admin, Author at Perform Media https://test-wp.performmedia.com/author/cshaulis/ Tue, 19 May 2026 16:06:37 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.5 https://performmedia.com/wp-content/uploads/2020/03/cropped-favicon-32x32.png admin, Author at Perform Media https://test-wp.performmedia.com/author/cshaulis/ 32 32 211685865 Why Clean Identity Infrastructure Wins in Healthcare Media https://performmedia.com/why-clean-identity-infrastructure-wins-in-healthcare-media/ https://performmedia.com/why-clean-identity-infrastructure-wins-in-healthcare-media/#respond Tue, 19 May 2026 02:22:38 +0000 https://performmedia.com/?p=4831 The post Why Clean Identity Infrastructure Wins in Healthcare Media appeared first on Perform Media.

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In healthcare marketing, compliance is often framed as a constraint. Privacy regulations, consent requirements, and data governance rules are viewed as obstacles to scale and performance.

Clean identity infrastructure is one of the strongest drivers of media efficiency, trust, and long-term success.

Its impact, however, depends on how that identity is activated. Even the most compliant identity framework can lose effectiveness when deployed across low-transparency media environments. Privacy-safe activation within trusted publisher ecosystems ensures that compliance and performance reinforce one another rather than compete.

Bad Identity Hygiene Creates Blind Spots

Poor identity hygiene leads to more than compliance risk. It creates reporting blind spots that undermine performance.

Common issues include:

  • Overreliance on probabilistic matching where deterministic signals are available
  • Inconsistent handling of NPIs across vendors
  • Limited transparency into how identity is resolved and governed

These weaknesses make it difficult to assess reach accuracy, engagement quality, and true campaign impact. Blind spots can also emerge when supply transparency is limited. Without visibility into where engagement occurs, marketers may struggle to distinguish meaningful professional interaction from passive or low-quality exposure.

Privacy-Safe Identity Improves Accuracy

Clean identity frameworks are built on verified inputs, data minimization, and clear governance. Rather than reducing reach, this approach improves accuracy by eliminating false positives and ambiguous matches.

When identity resolution prioritizes verification and privacy:

  • Audience definitions have become more reliable.
  • Media delivery aligns more closely with intended professionals.
  • Measurement reflects real engagement instead of modeled assumptions.

TRUST AND PERFORMANCE RISE TOGETHER

Identity as Scalable Infrastructure

A compliant identity graph is not just a safeguard. It is infrastructure that supports scalable activation across channels and use cases.

When identity is clean:

  • AI optimization models perform better

  • Intent signals can be applied with confidence

  • Contextual and keyword-driven activation can be optimized responsibly

  • PLD reporting aligns with activation without reconciliation gaps

This foundation allows healthcare marketers to scale without sacrificing integrity.

Compliance as a Competitive Advantage

The most effective healthcare media strategies do not treat compliance as a box to check. They embed it into identity design from the start.

Clean identity infrastructure enables better media, stronger measurement, and more credible insights. In a space where trust matters deeply, that advantage compounds over time.

advertisers@performmedia.com

hello@throtle.io

The post Why Clean Identity Infrastructure Wins in Healthcare Media appeared first on Perform Media.

]]> https://performmedia.com/why-clean-identity-infrastructure-wins-in-healthcare-media/feed/ 0 4831 How Deterministic Identity Unlocks True Efficiency in Media https://performmedia.com/how-deterministic-identity-unlocks-true-efficiency-in-media/ https://performmedia.com/how-deterministic-identity-unlocks-true-efficiency-in-media/#respond Tue, 19 May 2026 02:17:15 +0000 https://performmedia.com/?p=4895 The post How Deterministic Identity Unlocks True Efficiency in Media appeared first on Perform Media.

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Healthcare marketers have long debated the merits of CPC versus CPM media. Click-based pricing promises efficiency, while impression-based buying offers scale. But focusing on pricing models alone misses the real driver of performance: identity precision.

The truth is simple. Media efficiency has far less to do with how inventory is priced and far more to do with how accurately the audience is identified.

Just as important is where and how that audience is reached. Even the most precise identity signal loses value when activated in low-quality or opaque environments. Efficiency emerges when verified identity is paired with transparent, premium healthcare media ecosystems that reflect real professional engagement.

CPC and CPM Are Not the Real Debate

CPC media is often framed as performance-driven, while CPM is viewed as awareness-focused. In practice, both models can succeed and fail depending on the quality of the audience signal behind them.

When CPC media is fueled by probabilistic identity or loose contextual assumptions, clicks may be cheap but rarely meaningful. When CPM media lack’s identity integrity, impressions may be plentiful but diluted.

Efficiency does not come from the billing method. It comes from precision and contextual alignment. When media activation occurs within trusted publisher environments, contextual and keyword signals reinforce identity data, ensuring engagement reflects genuine professional intent rather than passive exposure.

Why Deterministic Identity Changes the Equation

Deterministic identity, anchored in verified NPI data, ensures that media engagement is tied to real healthcare professionals. This is especially critical for CPC media, where brands are paying for action rather than exposure.

When deterministic identity is activated through publisher-direct supply, clicks represent moments of active research or clinical curiosity rather than incidental browsing. Contextual performance environments help ensure that engagement reflects professional intent, not simply availability of inventory.

With deterministic identity in place:

  • Clicks represent verified professional engagement, not accidental or irrelevant traffic.
  • Optimization algorithms learn from high-quality signals instead of guesswork.
  • Media spend aligns more closely with actual clinical relevance.

In this environment, CPC becomes more than a cost model. It becomes a qualified engagement engine.

Paying for Signal, Not Noise

One of the biggest misconceptions in healthcare media is that lower CPC automatically means better performance. In reality, low-quality clicks can be more expensive than high-quality ones when they fail to drive downstream impact.

Deterministic identity ensures that brands are paying for signals, not noise. It reduces waste by eliminating ambiguous matches and ensuring that engagement originates from the intended professional audience.

Equally important is supply transparency. In open or aggregated marketplaces, optimization models often struggle to distinguish meaningful engagement from low-value traffic. Publisher-direct environments provide the context and accountability needed for AI-driven optimization to learn from real professional behavior.

This precision benefits CPM media as well. When impressions are served to verified audiences within relevant contexts, reach becomes meaningful rather than theoretical.

Efficiency Is a Data Problem, not a Pricing Problem

Healthcare media efficiency improves when identity is treated as infrastructure, not a layer added after the fact. Deterministic matching creates a reliable foundation that allows both CPC and CPM strategies to perform as intended.

When identity is clean, media works harder. When identity is fragmented, even the best buying strategy struggles to deliver value.

advertisers@performmedia.com

hello@throtle.io

The post How Deterministic Identity Unlocks True Efficiency in Media appeared first on Perform Media.

]]> https://performmedia.com/how-deterministic-identity-unlocks-true-efficiency-in-media/feed/ 0 4895 From Identity to Intent: Making NPI Data Actionable in the AI-Driven Media Era https://performmedia.com/from-identity-to-intent-making-npi-data-actionable-in-the-ai-driven-media-era/ https://performmedia.com/from-identity-to-intent-making-npi-data-actionable-in-the-ai-driven-media-era/#respond Tue, 19 May 2026 02:09:48 +0000 https://performmedia.com/?p=4907 The post From Identity to Intent: Making NPI Data Actionable in the AI-Driven Media Era appeared first on Perform Media.

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Healthcare marketers have long debated the merits of CPC versus CPM media. Click-based pricing promises efficiency, while impression-based buying offers scale. But focusing on pricing models alone misses the real driver of performance: identity precision.

The truth is simple. Media efficiency has far less to do with how inventory is priced and far more to do with how accurately the audience is identified.

Just as important is where and how that audience is reached. Even the most precise identity signal loses value when activated in low-quality or opaque environments. Efficiency emerges when verified identity is paired with transparent, premium healthcare media ecosystems that reflect real professional engagement.

Why “Who” Without “What” Falls Short

Most identity solutions in healthcare stop at audience creation. They can tell you that a user is an oncologist, a cardiologist, or a nurse practitioner. That information is essential, but it is static. It does not reflect shifting clinical priorities, evolving treatment research, or the moment-to-moment information needs of providers.

At the same time, many media platforms excel at understanding context. They know what content is being consumed, which topics are trending, and what questions professionals are actively exploring. But without verified identity, those signals remain probabilistic and difficult to act on with confidence.

THE GAP BETWEEN IDENTITY AND INTENT IS WHERE OPPORTUNITY IS LOST.

Where Deterministic Identity Meets In-The-Moment Context

When deterministic NPI matching is connected to professional media environments, identity becomes actionable. Instead of simply knowing who an HCP is, brands can understand what that same verified professional is researching right now.

When those signals are activated through contextual and keyword-driven performance solutions, identity moves beyond targeting and becomes precision engagement. By aligning deterministic identity with live content consumption inside premium publisher networks, marketers can deliver messaging that reflects not just specialty, but active clinical interest.

This shift changes how media works in healthcare:

  • Identity moves from static segmentation to dynamic activation.
  • Intent signals become attributable to known professionals, not anonymous traffic.
  • AI models gain higher-quality inputs that improve targeting, optimization, and measurement.

THE RESULT IS NOT JUST BETTER REACH, BUT SMARTER ENGAGEMENT.

Why This Matters in an AI-Driven Media Landscape

AI is only as good as the data it learns from. When identity inputs are fragmented or probabilistic, AI optimization can amplify noise instead of insight. Deterministic identity creates a clean foundation, while contextual media environments provide real-time relevance.

Together, they allow brands to move beyond assumptions and toward evidence. In publisher-direct environments where data quality and supply transparency are controlled, AI models can optimize against meaningful engagement signals, not remnant inventory noise. Deterministic identity paired with contextual performance media ensures that AI is optimizing against verified professionals in relevant clinical moments. That is the difference between exposure and influence, or between impressions served and professionals meaningfully engaged within trusted environments.

Moving From Awareness to Action

Healthcare media is evolving quickly, and expectations are rising just as fast. Brands no longer want to know if their ads ran. They want to know if their media aligned with professional intent, supported meaningful engagement, and delivered measurable value.

By connecting verified NPI identity with contextual intent signals, healthcare marketers can finally move from knowing who their audience is to understanding what they need, when they need it, and how to show up with relevance and trust.

advertisers@performmedia.com

hello@throtle.io

The post From Identity to Intent: Making NPI Data Actionable in the AI-Driven Media Era appeared first on Perform Media.

]]> https://performmedia.com/from-identity-to-intent-making-npi-data-actionable-in-the-ai-driven-media-era/feed/ 0 4907 Why Fragmented Identity Is the Hidden Tax on Healthcare Media https://performmedia.com/why-fragmented-identity-is-the-hidden-tax-on-healthcare-media/ https://performmedia.com/why-fragmented-identity-is-the-hidden-tax-on-healthcare-media/#respond Tue, 19 May 2026 02:04:32 +0000 https://performmedia.com/?p=4914 The post Why Fragmented Identity Is the Hidden Tax on Healthcare Media appeared first on Perform Media.

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Healthcare media rarely fails because of creative or budget. More often, it underperforms because identity is fragmented across vendors, platforms, and methodologies.

This fragmentation creates a hidden tax on media investment, one that shows up as waste, duplication, and measurement gaps. That tax is compounded when activation environments operate independently from identity frameworks. Without alignment between identity resolution and media execution, even well-designed campaigns struggle to translate reach into measurable engagement.

The Cost of Identity Sprawl

Most healthcare campaigns rely on multiple identity providers, each using different match logic, identifiers, and confidence thresholds. The result is identity sprawl.

Symptoms of this sprawl include:

  • The same HCP counted multiple times across platforms.
  • Inconsistent audience definitions from activation to reporting.
  • Limited ability to reconcile media exposure with downstream PLD insights.

These issues inflate reach, distort performance metrics, and erode trust in results.

Why Fragmentation Undermines Measurement

When identity is inconsistent, measurement becomes unreliable. Brands may see strong engagement metrics but struggle to connect them to real-world outcomes. Reporting gaps emerge not because data is missing, but because identifiers do not align.

A fragmented identity ecosystem forces marketers to make assumptions rather than draw conclusions.

Measurement confidence also depends on activation continuity. When campaigns run across disconnected media environments, contextual signals and engagement data may not align with identity resolution, further widening reporting gaps.

Aligning Identity and Context to Reduce Waste

A unified identity graph paired with professional contextual reach reduces duplication and improves confidence throughout the media lifecycle. From audience creation to activation to PLD reporting, alignment ensures continuity.

Publisher-direct healthcare environments further strengthen this alignment by providing consistent identifiers, transparent engagement signals, and controlled supply paths. Contextual and keyword-driven activation reinforces identity precision by connecting verified professionals with relevant clinical content at the moment of interest.

This approach delivers great benefits:

  • Fewer redundant impressions
  • Clearer attribution pathways
  • Greater confidence in match rates and performance metrics

Most importantly, it allows healthcare marketers to trust what they are seeing.

Eliminating the Hidden Tax

The hidden tax of fragmented identity is not always visible on an insertion order, but it shows inefficiency, uncertainty, and missed opportunity. Reducing that tax requires treating identity as a shared foundation rather than a patchwork of point solutions.

When identity is aligned, media dollars go further, insights become clearer, and decision-making improves across teams.

advertisers@performmedia.com

hello@throtle.io

The post Why Fragmented Identity Is the Hidden Tax on Healthcare Media appeared first on Perform Media.

]]> https://performmedia.com/why-fragmented-identity-is-the-hidden-tax-on-healthcare-media/feed/ 0 4914 AI’s Impact on Performance Advertising: What Performance Marketers Need to Know https://performmedia.com/ai-impact-on-performance-advertising/ https://performmedia.com/ai-impact-on-performance-advertising/#respond Sat, 21 Feb 2026 02:35:31 +0000 https://performmedia.com/?p=4715 The post AI’s Impact on Performance Advertising: What Performance Marketers Need to Know appeared first on Perform Media.

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Artificial intelligence is transforming search, and performance advertisers are already feeling the effects in real, measurable ways.

With the rollout of AI-generated summaries like Google AI Overviews, traditional search behavior is shifting rapidly. Fewer users are clicking through to websites. More answers are delivered directly on the search results page and long-standing performance metrics performance teams have relied on for years are starting to lose their clarity.

For performance marketers, this isn’t just a technical change. It’s a structural shift in how intent is discovered, measured, and converted.

How AI Is Changing Search Behavior

AI Overviews now appear on a growing percentage of search queries. Instead of presenting users with a list of links, search engines increasingly provide summarized answers powered by generative AI.

This evolution has introduced what many call “zero-click search,” where users get the information they need without ever leaving the search page.

Declining organic search traffic

Reduced click-through rates (CTR)

Fewer measurable signals for performance optimization

Compressed conversion funnels

In some industries, brands and publishers are reporting traffic declines of 30–50% due to AI-generated answers intercepting traditional clicks.

Search isn’t disappearing, but the way people move from curiosity to action is clearly evolving.

What AI Means for Performance Marketing

AI-driven search impacts performance advertising in two major ways, both of which create new pressure on growth teams:

1. Fewer Available Search Clicks

As AI satisfies user intent earlier in the journey, the pool of traditional search clicks shrinks. That means:

  • Higher competition for paid query inventory
  • Rising CPCs in Google Ads and Microsoft Ads
  • Reduced scalability from keyword-only strategies

In simple terms, performance advertisers are competing for fewer declared intent moments than they used to .

2. Shifting Intent Signals

Historically, a click signaled interest. Today, users may research, compare, and evaluate solutions without ever visiting a site.

Intent still exists, but it no longer always manifests as a measurable click.

This forces performance teams to rethink how they:

  • Identify high-intent audiences
  • Attribute conversion pathways
  • Measure incremental lift
  • Optimize beyond keyword bids

The traditional search funnel is no longer the sole source of performance data.

The Rise of Explicit vs. Implicit Search

To navigate this AI shift, performance advertisers must understand the difference between explicit search intent and implicit search intent.

Explicit Search

Explicit search occurs when users directly type a query into a search engine. For years, this has been the backbone of paid search and SEO strategies.

It’s measurable, direct, and powerful — but increasingly limited by AI-driven results and shrinking click inventory.

Implicit Search

Implicit search captures intent signals through context rather than declared keywords.

Instead of waiting for a user to type a query, implicit intent is inferred from:

  • The content they are consuming
  • The topics they are researching
  • Their stage in the buying journey
  • Behavioral and contextual signals

As AI reduces visibility into query-level behavior, implicit intent across the open web becomes increasingly valuable.

What AI Means for Performance Marketing

AI-driven search impacts performance advertising in two major ways, both of which create new pressure on growth teams:

Intent hasn’t declined.
It has redistributed.

The New Rules of Performance Discoverability

In an AI-first search environment, sustainable performance growth requires a broader approach:

  • Diversification beyond traditional keyword campaigns
  • Contextual alignment with high-intent content environments
  • Measurement models that extend beyond SERP-based attribution
  • A strategy that captures both declared and inferred intent

Performance marketing can no longer rely exclusively on explicit query bidding.

Advertisers must identify intent wherever it surfaces.

How Perform Media Helps Capture High-Intent Conversions

At Perform Media, we help performance advertisers activate implicit intent across the open web.

Our contextual engine dynamically matches over 7 million keyword and topic combinations to live page content and user mindset within a verified, invitation-only publisher marketplace. Campaigns are:

  • 100% cookie-free
  • Optimized for post-click outcomes (sales, form fills, enrollments, quotes, bookings)
  • Purchased on a CPC model
  • Focused on measurable performance, not impressions

Rather than competing solely within shrinking search inventory, we extend performance into trusted, high-intent content environments; capturing conversions where curiosity becomes action.

In an AI-driven search landscape, performance growth depends on identifying intent earlier, broader, and more intelligently.

That’s where contextual performance becomes essential.

Ready to stay visible in an AI-first search world?

Stay discoverable, compliant, and ahead of the curve. Reach out to advertisers@performmedia.com to learn how Perform Media delivers performance in the zero-click world.

The post AI’s Impact on Performance Advertising: What Performance Marketers Need to Know appeared first on Perform Media.

]]> https://performmedia.com/ai-impact-on-performance-advertising/feed/ 0 4715 AI’s Impact on Search: What Brands and Publishers Need to Know https://performmedia.com/ai-impact-on-search/ https://performmedia.com/ai-impact-on-search/#respond Wed, 22 Oct 2025 18:24:14 +0000 https://performmedia.com/?p=4492 The post AI’s Impact on Search: What Brands and Publishers Need to Know appeared first on Perform Media.

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Search is undergoing its most dramatic shift in decades. With the rise of AI Overviews and zero-click experiences, visibility, traffic, and engagement are being reshaped in ways that matter deeply to publishers, advertisers, and brands.

The Current Situation:A World of Zero-Click Search

AI Overviews. AI-generated summaries that appear directly on search results pages now show up in nearly 9 out of 10 information searches. While convenient for users, they reduce the need to click through to websites. The result:

30-50%

declines in publisher traffic year-over-year

-34.5%

drop in click-through rates

60%

of searches ending without a click, according to Bain research

For brands, the implication is clear: being cited in the AI summary has become just as important, if not more, than ranking on page one.

The New Rules of discoverability

Traditional SEO strategies focused on ranking high in the SERP. Today, success means being referenced inside AI summaries and linked as a source for generative content. Large, generalist datasets like Wikipedia, Reddit, and .gov sites are winning by default, even when they lack true expertise.

This creates a new opportunity: publishers and brands that produce unique, authoritative, expert-led content stand to gain. Those who adapt will earn visibility as the engines evolve to favor higher-quality reference material.

“AI isn’t killing search—it’s redefining it. Visibility now depends on being cited, not just ranked. That means the brands with real expertise and trust will win the next era of discoverability.”
Alex Mrazek

Chief Operating Officer, Perform Media

The Growth Velocity Is Unprecedented

The speed of adoption has been staggering. ChatGPT took just 2.5 years to reach 2.5 billion prompts, compared to Google’s 12 years to hit the same milestone in search. Google has already scaled AI Overviews to 1.5 billion monthly queries in under a year, a trajectory that underscores how central this shift has become.

Why Pharma (and Regulated Industries) Need Transparency

In highly regulated spaces like pharma, opaque “black box” solutions aren’t an option. Transparency isn’t just preferred, it’s required. Perform Media was built around this principle from the start, offering advertisers real control, visibility, and premium intent-driven search traffic.

The Cost to Advertisers: Rising CPCs, Falling ROI

As zero-click experiences reduce available clicks, the big engines are raising CPCs to offset lost volume. Advertisers face the double squeeze of fewer clicks and higher costs, leading to diminished ROI. While the market may rebalance over time, brands need solutions now.

Health Search: A Category of Its Own

Not all searches are created equal. A simple lifestyle query like “why run a marathon” might surface just 3 AI Overview links. By contrast, a health query like “respiratory illness” produces 65 AI Overview links. Health and news publishers have felt some of the steepest traffic declines, yet leaders like Cleveland Clinic are finding ways to win by emphasizing expertise, authoritativeness, and trustworthiness.

How Perform Media Bridges the Gap

Perform Media is helping advertisers regain ground in this disrupted environment:

  • Trusted Publisher Network – Our health partners, including WebMD, Cleveland Clinic, and Healthline, are among the most frequently cited in AI summaries.
  • Two-Click Model – When users click through from an AI Overview to our partner content, they encounter ads that redirect them to relevant brand websites. This ensures visibility at the critical moment of intent.
  • AI + Human Insight – We combine advanced AI targeting with 15+ years of contextual alignment expertise, mapping over 7 million segments to uncover unique opportunities beyond the obvious keywords.

“In a zero-click world, performance marketers can’t afford to lose sight of intent. Our job is to reconnect advertisers with the audiences who are still searching — just in new ways.”
Mark Jones

Head of Sales, Perform Media

Built for the AI Era

Perform Media has been AI-powered for more than 15 years. Our platform integrates machine learning across every layer of campaign delivery:

  • Contextual Matching – Proprietary language graphs ensure relevance.
  • Auto-Bidding – Predictive models optimize for conversions.
  • Brand Safety & Compliance – AI algorithms flag unsafe or non-compliant content.
  • Creative Optimization – Smart ad rotation identifies the highest-performing creative.

And because our 2-click ad format validates intent, advertisers benefit from more efficient performance while maintaining privacy-safe, cookieless tracking via our universal pixel.

    The Bottom Line

    AI is fundamentally reshaping how search works. For brands and publishers, this disruption brings both challenges and opportunities: falling clicks and rising costs on one side, but a new path to discoverability on the other.

    Perform Media is uniquely positioned to help advertisers navigate this transition, combining transparency, premium publisher access, and AI-driven performance strategies to capture intent where it matters most.

    “In a world where there’s so much distrust, the reputation of the content provider is
    never going to be more important.”
    Drew Neisser

    CEO and Founder, CMO Huddles

    Ready to stay visible in an AI-first search world?

    Stay discoverable, compliant, and ahead of the curve. Reach out to advertisers@performmedia.com to learn how Perform Media delivers performance in the zero-click world.

    The post AI’s Impact on Search: What Brands and Publishers Need to Know appeared first on Perform Media.

    ]]>     https://performmedia.com/ai-impact-on-search/feed/ 0 4492     Reports API: Generate Custom Report Requests https://performmedia.com/reports-api-generate-custom-report-requests/ Thu, 29 Dec 2022 15:42:52 +0000 https://performmedia.com/?p=2813 The post Reports API: Generate Custom Report Requests appeared first on Perform Media.

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    In this guide, we will provide you step by step instructions to integrate the APIs and make your first call. In addition, this guide includes information about the various APIs and their request and response parameters. Appropriate examples or sample codes are provided in this document for a better understanding of the API.

    The Reports API allows you to create and submit a report request to the server. Based on the request parameters, you can customize the report as required.

    A request is a combination of header and body parameters. This article provides more information about the header and the body parameters.

    Reports API

    Appendix A: List of Dimensions
    Appendix B: List of Measures

    Identifying the Request Header Parameters

    Endpoint: https://campaigns.performmedia.com/reportservice/api/v1/reports

    While creating a request, you need to specify the following mandatory parameters in the header of the request.

    Example with Request Header

    POST campaigns.performmedia.com/reportservice/api/v1/reports HTTP/2

    Host: campaigns.performmedia.com

    Content-Type: application/json

    Authorization: Bearer <ACCESS_TOKEN>

    The following table provides information about the header parameters and their descriptions.

    Header Parameters Description
    POST The method of the request. Ensure that it is POST and the path is specified.
    Host Indicates the endpoint host name.
    Content-Type Specify the content type. For example, application/JSON
    Authorization Specify Bearer and the ACCESS_TOKEN

    Note: Please check with your Account Manager to provide the required Bearer Token to make a successful API Request.

    Identifying the Request Body Parameters

    You can create a report definition in a JSON format, where you specify the elements to be included in the report. The report definition is part of the body of the request.

    Following is a sample request for generating a report based on campaign information for a particular date range.

    The following table provides information about the body parameters in the request.

    NEED ASSISTANCE BUILDING THIS TABLE SO THAT IT WORKS-MAYBE USE NEW TABLE BUILDER MODULE

    Note: Parameters marked with * are mandatory in the API request.

     

     

    Identifying the Response Parameters

    If all the parameters are correctly defined in the request, you should receive an output with the requested data. However, if there are any issues with the request, then an error will be returned. For more information about the error message, refer to the API Validation Table.

    Following is an example of a response.

    The dimensions and measures are displayed using their outputName to reduce the size of the response. For more information about the supported dimensions and measures, refer to the List of Dimensions and List of Measures section.

    The response consists of the following fields:

    Metadata Field

    This field provides the metadata information about the response. This field includes the following information.

    rowCount The total number of matching rows present for this query. 

    Note: rowCount will be independent of the total number of rows returned in the response
    pageAggregations Returns the average or count of all the measures mapped with the provided outputName for a particular report in JSON format.

    Data Field

    The Data section includes the actual data that you have requested in the request. 

    Identifying the Error Messages

    There may be cases where you receive an error as a response. There are two primary types of error responses. 

    Error Type #1: Bad Request (sample error format below)

    In the above example, the error message is returned because the dimensions provided in the request are invalid. This can occur either if the dimension is unavailable or there is a spelling error. To know more about error codes, refer to the API Validation Table.

    Error Type #2: Internal Server Error (sample error format below)

    API Validation Table
    The following table lists API validation fields and error codes associated with those fields.

    Error Code Description API Validation Field
    DATE_FILTER_REQUIRED Returned if you do not specifythe date range in the request. dateFilter
    DATE_LOOKUP_INVALID Returned if the specified dateexceeds the maximum look-back days. You can search for a maximum of 365 days. dateFilter
    DATE_RANGE_INVALID Thiserror message will be returned if the date range mentioned in the request isinvalid. This can happen if:The end date in therequest is before the start date.The start date and/or theend date in the request are later than the present date. dateFilter
    DATE_RANGE_EXCEEDED This error message is returnedif the specified date range in the request exceeds the maximum number of daysallowed. The date range should not be greater than a quarter. dateFilter
    DIMENSION_OUTPUT_NAME_INVALID Returnedif the outputName is invalid. The following characters are accepted in theoutputName field:[A to Z] and [a to z][0 to 9] and [ _ ] dimensions[x].outputName
    DIMENSION_OUTPUT_NAME_DUPLICATE Returned if the outputName isduplicated across measure and dimension. dimensions[x].outputName
    DIMENSION_FIELD_REQUIRED Returned if dimension fieldparameter is not specified in the request. dimensions[x].field
    DIMENSION_INVALID Returned if the dimensionspecified in the request is invalid. This error will be returned if there isa spelling error in the dimension name or the dimension specified is notsupported by the system. dimensions[x].field
    DIMENSIONS_REQUIRED Returned when you do notspecify the dimension parameter in the request. dimensions
    DIMENSIONS_TOO_FEW Returned when you specify thedimension parameter but do not specify the value. Ensure that you specify aminimum of 1 value in the dimension parameter. dimensions
    DIMENSIONS_TOO_MANY Returned if more than 8dimensions are specified in a request. dimensions
    END_DATE_INVALID Returned if the end date is notin the valid format, YYYY-MM-DD. dateFilter.end
    END_DATE_REQUIRED Returned if the end date is notspecified in the request. dateFilter.end
    FILTER_FIELD_INVALID Returned if the filterspecified in the request is invalid. This error will be returned if there isa spelling error in the filter name or the filter specified is not supportedby the system. filters[x].field
    FILTER_FIELD_REQUIRED Returned when you do notspecify the filter parameter in the request. filters[x].field
    FILTER_OPERATOR_REQUIRED Returned if you do not specifythe filter operator in the request. filters[x].operator
    FILTER_OPERATOR_INVALID Returned if the filter operatormentioned in the request is invalid. filters[x].operator
    FILTER_VALUE_INVALID Thiserror is returned when:The data type in thefilter value request is invalid. When you specify a filterthat is not available in the system or there is a spelling error in thefield filters[x].values[x]
    FILTER_VALUES_TOO_FEW Returned when you specify thefilter parameter but do not specify the value. Ensure that you specify aminimum of 1 value in the filter parameter. filters[x].values
    MEASURE_OUTPUT_NAME_INVALID Returnedif the field outputName is invalid. The following characters are accepted inthe outputName field:[A to Z] and [a to z][0 to 9] and [ _ ] measures[x].outputName
    MEASURE_OUTPUT_NAME_DUPLICATE Returned if the outputName isduplicated across measure and dimension. measures[x].outputName
    MEASURE_INVALID Returned when the measurespecified in the request is invalid. A spelling error or a measure notsupported by the system will return this error. measures[x].field
    MEASURE_FIELD_REQUIRED Returned if the measure fieldparameter is not specified in the request. measures[x].field
    MEASURES_REQUIRED Returned when you do notspecify the measure parameter in the request. measures
    MEASURES_TOO_FEW Returned when you specify themeasure parameter but do not specify the value. Ensure that you specify aminimum of 1 value in the measure parameter. measures
    PAGE_NUMBER_TOO_LOW Returned when the number ofpages mentioned in your request is less than 1. paging.pageNumber
    PAGE_SIZE_TOO_LOW Returned when the number ofrecords to be displayed on the page is less than 50. paging.pageSize
    PAGE_SIZE_TOO_HIGH Returned when the number ofrecords to be displayed on the page is more than 5000. paging.pageSize
    START_DATE_INVALID Returned if the start date isnot in the valid format, YYYY-MM-DD. dateFilter.start
    START_DATE_REQUIRED Returned if the start date isnot specified in the request. dateFilter.start
    SORTING_FIELD_INVALID Returned if the sorting fieldmentioned in the request is invalid. sorting.field
    SORTING_ORDER_INVALID Returnedif the sorting order is invalid.Note: Sorting field value must beadded either as dimension or measure sorting.order

    Appendix A: List of Dimensions

    The following table provides a list of supported dimensions:

    Field Name Data Type Filter Operators Supported Notes
    date dateTime – Indicates the date. Should be in the following format:

    YYYY-MM-DD
    hour int Equals, NotEquals Indicates the hour of the day. The acceptable values are:

    [0, 1, 2, 3,…,23]
    month string Equals, NotEquals Indicates the month. The available values are:

    [January, February,…, December]
    campaign string Equals, NotEquals, Like Indicates the Campaign name.
    campaignId int Equals, NotEquals Indicates the Campaign ID.
    campaignTag string Equals, NotEquals, Like Indicates the campaign tag for that campaign. For example,
    campaignType string Equals, NotEquals Indicates the type of campaign. The values are following:

    • Search
    • Keyword Sponsorship
    • Native
    adGroup string Equals, NotEquals, Like Indicates the name of the Ad group.
    adGroupId int Equals, NotEquals Indicates the Ad group ID.
    adId int – Indicates the Ad ID.
    keywordMatchType string Equals, NotEquals Indicates the keyword match type. Available options are:

    • Broad
    • Phrase
    • Exact
    matchedTerm string Equals, NotEquals, Like Indicates the Match Term that will be used to match your Ads with searches.
    category string – Indicates the category name. For example, health -> vision care
    device string Equals, NotEquals Indicates the device. The available options are:

    • Desktop
    • Tablet
    • Smart Phone
    • Others
    browser string Equals, NotEquals Identifies the browser.  Available options are:

    • Google Chrome
    • Internet Edge
    • Internet Explorer
    • Mozilla Firefox
    • Safari
    • Others
    countryCode string Equals, NotEquals Indicates the country code. Supports ISO ALPHA-2 Codes. For example, US.
    publisherId string Equals, NotEquals, Like Indicate the Publisher Identifiers.
    conversionEvent string Equals, NotEquals, Like Indicates the conversion event.
    biddingType string Equals, NotEquals Indicates the bidding type used. Available values are:

    • CPM
    • CPC
    • CPA
    biddingStrategy string Equals, NotEquals Indicates the bidding strategy. Available values are:

    • Auto
    • Manual

    Appendix B: List of Measures

    The following table provides a list of supported dimensions:

    Field Name Data Type Description
    impressions int Indicates the total number of served Ad impressions.
    clicks int Indicates the total number of Ad clicks.
    ctr decimal Indicates the click-through rate for an Ad. It defines how often people who see your Ad end up clicking it.
    cost decimal Indicates the total billing amount.
    conversions decimal Sum of weighted events which are counted as conversions.
    conversionRate decimal The average number of conversions per Ad interaction, shown as a percentage.
    conversionValue decimal Indicates the aggregated Value of weighted conversions as specified by the advertiser.
    cpc decimal Indicates the average cost per click.
    cpm decimal Indicates the average cost per 1000 impressions.
    cpa decimal Indicates the average cost per action.
    valuePerConversion decimal Indicates approximately how much, on average, each of your conversions is worth.

     

    The post Reports API: Generate Custom Report Requests appeared first on Perform Media.

    ]]>     2813     Conversion Tracking Via Other Methods https://performmedia.com/conversion-tracking-via-other-methods/ Thu, 29 Dec 2022 15:31:13 +0000 http://test-wp.performmedia.com/?p=2700 The post Conversion Tracking Via Other Methods appeared first on Perform Media.

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    To import offline conversions into the Perform Media reporting interface, please follow the steps below.

     

    Prerequisites

    Prior to ingesting the 1st file for an advertiser, complete the following:

    1. Determine the Email Address and Subject Line file will be submitted under: The system recognizes the sender’s conversion email address using Address and Subject line (Typically, it will be “Offline Conversion Ingestion – Perform Media”). This is a one time process. Please work with your Perform Media Partner Manager to define the subject line and email address.

    2. Provide Conversion Ingestion file specifications: Specify the list of columns that are to be included in the file and share with your Perform Media Partner Manager.

    3. Logging of ClickID : Confirm with your Partner Manager if they are passing the ClickID information in the landing URL for that to be logged at the advertiser’s end.

     

    Create Conversion Ingestion File

    The conversion Ingestion file is “Comma delimited” csv file with columns as defined below (See Sample File).

    Important: The column headers are Case Sensitive.

    Parameter  Mandatory?  Data Type  Details
    Date  Yes  Date  Date on which the conversion occurred in mm/dd/yyyy format.
    Advertiser ID  Yes  Number  The unique id for each advertiser found in the console (Note: Conversions for only one advertiser are allowed in a single file). 
    Click ID  Yes  Text* Click ID associated with each conversion.
    Conversions  Yes  Number  Number of conversions to be attributed to a  single Click ID.
    Conversion Event  No  Text  Event Name for the conversion.
    Conversion Payout  No  Amount  Dollar value of the Payout received by the advertiser for the conversion/s.
    Conversion weight  No  Decimal  Can be used by the advertiser to indicate a  partial conversion in a multistep conversions process. 

     

    Create Conversion Ingestion File and share with Perform Media Product Team to confirm that the required settings are in place. Once you have received approval, send the file to conversions@performmedia.com. It will be ingested automatically.

    Please note that after emailing the conversion ingestion file, it may take 1-2 hours for those conversions to appear in the reporting interface.

     

    Notes

    De-duplication:

    • The system automatically deduplicates against the same clickID/event combination. 

    Alerts & Notifications:

    • Internal users can choose to receive a daily email notification listing line upload successes and failures (e.g. duplicate clickID/event combinations).

    Questions & Support:

    • For questions regarding conversion tracking via Other Methods, please contact your Partner Manager.

    The post Conversion Tracking Via Other Methods appeared first on Perform Media.

    ]]>     2700     About Conversion Tracking https://performmedia.com/about-conversion-tracking/ Thu, 29 Dec 2022 15:09:16 +0000 http://test-wp.performmedia.com/?p=2540 The post About Conversion Tracking appeared first on Perform Media.

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    Conversion Tracking with Perform Media Console (PMC) can be used to measure the effectiveness of your campaigns against your business goals. Business goals like product purchase, form submits or page views within your website can be tracked as conversions.

    SETTING UP CONVERSION TRACKING

    Conversion Tracking can be set up via:

    We recommend the Universal Pixel solution to take maximum advantage of tracking capabilities. Below are some of its advantages.

    • Easy implementation via any Tag Manager platform.
    • Ability to create custom audiences and retargeting segments.
    • Automatic integration with PMC autobidder for ROAS and CPA goal optimization. 
    • Tracking in real time for ROAS and CPA goal optimization.
    • No impact on page performance or SEO ranking.
    • GDPR and CCPA complaint. Supports Do Not Track (DNT) functionality.

     

    The post About Conversion Tracking appeared first on Perform Media.

    ]]>     2540     Conversion Tracking Via Server-Side Pixel https://performmedia.com/conversion-tracking-via-server-side-pixel/ Thu, 29 Dec 2022 15:08:54 +0000 http://test-wp.performmedia.com/?p=2579 The post Conversion Tracking Via Server-Side Pixel appeared first on Perform Media.

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    You may choose to do conversion tracking without installing the PMC pixel. This can be done via Server-side pixel (S2S pixel) tracking.

    The option is typically used when you do not have access to the source code advertiser website or for conversions that happen on 3rd party platforms (for example mobile downloads on the play store).

    In the server-side pixels, the pixel is fired from your servers and does not need to be placed on the webpage.

     

    IMPLEMENTATION OF S2S TRACKING

    Please log into PMC via campaigns.performmedia.com and follow the below instructions.

    Instruction Screenshot
    1. Set up a tracking URL parameter for the Perform click ID via the Advertisers section.
    2. This tracking parameter will be added to all the destination URLs. You must retrieve the value of the tracking parameter on your website (from the destination URL). This will be required in step 3. http://advertiserLandingPage.com/?performclickID=271635467313254765

    3. When a conversion event occurs, the following postback URL can be fired from your servers.

    Please modify the highlighted portions of the URL based on the definition below.

    		 https://c.pmsrv.co/v2/sscvr?akey=#AdvertiserKey&cid=#clickID& event=#eventname

     

    POSTBACK URL PARAMETERS

    Following are the parameters supported in the Postback URL.

     

    Parameter Name Mandatory Description
    event Yes The event name for the specific action.
    weight No The conversion weight can have any value between 0-1. By default the conversions will be weighted as 1.
    cid Yes This parameter must contain the Perform click Id which was retrived from tracking parameter in the destination url.
    py No If you have a variable payouts, pass the amount value of each conversion in this parameter. The parameter is useful to pass the value of product sold in ecommerce use cases.
    akey Yes The advertiser key which is unique to your account and shall be provided by your Partner Manager.
    datetime No

    The Date and Time when the conversion. Note that this time will be considered in UTC.

    Sample Format:

    &datetime=2020-12-22T09:10:30+04:00

    or

    &datetime=2020-12-22T05:10:30Z

    Where Z means UTC.

     

    Kindly provide your Partner Manager with the following to ensure a smooth setup process:

    • Parameter to pass #clickID#
    • IP ranges of the server(s) making the conversion call, so we can whitelist the same on our servers

    The post Conversion Tracking Via Server-Side Pixel appeared first on Perform Media.

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