Use PeerLogix to build a content shortlist around audience fit, catalog gaps and the markets your deal serves. Cross-service viewing evidence shows the audience behind a title, helping buyers judge what it adds and sellers explain why a package belongs in a specific catalog. Combine that evidence with confirmed rights and your economics to make the acquisition decision.
PeerLogix brings more than a decade of streaming expertise to that work. Pluto TV used our intelligence to inform catalog strategy in the period leading up to Viacom's acquisition. The same underlying question guides this workflow: which content serves the audience your business needs to reach?
Define the role before comparing titles
A service might want to attract a new audience, deepen an existing genre, keep viewers engaged between premieres or strengthen a local-language catalog. A distributor may be identifying likely buyers for a package. State the role in the brief so the shortlist is judged consistently.
Separate the audience objective from the financial outcome. A title can attract households that the catalog currently misses. Whether those households become paying accounts or additional advertising revenue depends on distribution, promotion, the offer and the product experience. Define which of those steps your data can measure.
If the brief specifies age, attitudes or purchase behavior, obtain a suitable permitted source for those attributes. Household viewing relationships can describe shared title audiences. They do not identify an individual viewer's demographics or explain why that person watched.
Scroll sideways if needed to read every column.
| Decision | Evidence to inspect | What the buyer must add |
|---|---|---|
| Audience fit | Title reach, related audiences, language and market patterns | The service's target audience and existing customer context |
| Catalog contribution | Overlap with current titles, concentration and gaps | The available catalog and planned releases in the rights window |
| Durability | Performance after launch, comparable seasons and repeat activity | Promotion, placement and local availability assumptions |
| Rights fit | Country, service availability and content ownership context | Confirmed rights, exclusivity, term, languages and permitted formats |
| Commercial value | Audience scenarios and relevant historical comparisons | Costs, margin, conversion assumptions and alternative uses of budget |
Build a comparable title set
Start with titles that could perform the intended role. Genre is a useful filter, but it is not enough. Two thrillers may attract different audiences, while a drama and a comedy may share households. Use both content attributes and observed audience relationships.
Align release age and measurement period. A new season's opening week should not be judged against an older title's quiet month without that context. Compare launch, settled viewing and relevant catalog periods separately. For series, distinguish episode availability and release patterns.
Inspect local availability and window changes. A rise after a title enters a larger catalog may reflect expanded access. That observation can be commercially useful, but it does not establish that the same result will repeat on a different service. Record the conditions under which the comparator performed.
Distinguish fit from additional reach
Audience overlap helps reveal a candidate's relationship to your catalog. High overlap can support familiarity and a coherent programming offer. Lower overlap can suggest an audience the service does not currently serve. Either can be valuable depending on the role.
Examine both audience size and affinity. A large title may overlap with many shows simply because it reaches many households. A more specific relationship can become visible after comparing overlap with the group sizes. The audience overlap guide explains directional shares, lift and deduplicated reach.
Potential reach is an input to a scenario. It is not a forecast of new subscribers. Check how much of the candidate audience already uses the service where compatible evidence is available, and identify the conversion assumptions needed to move from audience interest to a business outcome.
Examine catalog dependence
What happens when a few titles carry the catalog?
The PeerLogix catalog concentration chart measures the top ten titles' share of summed U.S. title reach within each covered catalog. The same household can contribute to several titles, and shared titles can appear in several catalogs. Use it to examine catalog concentration, then follow the title-level viewing history behind the next acquisition decision.
Use that finding to ask which rights are expiring, which audiences need a follow-on title and whether the acquisition broadens the catalog. Bring the leading titles, their rights windows and the audience-fit question to PeerLogix to investigate the acquisition opportunity behind that pattern.
Compare concentration with the release calendar. A temporary peak around a major premiere and persistent dependence on one franchise imply different planning needs. Check whether the supporting catalog serves the same households and whether those titles will remain available through the proposed window.
The PeerLogix research library provides dated examples of portfolio analysis. Keep report dates and scenario assumptions attached when applying the method. A historical report is a worked source, rather than a statement that its forecast remains current.
Apply the territory and rights constraints
Ask the seller to confirm rights by territory, term, exclusivity, language and distribution format. A global audience story may have little bearing on a deal limited to one country or a short window. Localize the evidence to the rights you can acquire.
Audience counts across markets need compatible denominators. A larger panel can produce more observations even when the title has a lower share of that panel. Use the country analysis guide to distinguish audience size, concentration and normalized interest.
Review the operating costs alongside the license fee. Localization, materials, promotion, technical delivery and placement can change the economics. Include these in the same scenario rather than treating them as a later implementation detail.
Turn evidence into a value scenario
Write down how the acquisition could create value for this buyer. For a subscription service, the path might involve incremental acquisition or retention. For an advertising-supported service, it may involve additional monetizable viewing. Each path needs assumptions that extend beyond title popularity.
Use a counterfactual: what would happen if the service bought another title or spent the money elsewhere? A model that credits all future viewing to the acquisition can overstate value when the audience would otherwise watch the existing catalog.
Illustrative buyer economics
From an audience hypothesis to a price discussion
Suppose a subscription service models 5,000 additional customers attributable to a package, with $30 of net contribution per customer over the chosen horizon. That produces $150,000 before the package's incremental costs. If localization and promotion cost $35,000, $115,000 remains before paying the license fee and allowing for risk.
Those figures are invented assumptions, not a PeerLogix valuation. The model is most sensitive to whether the 5,000 customers are truly additional and whether the contribution estimate fits the buyer. Test lower and higher cases, and compare the opportunity with alternative uses of the budget.
Keep the observed evidence beside the assumptions it informs. A viewing relationship may support the audience definition, while a conversion rate comes from the buyer's historical campaigns. Label modeled value as a scenario. It is not an observed market price or a guarantee of the seller's acceptable price.
For sellers: build a buyer-specific evidence brief
Begin with the rights your company can offer: titles, territories, term, languages and distribution formats. Identify buyers whose programming objectives could fit that package. A general popularity rank helps explain the title's profile; a buyer-specific case also needs its catalog, target audience and upcoming windows.
Compare the package with relevant titles in each buyer's markets. Explain whether it deepens an established audience or could serve a gap, using compatible audience definitions and dates. Include the strongest countercase, such as heavy overlap with content the buyer already owns, limited local evidence or a short usable window. A useful brief lets the buyer assess that concern.
Separate the observed finding from the commercial proposal. Present price assumptions, available rights and the next validation question beside the evidence. Audience fit does not establish purchase intent or the buyer's willingness to pay. Use the brief to earn a focused conversation and learn which business assumptions the buyer can verify.
Turn the shortlist into a PeerLogix analysis
PeerLogix's content and licensing offering connects candidate selection, buyer-specific value analysis and seller positioning. Bring the candidate titles, target service, territories and rights window. We use that brief to focus the audience evidence on the deal you can make.
For a buyer, the result should identify each candidate's audience role and its contribution to the catalog. For a seller, it should connect the offered package to the buyer's programming need. Cross-service viewing context gives both sides a stronger basis for discussing fit than title recognition alone.
Use the evaluation process to agree the relevant coverage, reproduce an audience finding and define the next scope. Your rights and commercial assumptions stay attached to the analysis, so the evidence addresses the actual purchase.
Finish with a decision record
For each shortlisted title or package, record the audience role, supporting evidence, rights constraints, base and downside economics, and the next verification needed. Keep rejected candidates and the reason for rejection; that makes future decisions easier to compare.
After a deal, compare the result with the assumptions that supported it. Review audience reach, engagement and the business outcome with compatible client data. Learning which assumptions held is more valuable than celebrating a popular title without checking whether it fulfilled the purchase's purpose.
Choose PeerLogix to bring audience evidence into the acquisition conversation. Send your package, target markets and programming goal. We will help focus the analysis on what that content adds to the buyer's catalog.
Your next step
Put PeerLogix to work.
Share the candidate titles, buyer or service, rights window and markets. We will shape the audience analysis around your acquisition or sales decision.
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