RCS data includes 5 core datasets:
- RBM traffic & spend (Android only)
- RBM traffic & spend (Android + Apple iOS)
- RBM traffic & spend by mobile operator – Android only (update)
- RBM traffic & spend by mobile operator – Android + Apple iOS (update)
- RBM traffic & spend by Google Guest Cloud (update)
RBM traffic & spend split out by:
Traffic type –
- A2P basic/branded message
- A2P single message
- A2P conversation
- P2A message
- P2A conversation
Category – conversational service (customer care) & conversational commerce
Use case – authentication, marketing, services & utility
Use case split out by sector
Spend split out by traffic type / category / use case
AI insights on RBM data
Markets covered: Our datasets include individual market data for the top 200 markets from around the world, split out by mobile operators that have launched RCS/RBM. Top 20 RBM markets by spend are projected to be Argentina / Brazil / Canada / China / Colombia / France / Germany / Greece / India / Italy / Japan / Mexico / Nigeria / Poland / Russia / Saudi Arabia / South Africa / Spain / United Kingdom / USA.
User breakdown: For each of the 200 markets we cover, our RCS user data is split by total unique mobile users (UMUs) / total mobile subscriptions / total RCS users / total RBM users / RBM users as % of total RCS users / RBM users as % of relevant smartphone OS / RBM users as % of total UMUs / RCS users by opt-in by market vertical.
Traffic split by: A2P (outbound) messages / A2P conversations / P2A (inbound) messages / P2A conversations / customer care + conversational commerce.
For RBM traffic types we apply 4 use cases: Authentication, Marketing, Services, and Utility.
Sectors covered: Automotive / Broadcasters / Charity / Education / Enterprise software / Finance / Gambling / Healthcare / Internet streaming / Leisure & entertainment / Public services / Restaurants & fast-food / Retail & eCommerce / Social media & chat / Telecoms / Transport & logistics / Travel & tourism / Utilities / Other
Spend split by: Our spend data is based on our traffic data (see breakdown above). To achieve spend figures for each market, we apply the relevant RCS per message and conversation rates per market that we receive through our extensive on-going research. Spend also split by value chain: Google / mobile operators / aggregators.
Companies researched: Our RCS data is the most accurate available in the marketplace because of our presence and active participation within the Mobile Ecosystem Forum (MEF) RCS Working Groups. We received data and insight from 130 companies, including 50 mobile operators and *0 aggregators, CSPs, vendors, hub providers, interconnect providers, and firewall providers. Of these 290, approximately two-thirds operate within RCS. Companies from the RCS ecosystem who have contributed to our research include:
AI Cross / Arelion / AT&T / Auronix / Beep / BICS / Bouygues Telecom / BT/EE / Cellusys / Cheetah Mobile / China Mobile International / China Unicom . Cisco / Commify / Comviva / Deutsche Telekom / Dimoco / Direqt / Enabld / Fonix Mobile / GMS / Google / GTC / GTS / Gupshup / Infobip / Interop Technologies / Intertron Mobile / JT Global / Kaleyra / Karix / Lanck Telecom / Mavenir / MEF / MessageMedia / Mira Networks / Mitto / Mobivity / Monty Mobile / Movitext / MTN Group /Myriad Group / NTH Mobile / O2 / Ooredoo / Orange / Out There Media / RD Com / RealNetworks / Route Mobile / Salesforce / Samsung / Sinch / SoftBank Corp. / Soprano / Summit Tech / Sunrise / Swisscom / Synchronoss / Syniverse / Tanla / Tata / Telefonica Argentina / Telefonica Group / Telefonica Movistar / Telenor / Telesign / Telia / Three / TIWS / Twilio / TWW Brasil / Tyntec / Viber / Vodafone / Vonage / WhatsApp / WIT / Zain / Zenvia Mobile.