Loading...

04 Sep 2026 09:20

Advertising & Marketing

Tinder launches Top Picks in India

Tinder launches Top Picks in India

Tinder launches Top Picks in India

Tinder launches Top Picks in IndiaTinder is excited to announce that Top Picks, a premium feature that surfaces a daily, tailored list of potential matches to Tinder Gold users, is rolling out on iOS and Android platforms in India and globally. Ahead of the rollout of Top Picks, Tinder reached number 1 grossing app status on Android in India.

Top Picks are based on criteria that can help predict a potential match using details like a user’s job, education, hobbies, and other details noted within their profile. The feature was first test launched in June 2018.

Paid features (like Top Picks) have helped increase Tinder’s subscriber growth and in August 7, 2018, Match Group reported that Tinder added 299,000 paid members in the second quarter, totaling 1.7 million in the past year and more than 3 million since the app started offering its subscription services.

“We’re excited to finally share Top Picks with our users around the world given its early success,” said Brian Norgard, Chief Product Officer at Tinder. “Data suggests users in test markets have loved the feature, and we’re happy to make one Top Pick available to all users each day with this global rollout. The feature refreshes every day, highlighting the diversity, talents and passions of our users in a simple, fun and useful manner.”

Taru Kapoor, GM of India at Tinder and Match group, added, “It has been our constant endeavour to provide more value to users; and hence we’re excited to make Top Picks available in India. The feature brings to life aspects of our users and provides a fun, new way of making meaningful connections”

(Visited 8 times, 1 visits today)
kincir88hebitopperi hokiperihokiduta 76https://abc1131aa.com/cakar76https://www.abc1131.it.com/stc76duta76duta76 loveduta76 careduta76bduta76 sejiwaduta76 lokasiterdekatduta76 africafuelduta76 oscarmykeduta76 naptimepkduta76 daikinduta76 raes-munichduta76 destyduta76 bio-linkduta76 lynkduta76 heylinkduta76 bioduta76 radarkeduabc1131https://abc1131-daftar.mssg.me/https://pttun-palembang.go.id/slot gacor qrishttps://ampawsbetx.store/AWSBETslot thailandslot thailand gacorhttps://wealthdynamics.geniusu.com/sm/4538145382453834538445385453864538745388453894539014354143551435614357143581435914360143611436214363peran rng menjaga keseruan putaran mahjong winsperbandingan spin manual turbo untuk tempo optimallima persiapan penting sebelum bermain mahjong winsmekanisme multiplier gates of olympus hasil putaranpanduan mengelola risiko dragon tiger sexy gamingrtp parlay statistik untuk keputusan lebih objektifsistem rng mahjong wins menghasilkan putaran acakpanduan black scatter fungsi simbol dan bonusmobile gaming mengubah ekosistem mahjong onlinemahjong ways fluktuasi pendek distribusi jangka menengahliterasi statistik komunitas mahjong ways memahami rtpperbedaan scatter hitam reguler mahjong ways 2variasi distribusi mahjong wins 3 rangkaian rondekarakter black scatter dan peluang hadiah besartransformasi platform mahjong online desain permainan digitalkeseruan baru setiap putaran cash bonanzaentropi shannon mengukur ketidakpastian informasi diskretpengulangan angka roulette dalam sesi tertentuteknologi modern mengubah interaksi permainan digitalkesiapan organisasi adopsi mahjong digital tata kelolablack scatter premium mahjong wins tigaobservasi scatter mahjongways berdasarkan data aktualpengaruh visual digital mahjong ways terungkappola spin mahjongways dua probabilitas tumblingrotasi strategi baccarat menuju mahjong winsbaccarat sv388 ubah ritme wild banditodata history sweet bonanza runtuhan simbol scatterkalkulasi ai interaksi starlight princess durasi putaranstatistik perubahan strategi mahjong ways komunitastiming presisi spin mahjong wins hindari false signalkajian akumulasi spin sweet bonanza objektifkolaborasi ai analisis rtp starlight princess presisimodal kecil spin mahjong wins multiplierprobabilitas tumbling mahjong wins pragmatic play meningkattren timing spin gates olympus perspektif aialgoritma ai prediksi scatter mahjong modern historisevolusi sistem mahjong pragmatic eksplorasi mobileperkembangan mahjong ways variasi bonus tempo digitalsinyal visual scatter mahjong ekosistem adaptif modernwild bandito pg soft ai algoritma numerik4543045431454324543845439https://journal.ugm.ac.id/ifnp/article/view/86602/45440https://journal.ugm.ac.id/ifnp/article/view/86602/45441https://journal.ugm.ac.id/ifnp/article/view/86602/45442https://journal.ugm.ac.id/ifnp/article/view/86602/45443https://journal.ugm.ac.id/ifnp/article/view/86602/4544414371143721437314374143751437614377143781437914380 Top