Yes. The Datalink API brings partner measurements onto the same asset as CreativeX scores and media results. This lets teams examine different assessments of the same creative together and use partner data as part of their broader creative analysis.

Yes. The Reporting API makes ad-level creative data available to business intelligence tools, data lakes and media mix models. It supports recurring reporting workflows, so analysts can examine creative alongside media, sales and brand metrics without repeatedly building manual exports.

Yes. Once your system is connected through the Content API, assets can be submitted for scoring automatically from your digital asset management system, production platform or generative AI tool. Results are returned to the originating system, helping teams review creative against their standards before it reaches media.

Yes. CreativeX APIs connect creative data with existing production, reporting and measurement workflows. Teams can bring scoring into their production tools, use creative data in their analytics environment and connect partner measurements to the same assets, making the findings available where decisions happen.

Yes. Generative Reports bring relevant answers and findings together into a report that brand, media and insights teams can use. This gives teams a shared view of the issues and priorities, helping them move from individual questions to coordinated decisions.

Yes. Agents can identify gaps against a target and recommend where to direct attention. For example, they can highlight media investment behind assets that fall short of your standards and recommend changes to help close a Quality Spend gap. Teams can use those findings to prioritize creative and media decisions.

CreativeX agents run on the Creative Data Graph, drawing on the creative data and standards recorded there. That gives their analysis context about your brands, assets and campaign execution, so you can ask questions grounded in your own creative operation.

You can ask how brands, markets and partners compare against your creative standards, which guidelines assets miss most often, and how your execution compares with industry benchmarks. For example, you could ask, “Which guidelines is our creator content failing?” and use the findings to focus feedback and revisions.

Creative Enrichment brings together information about an asset from CreativeX, partners and your own models. Creative Scoring assesses assets against defined standards. Enrichment expands the information available for analysis and can supply additional partner signals for the standards used in scoring.

Different measurements describe different aspects of an asset. Examining them together helps teams investigate patterns that a single score may not reveal, including how combinations of creative characteristics and partner signals relate to outcomes. Those findings can inform future briefs, creative tests and standards.

Yes. You can combine CreativeX guidelines with partner signals in a single creative standard and assess assets against it automatically. This allows teams to define requirements using more than one source of measurement and identify where an asset falls short of the combined criteria.

Yes. Creative Enrichment can bring data from your own models together with CreativeX assessments and partner signals on the same asset. This allows your team to include information specific to your business when examining creative and deciding what to investigate or change.

Creative Enrichment brings partner signals into CreativeX through Datalink, alongside the creative elements, guideline results and scores recorded for each asset. This gives teams a shared view of information such as attention, emotion and predictive signals, so they can examine different assessments of the same creative together.

Yes. The Creative Data Graph can retrieve available historical campaign data from connected ad accounts. It regularly imports new data from those accounts, giving teams access to past campaign activity alongside ongoing execution.

APIs are the primary way to connect the Creative Data Graph to your existing systems. They make creative data available within your production, reporting and analytics workflows, so teams can use it in the tools they already work with.

Creative Scoring assesses individual assets against relevant creative standards. Creative Mix examines the combination of ideas, creators, formats and placements across a campaign. Together, they help teams understand whether assets meet their standards and where the campaign’s overall mix needs attention.

Creative Mix shows where each creative idea ran across markets, channels and placements, and where it did not appear. Teams can review those gaps against campaign priorities and decide which ideas need assets adapted for additional placements.

Creative Mix brings together spend and return data for brand content and individual creators. Teams can compare the investment behind each with the results reported, then use those findings to inform budget allocation and future creator briefs.

Yes. The diversification view lets teams assess the range of distinct ideas in a batch of assets before launch. This helps identify when a campaign has many similar executions and gives teams an opportunity to request different creative approaches before committing media investment.

Creative Mix groups similar assets to show the range of distinct ideas represented in your content. This helps teams assess diversification beyond the number of files produced and give partners clearer direction on where new ideas are needed.

A higher score indicates stronger adherence to the creative standards being assessed. Those standards can draw on evidence linking creative execution to business outcomes, but a score does not predict or guarantee an individual ad’s performance. It helps teams identify execution issues and prioritize improvements; campaign measurement establishes how the advertising performed.

Before launch, scoring helps teams identify guideline failures and prioritize revisions. During a campaign, those findings can inform recommendations to fix or replace assets and reconsider the media investment behind them. Production and media teams can use the same evidence to coordinate their next steps.

Yes. Creative Scoring covers content from agencies, production partners, creators, in-house studios and generative AI tools. Applying relevant standards across those sources helps teams compare adherence and identify where assets need attention, regardless of who or what produced them.

Yes. Creative Scoring supports standards tailored to your requirements, with assets assessed against the guidelines relevant to their brand, channel and format. This gives teams a consistent framework while accounting for the different requirements an asset needs to meet.

Creative Scoring assesses how an asset meets defined creative guidelines. It makes adherence to those standards measurable, showing which criteria an asset meets and where it falls short. Teams can use those findings to give specific feedback and prioritize improvements.

It provides context from your own creative execution: what was produced, who produced it, where it ran and the results associated with it. That connected history gives AI tools information specific to your brands and campaigns to draw on when supporting analysis and decisions.

By connecting campaign goals with the assets and placements used to deliver them, the graph helps teams trace execution from brief to placement. Teams can investigate where execution diverged from the intended approach and use that evidence to inform changes to briefs, assets or activation.

You can trace who or what produced an asset, where it ran, the media investment behind it and how it performed. The graph also connects that history with the asset’s creative elements and intended campaign goal, helping teams investigate execution with the relevant context in one place.

The Creative Data Graph connects creative assets with their production sources, placements, media spend, performance and campaign goals. It organizes those relationships across brands, markets, channels and partners, giving teams a way to examine creative execution in context.

CreativeX provides recommendations to inform budget shifts, asset replacements, and creative fixes. Teams can use the findings to prioritize which assets need revision, which could be replaced, and where to reconsider allocation. Connecting those recommendations to media spend helps creative and media teams decide what needs attention first.

Yes. CreativeX lets you examine creative and spend data by brand, market, channel, and partner. These views help teams locate gaps and bring specific findings into conversations with the people responsible for the assets and the investment behind them.

Quality Spend connects media investment with adherence to your creative standards. It helps teams understand whether their budget is supporting the execution they intended and where changes to assets or allocation deserve attention. It measures standards alignment, rather than the financial return generated by an ad.

CreativeX connects media spend to individual assets and their creative scores. Teams can see which assets meet the relevant standards and how much investment sits behind those that need attention. This helps prioritize issues based on the budget involved, alongside the creative changes required.

A creative score shows how an asset meets the criteria being assessed. It helps teams identify execution issues and prioritize improvements. A higher score demonstrates stronger adherence to those criteria; it does not, by itself, prove higher sales, brand lift or media performance.

Yes. The Content Production offering includes quality assessment across creator content and AI-generated assets, alongside agency and studio output. This helps teams evaluate content from different sources against relevant campaign standards.

Partner Reporting lets you compare creative quality across production sources and identify where output falls short of your standards. That evidence helps teams give more specific feedback, prioritize revisions and address recurring issues with agencies, studios and creators.

Yes. Creative Scoring supports your own requirements alongside platform guidelines and brand standards. This gives production teams and partners a shared basis for assessing creative, with findings tied to specific criteria so teams can understand what needs attention.

CreativeX helps identify gaps in asset coverage and creative that falls short of relevant platform, brand, or campaign standards. Teams can use those findings to prioritize missing assets and revisions while there is still time to address them before launch.

Content Production shows the ideas, voices, formats and placements represented in your campaign’s assets. Teams can review coverage across platforms and markets, identify gaps, and use that information to focus production briefs and requests for additional content.

CreativeX adds information about the creative that ran, helping teams examine campaign results alongside creative execution. This brings creative quality and brand asset usage into analyses of sales, brand lift, and media efficiency, giving teams more specific evidence to inform future briefs and investment decisions.

CreativeX provides creative data that can be incorporated into your media mix model. This helps your measurement team examine creative alongside other marketing variables when assessing sales performance and planning investment. The findings depend on the model, methodology, and data used.

CreativeX enriches brand lift analysis with data on the distinctive brand assets present in your creative and the combinations in which they appear. Teams can examine those patterns alongside study results and use the findings to inform which brand elements to carry into future briefs and testing.

CreativeX helps teams examine creative quality and asset characteristics alongside media costs and performance. This adds creative context to differences between ads, helping teams identify patterns worth investigating and changes worth testing in future creative.

Teams can use the analysis to identify creative characteristics associated with stronger results, review how brand assets were used, and set priorities for future testing. Those findings give the next brief a more specific evidence base, helping teams decide what to repeat, adapt or investigate further.