Rakuten Group launched RMP – TV Ads with Nippon Television Network Corporation on July 13, 2026.
The terrestrial television advertising solution combines Rakuten consumer-behavior analysis data with television viewing data, bringing media choice, purchasing, and measurement into a more connected workflow.
The notable change is not simply that television inventory can be bought in a way that resembles online advertising.
Its strategic significance lies in using purchasing behavior to choose broadcast inventory and then examining what changed after exposure.
What RMP – TV Ads does
According to Rakuten’s official announcement, RMP – TV Ads uses Video Research technology to connect Rakuten’s consumer-behavior analysis data with television viewing data.
Advertisers can use purchasing attributes, such as groups that bought cosmetics or children’s products on Rakuten Ichiba, to evaluate broadcast inventory that is more likely to reach relevant consumers.
chosen inventory can be bought in real time through AdRM-Exchange, a product on Nippon TV’s Ad Reach MAX platform, with bids informed by the planning results.
When an advertiser chooses the measurement option, linkage with Rakuten IDs can be used to compare brand lift and purchase lift between people identified as exposed and not exposed to a commercial.
- Planning: purchase attributes and TV viewing data identify candidate inventory likely to reach the intended customer cohort.
- Buying: the connection to AdRM-Exchange supports bidding and purchasing informed by the analysis.
- Measurement: a Rakuten ID-based comparison of exposed and non-exposed cohorts shows lift in brand metrics and purchasing.
How it differs from conventional TV planning
Television inventory has commonly been chosen using program ratings and audience attributes such as age and gender.
RMP – TV Ads adds behavioral evidence about what consumers purchased.
That allows an advertiser to form a hypothesis about inventory watched by people who bought a particular product category, rather than relying only on a broad demographic such as women in their forties.
Purchase data does not, however, make advertising effectiveness self-evident.
Rakuten’s product page describes purchase-lift analysis as an option that requires integration with another product, so buyers should clarify what is standard and what requires an additional engagement.
Rakuten is extending its data business into television
Rakuten operates services in commerce, travel, finance, and telecommunications and has used registration and service-usage data in its advertising business.
RMP – TV Ads extends that capability beyond Rakuten websites and apps to terrestrial television.
Rakuten does not own the broadcast inventory in this model; it supplies the functions that connect purchasing data, analysis, purchasing, and measurement.
Nippon TV, meanwhile, can make its inventory easier to choose with data and shorten the path from planning to purchasing.
The official Ad Reach MAX site highlights target and period choice, online purchasing, and online access to broadcast-performance records.
Rakuten’s announcement says the platform, which began operating in March 2025, expects other broadcasters to join from this autumn onward.
If participation expands as planned, advertisers may be able to compare more inventory under a common planning model, increasing the value of the data connection.
Three potential benefits for advertisers
A more concrete customer definition
Age and gender categories contain people with very different needs.
Adding purchase categories lets an advertiser build a media plan from behavior closer to the product.
Less separation between analysis and purchasing
When analysis remains in a spreadsheet or report, manual work is still required before it affects a media buy.
The AdRM-Exchange connection can bring inventory evaluation and purchasing into a more continuous operation.
Measurement closer to a business outcome
Adding purchase lift to brand metrics can make it easier to examine the relationship between media spending and business results.
Lift still depends on the compared cohorts and the measurement period, so the number cannot be interpreted apart from its design.
Limits that lift measurement cannot remove
A difference between exposed and non-exposed cohorts does not mean the television commercial caused the entire difference.
Program preferences, prior customer status, retail promotions, and concurrent online advertising can all affect purchasing.
Advertisers should define at least the following conditions in advance:
- how exposure and non-exposure are identified;
- how demographic and behavioral differences between cohorts are adjusted;
- which post-broadcast period counts toward purchasing;
- whether purchases outside Rakuten or in physical stores are covered; and
- how the effects of other media and price promotions are handled.
Without these conditions, even a high lift result says little about whether the campaign can be repeated successfully.
When feasible, advertisers should use geographic or time-based controls and fix the primary metric and decision rule before the campaign, reducing the risk of choosing a convenient result after the campaign.
Data-use and privacy questions
A service that connects purchase and viewing data must explain data governance as carefully as advertising performance.
Rakuten’s Privacy Center states that the group is strengthening personal-data governance and working to provide understandable explanations.
The RMP – TV Ads announcement alone does not specify implementation details such as identifier processing, aggregation level, retention periods, minimum cohort size, or opt-out procedures.
Before signing, advertisers should obtain written answers about purpose limitation, data transfers, safeguards against re-identification, processors, deletion, and consumer inquiries.
Unclear explanations can damage brand trust even when a project meets its formal compliance obligations.
Implementation checklist for advertisers
- State the customer hypothesis in one sentence: identify the purchasing behavior, the message, and the expected change.
- Separate standard features from options: confirm which parts of inventory choice, bidding, brand lift, and purchase lift are included.
- Finalize the measurement design before broadcast: agree on cohorts, comparison methods, periods, exclusions, and success criteria.
- Check reach and price: narrow segments reduce the eligible population, so balance analytic viability against inventory cost.
- Assess data governance: legal, information-protection, and privacy teams should review the data flow and allocation of responsibility.
- Plan the next decision: prepare actions for positive, negative, and inconclusive results.
What digital product teams should notice
RMP – TV Ads is advertising news, but it is also a case study in connecting multiple data systems.
Purchase data, viewing data, inventory, broadcast records, and measurement results have different identifiers and refresh cycles.
In such a system, quality depends on shared data definitions, monitoring for failed exchanges, an audit trail from analysis to purchase, and version control for measurement rules.
A usable interface is not enough; the service must also make it possible to trace which data and conditions produced a decision.
Frequently asked questions
Does the service show a different TV commercial to each viewer?
The official announcement describes a way to choose and buy terrestrial broadcast inventory using purchase attributes and viewing data.
It does not describe individualized commercial delivery to each viewer.
Does purchase lift prove that the commercial caused sales?
Lift is useful evidence, but it does not establish causation on its own.
Advertisers should inspect cohort construction, concurrent activity, and measurement coverage, and use geographic or time controls when appropriate.
Can advertisers buy inventory from broadcasters other than Nippon TV?
Rakuten says other broadcasters are expected to join the Ad Reach MAX platform from this autumn onward.
Available stations, regions, and timing may change, so buyers should confirm the scope when placing an purchase.
Is AI the main feature?
Rakuten says its broader advertising business will use data and AI, but the specific core functions described for RMP – TV Ads are data linkage, inventory planning and purchasing, and measurement.
For procurement, the data used, analytical method, and measurement conditions matter more than an AI label.
Sources
- Rakuten Group announcement of RMP – TV Ads
- Rakuten Marketing Platform product overview
- Nippon TV Ad Reach MAX official site
- Rakuten Group Privacy Center