health #financial_management #financial_success #ford #ford_credit #ford_motor_company #how_to_buy_a_car #how_to_get_out_of_debit #how_to_repair_credit #insurance #investment #lease #lease_end #leasing #leasing_a_car #leasing_information #loans #money #taxes

[leoparkar990]

[automotiveguider]

How To Move A Car Without Tires? Complete Process

[phonemantra-blog]

For $3200 An Australian student has just won a prestigious award for his conversion kit, which can turn internal combustion engine cars into hybrids at a meager cost. He claims that its design allows for bolt-on installations to be completed in one day. The issue price is only $3,200. [caption id="attachment_73709" align="aligncenter" width="780"] cars[/caption] The auto industry is moving toward electrification, but the challenge of reducing carbon emissions is here to stay. ICE cars, which existed before and even during the transition to green cars, are not going away anytime soon. The startup Rapid Electric Vehicle Retrofits will offer owners the opportunity to electrify their cars for a small fee. According to Alexander Burton of the Royal Melbourne Institute of Technology, the key to its success is its special pancake-shaped axial flux motor. It bolts to the wheel hub and has a rotating plate between the brake rotor and the wheel. Burton says each engine can produce 67 hp. A student has invented a cheap way to convert cars with internal combustion engines into hybrids He's testing a prototype in his Toyota Corolla - the motors are mounted to the rear wheels, and the "standard battery" with a capacity of 15 kWh is located where the spare tire would normally be. At the same time, the power reserve on all-electric traction is about 100 km. https://youtu.be/uKVVpbvDMN0 During the tests, the system was not connected to the internal combustion engine at all, but it could operate simultaneously to reduce the amount of fuel burned by the engine. In full EV mode, the system will keep the 12-volt battery charged and power the lights, air conditioning, etc. However, Burton needs to refine some parts of the design.