Per erfo formance rmance up update: date: H1-FY FY20 2020 20
October 22, 2019
Per erfo formance rmance up update: date: H1-FY FY20 2020 20 - - PowerPoint PPT Presentation
Per erfo formance rmance up update: date: H1-FY FY20 2020 20 October 22, 2019 Ag Agen enda da Company strategy and performance Opportunity Industry overview Agen Ag enda da Company any st strategy tegy and per
October 22, 2019
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VNB NB Growth
Custom tomer er centricity ricity contin inues es to be be at the core
VNB NB Growth
Protecti ction
Premium um Growt wth Produc uctivi ivity ty Persiste tency ncy
VNB Growt
Aspiration to double the FY2019 VNB in 3 - 4 years
5
` billion ion H1 H1-FY20 FY2019 19 FY20 2019 19 H1 H1-FY2 FY2020 020 Value of New Business (VNB)1 5.90 13.28 7.09 VNB margin 17.5% 17.0% 21.0%
1. For full year, based on actual cost; H1: based on management forecast of full year cost
6 1. Annualized premium equivalent 2. Received premium for retail and group
Premiu mium gr growth
en penetra tratio tion n in under-serv erved ed customer er segm gment nts s
nce e cu current ent distrib tributio ution n
e new distrib ributi ution
Augm gment t capabilit lity in Health th and Protec ection tion
ease se focus on Pension ion and An Annuity
` billion ion FY2 Y2019 019 H1 H1-FY FY2020 2020 APE1 77.99 33.69 YoY growth 0.1% (0.4%) New business premium2 102.52 51.52 YoY growth 12.4% 20.5%
7
Protection ection focus us Continu inue e to g grow both retail l and group up lines es of business iness ` bi billion ion FY20 2019 19 H1 H1-FY20 FY2020 20 Protection APE 7.22 4.97 YoY growth 61.9% 86.8% Protection mix 9.3% 14.8%
8
Persistency sistency Improve
istency cy across ss all cohorts ts Persist sisten ency cy1 FY2 Y2019 019 5M 5M-FY2 Y2020 020 13th month 84.6% 83.6% 49th month 63.8% 63.7%
1. Retail excluding SP computed as per IRDAI circular dated January 23, 2014
9
Productivity Continu inue e to le leverage erage techn hnolo logy gy for process ss re- engineering ineering and to dr drive ve productivity tivity ` bi billion ion H1 H1-FY20 FY2019 19 FY20 2019 19 H1 H1-FY2 FY2020 020 Cost/TWRP1 16.1% 15.0% 16.6% Cost/TWRP (savings LOB) 12.7% 11.5% 11.0%
1. Total cost including commission/(Total premium- 90% of single premium)
10
Custom tomer er centricity ricity continu inues es to be be at the core
VNB NB Growth
Prote tecti ction Prem emium um Growth
Producti ctivit vity Persi sistenc stency
VNB NB Growth
12 1. Protection includes retail and group protection products Total may not add up due to rounding off
Prem emium ium growt wth
epen penet etra ration
served ed customer
segment ments
e current rent distri ribu butio ion
e new distri ribu bution
bili lity y in Health and Protectio
rease se focus s on Pension
APE (` (` billion) n) Mix Segme gments nts H1 H1-FY20 2019 19 FY2019 19 H1 H1-FY20 2020 20 FY2019 19 H1 H1-FY20 2020 20 Savings ngs 31.14 70.77 28.72 90.7% 85.2% ULIP 27.77 62.10 23.22 79.6% 68.9% Par 2.71 6.72 3.61 8.6% 10.7% Annuity 0.24 0.69 0.48 0.9% 1.4% Others 0.42 1.27 1.42 1.6% 4.2% Prote tecti ction
2.66 7.22 4.97 9.3% 14.8% Total APE PE 33.81 77.99 33.69 100.0% 0% 100.0% 0%
Annuity APE doubled in H1-FY2020
13
Prem emium ium growt wth
epen penet etra ration
served ed customer
segment ments
e current rent distri ribu butio ion
e new distri ribu bution
bili lity y in Health and Protectio
rease se focus s on Pension
APE (` (` billion) n) Mix Channel nels H1 H1-FY20 2019 19 FY2019 19 H1 H1-FY20 2020 20 FY2019 19 H1 H1-FY20 2020 20 Bancassurance 19.01 43.53 17.80 55.8% 52.8% Agency 7.46 16.89 6.87 21.7% 20.4% Direct 4.00 9.34 4.35 12.0% 12.9% CA & Brokers 1.92 4.59 2.39 5.9% 7.1% Group 1.42 3.65 2.27 4.7% 6.7% Total APE 33.81 77.99 33.69 100.0% 0% 100.0% 0%
Total may not add up due to rounding off
Retail constitutes more than 90% of new business
15
Protection growth continues to be robust
APE (` (` billion) n)
Protecti
growt wth
nue to grow both retail l and group p lines
ss 4.46 7.22 2.66 4.97 FY FY2018 FY FY2019 H1 H1-F
Y2019 H1 H1-F
Y2020
Month FY20 2019 19 5M 5M-FY2 Y2020 020 13th month 84.6% 83.6% 25th month 75.6% 75.0% 37th month 69.3% 69.1% 49th month 63.8% 63.7% 61st month 56.8% 57.2%
17 As per IRDAI circular dated January 23, 2014
18 As per IRDAI circular dated January 23, 2014
Month FY20 2019 19 5M 5M-FY2 Y2020 020 13th month 86.2% 85.5% 25th month 77.4% 76.8% 37th month 71.0% 71.3% 49th month 65.0% 64.9% 61st month 58.1% 58.6%
H1 H1-FY20 FY2019 FY2019 019 H1 H1-FY20 FY2020
Expense ratio (excl. commission)1 10.5% 9.5% 11.3% Commission ratio2 5.6% 5.6% 5.3% Cost/TWRP3 16.1% 15.0% 16.6% Cost/Average AUM4 2.7% 2.8% 2.5% Cost/TWRP (Savings LOB) 12.7% 11.5% 11.0%
20 1. Expense ratio: All insurance expenses (excl. commission)/(Total premium- 90% of single premium) 2. Commission ratio: Commission/(Total premium- 90% of single premium) 3. Cost/(Total premium- 90% of single premium) 4. Annualized cost/Average assets under management during the period Total may not add up due to rounding off
` billion
6.75 75 15.51 6.59 59 12.72 26.43 14.18 19.47 41.94 94 20.77 77
H1 H1FY FY2019 FY FY2019 H1 H1FY FY2020 Co Commiss issio ion Non Non Com Commis issi sion
` ` billion lion FY2019 19 H1 H1-FY FY202 2020 Growth Premium growth (APE) 77.99 33.69 (0.4%) Protection growth (APE) 7.22 4.97 86.8% Persistency (13th month)2 84.6% 83.6% Persistency (49th month)2 63.8% 63.7% Productivity (Cost/TWRP: Savings)3 11.5% 11.0%
21
Components may not add up to the totals due to rounding off
` billion lion H1 H1-FY FY201 2019 FY2019 19 H1 H1-FY FY202 2020 Value of New Business (VNB)1 5.90 13.28 7.09 VNB margin 17.5% 17.0% 21.0%
23 1. As per Indian Embedded value (IEV) method
` billion
VIF grew by 18.6% over September 2018
126. 6.03 03 142.6 .69 149.4 .49 66.4 .45 73.5 .54 77.3 .31 Sep- ep-18 Ma Mar-1
Sep- ep-19 Value alue of I
nforce (V rce (VIF IF) Adj Adjus uste ted n d net et w wort rth (AN h (ANW) W) 226.8 .80 192.4 .48 216.2 .23
` billion FY2015 FY2016 FY2017 FY2018 FY2019 Opening EV EV 117.75 .75 137.21 .212 139.39 .39 161.84 .84 187.88 .88 Unwind 11.70 12.58 12.21 13.72 15.84 Value of New Business (VNB) 2.70 4.12 6.66 12.86 13.28 Operating assumption changes 1.60 1.042 1.00 7.64 4.20 Persistency variance 2.123 2.01 0.99 1.53 2.66 Mortality and morbidity variance 0.79 0.98 0.78 1.97 Expense variance 0.59 0.35 0.27 0.04 Other variance 1.09 0.76 0.00 0.02 EVOP 18.12 .12 22.23 .23 22.95 .95 36.80 .80 38.01 .01 Return on
bedded ed value e (ROEV) EV) 15.4% 5.4% 16.2% 6.2% 16.5% 6.5% 22.7% 2.7% 20.2% .2% Economic assumption change and investment variance 11.11 (5.64) 5.82 1.13 (1.22) Net capital injection (9.77) (14.41) (6.32) (11.88) (8.43) Closi sing g EV 137.21 .21 139.39 .39 161.84 .84 187.88 .88 216.23 .23
24 1. As per Indian Embedded Value (IEV) method 2. Difference of FY2015 closing EV and FY2016 opening EV shown as operating assumption changes in FY2016;Components may not add up to the totals due to rounding off 3. Includes persistency, mortality and morbidity, expense and other variance
` ` billio llion H1 H1-FY20 FY2019 FY2019 019 H1 H1-FY20 FY2020 Gro rowth th Retail new business premium 36.03 81.40 36.04 0.0% Retail renewal premium 86.59 202.25 91.26 5.4% Group premium 9.38 25.65 17.89 90.8% Total tal premi emium um 132.00 309.30 145.20 10.0% Value of New Business (VNB)1 5.90 13.28 7.09 20.2% Profit after Tax 5.83 11.41 5.87 0.7% Solvency ratio 234% 215% 211%
1,461.293 1,604.102 1,655.123
1. For full year: based on actual cost; H1: based on management forecast of full year cost 2. At March 31, 2019 3. At September 30 of respective years Components may not add up to the totals due to rounding off
27
Streng ngthenin thening g the core Be future ture ready Support rt new growth th engines ines
28
Data analytics lytics based real l time offers ers for custome tomers rs Applying data analytics on customers’
financial and social scores available with us, we are able to offer pre approved life cover
Reduced clicks for faster
No financial documents required No medical requirements upto the limit Simple, hassle-free insurance purchase experience Endeavou deavour towards wards custom tomer er delig elight ht by ensur uring ing the follo llowing wing
29
AI: Artificial Intelligence
lp custo tomer mer serv rvice ice executiv ecutive e to unde dersta rstand nd custom tomer er better tter
xt best st action ion predi rediction, tion, churn rn prediction rediction, , payme yment nt bounce
pred redictio iction, n, pitc itch h pro roduc uct to customer tomer etc.
dentify fy cases es which ch shoul
r risk sk verifi rification cation
dentify fraud audul ulent/ ent/risky isky profi rofiles les from rom our ur customer tomer pool
derstand customers’ comp mplaint laint with h resp spect ect to mis-sel selling ling
lp in quic uick k and nd infor formed med dec ecisio ision-ma making king
entify fy pote tenti ntially ly suspici icious
ims based sed on risk k rep eport
30
Appropriate, riate, short rt, , crisp sp message age for positive ive influ fluence ence & ap appropriate riate actions ns We have the capability to send customized messages to frontline personnel to help them in achieving their and
Design sign
ace holde lder r in all l fro rontline ntline facing ing appli pplications cations Notifi tification cation feed ed
able nudge dge engine ine design sign App pproach ach
amless ess notificati tifications ns across ross digit igital al propert roperties es
llover er on the nudge udge message sage to expand xpand with h detail etails
ck actionab ionable
read messages sages to be highli hlighted ghted like ke notifi tification cation
31
for every day of delay beyond 1 working day
1 D Day ay Death ath Claim aim Settl tlem ement ent is avail ailable le for r the e foll llowin ing Policies that have been active for continuous 3 years All mandatory claim documents submitted at a branch before 3 pm on a working day Total claim amount of all the policies is less than or equal to ` 15 million Claim does not require any on ground investigation
*Subject to terms & conditions document available with claims team **% of cases eligible for 1 day settlement; initiative launched in Q2-FY2020
99.6%** of claim settled in 1 day; Average claim settlement time 1.2 days
33 1. Source: UN population division 2. Source: World bank
Large ge and growi wing ng populat latio ion n base1 Rising g afflue uence nce2 Driving ng GDP growt wth h 2 High h share re of working ng popul ulat ation
0.0% 0.1% 0.1% 2.6% 4.4% 6.0% 7.3% 10.9% 9% Russia Russia Jap Japan an Bra Brazil U.S .S.A .A South
Kor Korea In Indon donesi sia In Indi dia Ch China na
GDP per capit ita a CAGR (FY2009-FY FY2019)
578 578 727 727 20 2015 15 20 2030 30 Populat lation ion of age 25-59 years rs (in mn)
51 51 58 58 127 127 146 146 209 209 268 268 327 327 1353 53 1428 28 S Korea rea S Afric rica Japan pan Russ ussia ia Brazil Brazil In Indone nesia sia US USA In India ia China China
2018 2018 Populat ulation ion (mn)
4.8% 7.7% 7.9% 5.2% 5.5% 6.4% 7.4% 8.0% 8.2% 7.2% 7.0% 6.0% 6.9% 1.9% 4.2%
3.1% 2.5% 2.7% 2.8% 2.9% 2.6% 3.2% 3.0% 2.6% 2.7% FY02 FY08 FY10 FY12 FY13 FY14 FY15 FY16 FY17 FY18 FY19 FY20E FY21E Ind ndia World
nancialis lisatio ation n of savi vings ngs aid ided ed by Direct rect Benefit efit Transfer ansfer, , RERA and d GST
34 1. Source: RBI and CSO 2. Source: RBI 3. Total life insurance industry premium including renewal; Source: IRDAI
Househol hold savings gs1 Di Distribu butio ion n of financial ncial savings gs (exclu ludi ding ng currency rency)2
2
FY2002 02 FY2008 08 FY2010 10 FY2012 12 FY2014 14 FY2018 18 FY2019 19 Life insurance premium3 as % of GDP 2.1% 4.0% 4.1% 3.3% 2.8% 2.7% 2.7%
(3.91)
2.86 7.72 9.90 9.33 12.57 14.96 14.38 18.70 2.98 5.38 8.56 14.23 15.59 13.64 16.53 18.09 54% 54% 69% 69% 60% 60% 45% 45% 52% 52% 61% 61% 55% 55% 64% 64% 44% 44% 52% 52% 48% 48% 31% 31% 36% 36% 45% 45% 37% 37% 38% 38% 0% 0% 10% 20% 30% 40% 50% 60% 70%
10 10 30 30 50 50 70 70 90 90 FY2002 FY2008 FY2010 FY2012 FY2015 FY2016 FY2017 FY2018
Phy Physi sical s al savin avings Gr Gros
s finan nanci cial s al savin vings gs Hous
hold bo d borrowings wings Gr Gros
s Finan nanci cial savin vings gs as a % as a % o
hold S Savin vings gs Net Net Fi Financial nancial sav savin ings as a s as a % of % of H House
hold Sav aving ngs
16.0% 25.1% 29.0% 23.8% 26.7% 20.5% 20.3% 23.3% FY2002 FY2008 FY2010 FY2012 FY2015 FY2016 FY2017 FY2018
Pro Provide dent / nt / Pen Pensi sion F
und / d / Cl Claim aims s on G
vt Shar hares s / D / Debe bent ntur ures s / M / MFS Life In Insu suran ance ce F Fun und Depos posits
` ` tn
tn
8.56 6.58 5.30 1.09 0.79 0.77 0.52 0.40
Protectio ction n gap 3,4
92 92 56 85 33 73 78 73 56
35 1. FY 2019 data for India; As of FY2015 for US, Germany and others as of FY2017 2. Source: McKinsey estimates. 3. Protection gap (%): Ratio of protection lacking/protection needed 4. Source: Swiss Re, Economic Research and Consulting 2015
m assure ured as % % of GDP low
mpar ared ed to othe her r coun untri tries es
tion gap p for
dia US $ 8.56 trill illion
273% 273% 270% 270% 252% 252% 144% 144% 142% 142% 113% 113% 106% 106% 78% 78%
Sum Assured ed as a % of GDP1,2
ail cred edit it has been een gro rowing wing at a heal althy thy pace ce
edit t life fe is vol
untary
36 Source: RBI Components may not add up to the totals due to rounding off
` billio ion
4,56 567 5,38 386 6,28 285 7,46 468 8,60 601 9,74 746 11,60 601 4,40 409 4,71 711 5,37 378 6,45 454 7,59 599 9,33 339 10,60 606 8,97 976 10,09 097 11,66 663 13,92 922 16,20 200 19,08 085 22,20 207 FY2013 FY2014 FY2015 FY2016 FY2017 FY2018 FY2019
Ho Home Lo Loans Oth Others ers Retail Credit
tion premi emium um ~ ` 125 bill illion n for
fe insur urance ance indus ndustr try y in FY2019 19 Gro ross direct irect premium remium (` bill illion) ion) FY FY2009 009 FY2019 019 CAGR GR Heal alth th 66.23 346.95 18.0% Moto tor 138.21 644.55 16.6%
87.56 264.73 11.7%
50.65 379.82 22.3%
37 Source: General Insurance Council and company estimate
39 1. Retail weighted received premium (RWRP) 2. Individual and Group in-force sum assured Source: IRDAI, CSO, Life Insurance Council, *Company estimate
Total tal premi emium um (` bn) n) Penetra netration tion (as as a % to GDP) P) New busine siness s premium remium1 (` bn) n)
FY2019 5,089 FY2002 116 116 501 501
21.5% 5% 23.2%
Assets ets under der mana nageme gement nt (` bn) n)
36,657 2,304
24.0%
FY2015 550 550 2,654 12,899
In In-fo force ce sum assured ured2 (` bn) n)
11,812* 2* 37,505 147,501 01
15.5%
2.1% 4.1% 2.7%
In In-fo force ce sum assured ured (as s % t to GDP) P)
50.1% 57.9% 77.6% FY2010 408 408 3,281 2.6% 23,361 78,091 62.7% 692 692
4.3% 12.6% 15.8% 14.1% 11.6% 11.9% 17.2%
Given a well developed banking sector, bancassurance continues to be the largest channel for private players
40 1. Individual new business premium basis Source: Life Insurance Council
Industry dustry Priv ivate te pla layers yers
69% 69% 66% 66% 62% 62% 23% 23% 25% 25% 27% 27% 8% 8% 9% 9% 11% 11% FY FY2017 FY FY2018 FY FY2019 30% 30% 28% 28% 25% 25% 54% 54% 54% 54% 54% 54% 16% 16% 18% 18% 21% 21% FY FY2017 FY FY2018 FY FY2019 Age Agency ncy Banca cassur ssurance ce Oth ther ers
41 1. New business weighted premium basis; Source: IRDAI, Life Insurance Council
Industry dustry Priv ivate te pla layers yers
75% 75% 73% 73% 74% 74% 25% 25% 27% 27% 26% 26% FY FY2017 FY FY2018 FY FY2019 Non Non Li Linked nked Li Linke nked 49% 49% 46% 46% 49% 49% 51% 51% 54% 54% 51% 51% FY2 FY201 017 FY2 FY201 018 FY FY2019
Averag erage e reta tail il APE per er pol
icy (`) (`) FY2017 017 FY2018 018 FY2019 019 ULIP 169,701 180,746 159,329 Par 56,325 62,379 60,308 Non Par 39,153 54,187 76,468 Protection 9,815 9,123 12,048 Total tal 92,735 90,620 83,309
43
44
12 12 30 30 Savin ings gs Pr Prot
ecti tion
Average erage pol
icy term rm (yea ears) rs)
43 43 36 36 Savin ings gs Pr Prot
ection
Average erage custo tome mer r age e (yea ears) rs)
Channe nel l category gory Product duct category
FY2017 FY2018 FY2019
Bancassurance ULIP Par Non par Protection Total 92.1% 5.3% 0.4% 2.2% 100.0% 0.0% 89.8% 7.3% 0.1% 2.7% 100.0% 0.0% 93.4% 2.1% 0.6% 3.9% 100.0% 0.0% Agency ULIP Par Non par Protection Total 79.5% 14.2% 2.0% 4.3% 100.0% 0.0% 81.8% 13.5% 0.4% 4.3% 100.0% 0.0% 75.3% 18.1% 0.5% 6.1% 100.0% 0.0% Direct ULIP Par Non par Protection Total 85.3% 5.0% 3.1% 6.5% 100.0% 0.0% 88.0% 4.3% 2.4% 5.3% 100.0% 0.0% 79.3% 5.3% 6.4% 9.1% 100.0% 0.0% Corporate agents and brokers ULIP Par Non par Protection Total 46.5% 44.1% 0.4% 9.0% 100.0% 0.0% 36.8% 49.9% 0.5% 12.8% 100.0% 0.0% 28.2% 49.5% 0.6% 21.8% 100.0% 0.0%
45
Components may not add up to the totals due to rounding off
Product duct category
Channe nel l category gory FY2017 FY2018 FY2019
ULIP Bancassurance Agency Direct Corporate agents and brokers Total 62.4% 22.0% 12.2% 3.4% 100.0% 0.0% 57.4% 25.4% 14.5% 2.7% 100.0% 0.0% 65.5% 20.5% 12.0% 2.1% 100.0% 0.0% Par Bancassurance Agency Direct Corporate agents and brokers Total 31.3% 34.3% 6.3% 28.1% 100.0% 0.0% 35.4% 31.5% 5.3% 27.7% 100.0% 0.0% 13.8% 45.4% 7.4% 33.3% 100.0% 0.0% Non par Bancassurance Agency Direct Corporate agents and brokers Total 22.8% 49.0% 25.6% 2.6% 100.0% 0.0% 15.9% 24.5% 52.8% 6.8% 100.0% 0.0% 27.4% 8.0% 62.0% 2.6% 100.0% 0.0% Protection Bancassurance Agency Direct Corporate agents and brokers Total 35.2% 27.9% 21.6% 15.3% 100.0% 0.0% 35.2% 27.6% 17.9% 19.3% 100.0% 0.0% 36.9% 22.8% 18.7% 21.7% 100.0% 0.0%
46
Components may not add up to the totals due to rounding off
47 1. 11M-FY2019 persistency As per IRDA circular dated January 23,2014; excluding group and single premium policies
Persist stency ncy acros
s product duct categories gories Persist stency ncy acros
s chann nnel l categori gories
86.0% 89.4% 84.8% 79.4% 64.3% 62.7% 74.1% 49.8% UL ULIP Pa Par Non- n- Par ar Pro Protection ion 13 13th mo month 49 49th mo month 84.8% 88.6% 85.6% 88.5% 62.7% 64.9% 66.5% 67.9% Ba Banc ncas assura suranc nce Agenc ency Direct Direct Corp rporate ag rate agents and b ents and bro rokers ers 13th th mo month th 49th th mo month th
49
Streng ngthenin thening g the core Be future ture ready Support rt new growth th engines ines
50
End to end digi gital taliza zati tion
urneys ys Leverage rage ecosy
stems s and tech ch advance ncements ents
Build ld digit ital al founda ndatio tion Optimize processes and systems Digit itiz ize onboard rding ing and service Build seamless presentation layer
1 2
Leverag age ecosyste tem Collaborate with internal stakeholders And partners for enhancing experience and productivity Market leadership hip IT as an enabler for Business innovation
3 4
NLP interventi tions
in the journe ney
nce experie ienc nce and produc uctiv ivity ty
rate internal nal, , Partne ner r systems and external nal ecosystems s
de friction ionless ss journe ney
cess re- engineeri ring ng
nology
archi hitect ectur ure
ce archi hitect ectur ure
cess s automati ation
d seamless presentat tatio ion n layer
ration ion archi hitect ectur ure
AI : Artificial Intelligence| ML : Machine Learning NLP : Natural Language Processing
2011 2011-2013 2013 2013 2013-2015 2015 2015 2015-2018 2018 2018 2018-2019 2019
Need eed Anal alysis ysis Lead ad Manage anagemen ment t System stem Cognit
ive BOTs Nudge udge Engine ines Lear arner ners Box Custom tomer r Prof rofile iler
Product duct recommendat ndation ion based on customer’s life stage, goal, , risk appetit ite Enhanc anced d with voice capabili ability y and geo taggin ing Know custom
r better through ugh social al platform
Prompt pt for appropr ropriat iate action
24x7 query resolut ution ion using g chat t bots On On-the he-go go e-learn rning ng modules s and video based d sales pitches hes
51
Flexi exible le
arding ing Paperl aperless ess
arding ing Tele le underw derwrit riting ng Rob
tic enabled abled issuance uance AI assisted isted unde derwri rwriting ting Instant tant doc
ument nt veri rification fication (OCR OCR)
Platform
stic ic and availabl lable for all chann nnels End to end digital al and seamless onboardin arding Real time identificati ication
and verificat catio ion n of docum ument nts Robotic ic proce cessin ing g for faster issuance nce Improves s efficie iency ncy and reduce ces issuanc nce TAT Empowers rs underw rwri riters rs with compre rehe hens nsiv ive insights hts
OCR : Optical Character Reader AI : Artificial Intelligence
52
Anyti ytime. me.. ..Anywher Anywhere Premium remium pay aymen ment WhatsApp atsApp Serv ervice ice bot
s (LiGo iGo) Auto toma mated ted Claim aims Pro rocessing cessing Intui uitiv tive IVR
76% trans nsact actions
serviced ed, , omni chan anne nel l experie ience nce Over 60% renewal al premium um through ugh electroni
c modes 50% naviga gation ion time saved 92% good d unders rstanding anding with 75% service ce coverag age First st life insurer r to g get busine ness verified d acco coun unt AI based pre-claim laim assessment nt & c claim im proce cessing ng
IVR : Interactive Voice Response
53
Rank k high gh on
line e sear arches ches Segmen gmente ted targetin rgeting True uecall caller integratio tegration Selfi lfie e quote uote Co Co-bro browsin sing g Hyp yper er person ersonal alisati sation
Mach chin ine learnin ing g used to rank us higher r when custom
rs search ch Reachi hing g the c custom
r by mappin ing g their interests ts and affini niti ties Personali nalized d messaging ng to engage custome mers rs througho ughout ut journe ney AI back cked d quote based d on facial ial recogni gniti tion
Facil ilitat tate auto form fill Instant nt screen n share re availabl lable for assistanc ance in form fill
54
Pro rocess cess simplif mplificati ication Flexi exible le integr egrati ation Custom tomer r serv rvice ice Easy sy UI Web eb portal
Superior ior custom
r experie ience nce Modul ular ar integrat ration ion as per the choice ice of partne ners rs Self service ce module for Group up busine ness Pre-cod coded d pages for quick cker r integrati ation
Enabl blin ing g custom
r service e on partne ner r portals als
UI : User Interface
55
Actiona ionable le insights sights Data ta mod
elling ling Data ta lake ke solution lution Goo
gle e Big Query uery, , Had adoop, , Pytho thon Smart art solutions lutions
Acce celer erat ate sales, enhance nce custom
r experie ience nce & personali nalizati zation
Customer r interac action ion based segmentati tion,
propens nsity ty, nudge ges Pre appro roved d life cover; provide de best offer to custom
Using g best techno nology logy availabl lable to process ss the data Use of AI & M ML to analys yse struct ctur ured d & unstruct uctur ured d data
AI : Artificial Intelligence ML : Machine Learning
56
58
1: EVOP is the embedded value operating profit net of tax 2: ROEV is the return on embedded value net of tax EV results prepared as per APS 10 and reviewed by Milliman Advisors LLP Components may not add up to the total due to rounding off
` billion
VIF 117.6 .64 ANW 70.2 .24 15.8 .84 4.20 13.2 .28 2.66 1.97 0.04 0.02 (1.22 22) (8.43 43)
IEV IEV (M (Mar r 31, 1, 201 2018) 8) Unw Unwind ind Op Operating ating Ass ssump mptio tion Cha Chang nges VNB Persis Persistency tency vari varianc ance Morta rtality lity and nd mo morb rbid idity ity vari varianc ance Expense nse vari varianc ance Othe Other r varianc ariance Econo nomic mic Ass ssump mptio tion Cha Chang nge and nd In Inve vestm tment nt Varianc ariance Net t Capit Capital al In Inje jectio tion IEV IEV (M (Mar r 31, 1, 201 2019) 9)
VIF 142.6 .69 ANW 73.54 187.8 .88 216.2 .23 EVOP1 = 3 38.01 ROEV2
2 = 2
20.2%
` ` billio llion FY2017 017 FY2018 018 FY2019 019 Value of In force (VIF) 94.28 117.64 142.69 Adjusted Net worth 67.56 70.24 73.54 Embedd bedded value lue1 161.84 187.88 216.23 Return on Embedded Value (ROEV) 16.5% 22.7% 20.2% EV growth-pre dividend 20.6% 23.4% 19.6% EV growth-post dividend 16.1% 16.1% 15.1% VNB as % of opening EV 4.8% 7.9% 7.1% Operating assumption changes and variance as % of opening EV 2.9% 6.3% 4.7%
59 1. As per Indian Embedded Value (IEV) method Components may not add up to the totals due to rounding off
methodology and principles as set out in Actuarial Practice Standard 10 (APS10) issued by the Institute of Actuaries of India (IAI)
business (VIF)
60
meet supervisory requirements.
covered business
61
force covered business
market consistent economic assumptions
with holding the Required capital
return
62
financial options and guarantees
underlying embedded value
the TVFOG or the PVFP
mass lapsation risk
the operational risk
63
statutory bases to those adopted in the closing EV
period
64
economic assumptions from opening EV to closing EV
‘real world’ assumed return
65
the Clearing Corporation of India Limited
for productivity gains or cost efficiencies
distributors
66
respect of annuities
exempt
67
68
Scenario ario % c change nge in VNB % c change nge in EV Increase in 100 bps in the reference rates (4.3) (2.0) Decrease in 100 bps in the reference rates 4.4 2.0 10% increase in the discontinuance rates (8.5) (1.3) 10% decrease in the discontinuance rates 8.9 1.4 10% increase in mortality/morbidity rates (9.4) (1.4) 10% decrease in mortality/morbidity rates 9.4 1.4 10% increase in acquisition expenses (13.0) Nil 10% decrease in acquisition expenses 13.0 Nil 10% increase in maintenance expenses (3.6) (0.9) 10% decrease in maintenance expenses 3.6 0.9 Tax rates increased to 25% (7.5) (4.0)
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Teno nor (yea ears) s) Refer erences ences Rates es March rch 31, 2018 March rch 31, 2019 Sept eptemb ember er 30, 2019 1 6.57% 6.66% 5.77% 5 8.21% 7.83% 7.35% 10 10 8.31% 8.35% 8.00% 15 15 8.11% 8.35% 7.95% 20 20 7.97% 8.22% 7.78% 25 25 7.91% 8.11% 7.65% 30 30 7.88% 8.05% 7.58%
ualized zed Premium um Equivale alent nt (APE) E) – Annualized Premium Equivalent (APE) is the sum of the annualized first year premiums on regular premium policies, and ten percent of single premiums, from both individual and group customers
Assets ts un under er manag managemen ent (A (AUM) M) - AUM refers to the carrying value of investments managed by the company and includes loans against policies and net current assets pertaining to investments
mbed edded ed Value alue (EV EV) - Embedded Value (EV) represents the present value of shareholders’ interests in the earnings distributable from the assets allocated to the business after sufficient allowance for the aggregate risks in the business
mbed edded ed Valu lue Oper erat atin ing Prof rofit (E (EVOP) P) - Embedded Value Operating Profit (EVOP) is a measure of the increase in the EV during any given period due to matters that can be influenced by management
tail Wei eight hted ed Rec ecei eived ed Pre remiu ium (RWRP) RWRP) - Premiums actually received by the insurers under individual products and weighted at the rate of ten percent for single premiums
ighted ed re recei eived ed pr premi mium um (T (TWRP) WRP) - Measure of premiums received on both retail and group products and is the sum of first year and renewal premiums on regular premium policies and ten percent of single premiums received during any given period
ersist isten ency Ra Rati tio - Persistency ratio is the percentage of policies that have not lapsed and is expressed as 13th month, 49th month persistency etc. depicting the persistency level at 13th month (2nd year) and 49th month (5th year) respectively, after issuance of contract
Except for the historical information contained herein, statements in this release which contain words or phrases such as 'will', 'would', ‘indicating’, ‘expected to’ etc., and similar expressions or variations of such expressions may constitute 'forward-looking statements'. These forward-looking statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially from those suggested by the forward- looking statements. These risks and uncertainties include, but are not limited to our ability to successfully implement our strategy, our growth and expansion in business, the impact of any acquisitions, technological implementation and changes, the actual growth in demand for insurance products and services, investment income, cash flow projections, our exposure to market risks, policies and actions of regulatory authorities; impact of competition; experience with regard to mortality and morbidity trends, lapse rates and policy renewal rates; the impact of changes in capital, solvency or accounting standards, tax and other legislations and regulations in the jurisdictions as well as other risks detailed in the reports filed by ICICI Bank Limited, our holding company, with the United States Securities and Exchange Commission. ICICI Prudential Life Insurance undertakes no obligation to update forward-looking statements to reflect events or circumstances after the date thereof.
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