A customer data platform (CDP) is software that collects and unifies customer data from multiple sources — website, app, CRM, loyalty programme, purchase history — into a single customer profile, then makes those profiles available for marketing activation including programmatic advertising. For CTV advertising in India, a CDP is the infrastructure layer that allows a brand to move from "we have customer data" to "we are actually targeting those customers on JioHotstar." Without a CDP or equivalent data layer, first-party CTV targeting is limited to whatever the publisher's own registration data can match.
What a CDP does for CTV
In a CTV context, a CDP's role is to:
- Unify identities: Match a customer's email from the CRM with their mobile number from the loyalty app with their device ID from the brand's mobile app. The resulting unified profile has multiple identity keys that can be used to find the same person across different data environments.
- Build targetable segments: Create audience segments based on customer behaviour — purchasers, lapsed users, high-value customers, trial users who didn't convert — that can be exported for CTV targeting.
- Activate to DSPs: Export segment lists (as hashed email, phone, or device IDs) to DSPs and DMP-connected publishers. The DSP then matches those identifiers against its own audience graph to find the same users in the CTV environment.
- Measure and close the loop: Ingest CTV impression and conversion data back into the CDP to create a closed-loop view of which CTV exposures drove downstream customer actions.
CDP to CTV activation paths in India
There are three practical routes from a CDP to CTV inventory in India:
- CDP → DSP → CTV publisher: Export a hashed identifier list (SHA-256 hashed emails or phone numbers) from the CDP to the DSP (DV360 Customer Match, The Trade Desk's First Party Data module). The DSP matches these to its own identity graph and targets matched users across CTV inventory where it has access. Match rates vary: DV360 Customer Match typically achieves 30–50% match against JioHotstar-registered users. Precision is good for matched users but you will miss a significant portion of your customer base that is not matched.
- CDP → Publisher direct data match: Some India publishers (JioHotstar, SonyLIV) will accept first-party audience segments from brand CDPs for direct-sold campaign activation. This requires a Data Processing Agreement (DPA) and commercial arrangement with the publisher's data partnership team. The publisher creates a private audience segment from the match and applies it to the direct campaign. This route has better match rates than DSP-mediated matching because the publisher can match against their full registered user database, but it is only available for direct-sold campaigns, not open auction programmatic.
- CDP → Clean room → programmatic: Data clean room environments (Google Ads Data Hub for DV360, InfoSum, LiveRamp) allow the brand's CDP data and the publisher's data to be matched without either party seeing the other's raw data. The output is targetable audience IDs or aggregate insights. In India, clean room adoption is still early-stage, primarily used by large FMCG and BFSI brands with dedicated data partnerships teams.
CDPs in use among India advertisers
The CDP market in India for large advertisers running CTV is concentrated around a few platforms:
- Segment (Twilio): The most widely deployed CDP among India digital-first brands (e-commerce, fintech, EdTech). Strong integrations with AppsFlyer and mobile measurement partners, making it a natural fit for brands where mobile is the primary data source for CTV activation.
- mParticle: Used by larger consumer apps and gaming companies with high data volume requirements. Better suited to brands with sophisticated real-time personalisation needs beyond CTV activation.
- Salesforce Data Cloud (formerly CDP): Used by large enterprise advertisers — FMCG, auto, BFSI — where Salesforce is the existing CRM. Integration with DV360 and programmatic activation requires additional middleware.
- Adobe Real-Time CDP: Used by enterprise advertisers with Adobe stack deployments. Strong for cross-channel orchestration but integration with India CTV programmatic infrastructure requires more configuration effort than Segment.
- In-house data lakes: The largest India digital advertisers (Reliance, Tata Group, major banks) use proprietary data infrastructure rather than commercial CDPs. These organisations build direct data partnerships with publishers rather than routing through standard CDP-to-DSP activation flows.
Limitations and India-specific challenges
CDP-based CTV targeting in India faces several structural constraints:
- Identity fragmentation: India consumers frequently use multiple phone numbers and email addresses, or use family email accounts shared across household members. A CDP that relies on email matching will systematically undercount the addressable audience. Phone number matching (more common in India than in Western markets) achieves higher match rates but requires explicit consent under DPDPA.
- DPDPA consent requirements: The Digital Personal Data Protection Act 2023 requires explicit, purpose-specific consent for using personal data for advertising targeting. CDP segments exported for CTV targeting must have been collected under consent that explicitly covers this use. This is a legal requirement, not a technical one — but non-compliance creates regulatory risk for brands with large CDP datasets collected before DPDPA came into effect. See DPDPA and CTV advertising in India.
- CTV device identity gap: Most India CDPs have strong mobile and web identity (app device ID, cookie, email) but weak CTV device identity. A household watching JioHotstar on a smart TV is not easily connected to the mobile app user data in the CDP unless the publisher shares a common identifier. This identity gap limits how much of a brand's CDP audience is actually reachable on CTV without publisher-mediated matching.