Strategi Peningkatan Retensi Pelanggan dan Pertumbuhan Bisnis pada Transkrip.com

Mario Ekaputta, Nofie Iman Vidya Kemal, S.E., M.Sc., Ph.D.,

2026 | Tesis | S2 MANAJEMEN (MM) JAKARTA

Penelitian ini bertujuan untuk merumuskan strategi peningkatan retensi pelanggan dan pertumbuhan bisnis pada Transkrip.com, sebuah platform SaaS (Software as a Service) transkripsi digital di Indonesia yang menghadapi tantangan rendahnya tingkat konversi dan tingginya angka churn. Meskipun mencatatkan pertumbuhan pengguna terdaftar yang signifikan mencapai 286.403 pengguna, perusahaan mengalami kesenjangan kinerja dengan tingkat aktivasi pembeli pertama yang rendah (5,86%) dan krisis retensi di mana 60,26% pelanggan merupakan pembeli satu kali (one-time buyers).

Metodologi penelitian menggunakan pendekatan kuantitatif deskriptif melalui analisis data transaksional periode Juli 2024 hingga Juni 2025. Analisis dilakukan menggunakan kerangka kerja AARRR (Acquisition, Activation, Retention, Referral, Revenue), analisis kohort bulanan, dan segmentasi RFM (Recency, Frequency, Monetary) untuk membedah anatomi perilaku pelanggan.

Hasil penelitian menunjukkan adanya "Jurang Retensi Bulan Pertama" yang kritis, di mana perusahaan kehilangan lebih dari 80% pelanggan baru tepat setelah transaksi pertama. Analisis kohort mengungkap adanya volatilitas retensi yang dipengaruhi faktor musiman siklus akademik. Selain itu, ditemukan inefisiensi pada strategi penetapan harga, di mana 93,3% pengguna segmen power users tetap membeli paket eceran terkecil karena ketiadaan insentif nilai pada paket bundling. Fenomena fragmentasi pembelian juga teridentifikasi melalui median inter-purchase time selama 4 hari, yang meningkatkan biaya transaksi operasional.

Berdasarkan temuan tersebut, penelitian ini merekomendasikan transformasi strategi dari model transaksional murni menjadi model hibrida (kredit dan berlangganan). Implikasi manajerial mencakup tiga pilar utama: (1) restrukturisasi harga melalui penerapan decoy pricing (Huber, Payne, & Puto, 1982) dan eliminasi SKU non-produktif, (2) peluncuran model berlangganan "Transkrip Pro" untuk membangun hambatan keluar (switching barriers), dan (3) kampanye retensi berbasis siklus hidup (lifecycle CRM) dengan intervensi presisi pada hari ke-4 setelah transaksi terakhir.

Kata Kunci: Retensi Pelanggan, Analisis Kohort, Segmentasi RFM, SaaS, Strategi Bisnis.

This research aims to formulate strategies to enhance customer retention and drive business growth for Transkrip.com, an Indonesian digital transcription SaaS platform facing challenges of low conversion rates and high churn. Despite achieving significant growth in registered users, reaching 286,403, the company faces a performance paradox with low first-time buyer activation (5.86%) and a retention crisis where 60% of customers are one-time buyers.

The research methodology employs a descriptive quantitative approach by analyzing transactional data from July 2024 to June 2025. The analysis utilizes the AARRR (Acquisition, Activation, Retention, Referral, Revenue) framework, monthly cohort analysis, and RFM (Recency, Frequency, Monetary) segmentation to dissect customer behavior anatomy.

The findings reveal a critical "Month-1 Retention Drop-off," where the company loses over 80% of new customers immediately after their first transaction. Cohort analysis indicates retention volatility influenced by academic seasonal cycles. Furthermore, the study identifies inefficiencies in pricing strategies, as 93.3% of power users continue to purchase the smallest retail packages due to a lack of value incentives in existing bundles. Purchase fragmentation was also identified, with a median inter-purchase time of 4 days, which increases operational transaction costs.

Based on these findings, the study recommends a strategic transformation from a purely transactional model to a hybrid model (credit-based and subscription). Managerial implications include three main pillars: (1) pricing restructuring through decoy pricing and the elimination of non-productive SKUs, (2) the launch of the "Transkrip Pro" subscription model to build switching barriers, and (3) lifecycle-based retention campaigns (CRM) with precision interventions on the 4th day following the last transaction.

Keywords: Customer Retention, Cohort Analysis, RFM Segmentation, SaaS, Business Strategy.

Kata Kunci : Retensi Pelanggan, Analisis Kohort, Segmentasi RFM, SaaS, Strategi Bisnis.