{"id":2049,"date":"2026-10-16T10:38:00","date_gmt":"2026-10-16T02:38:00","guid":{"rendered":"\/blog\/?p=2049"},"modified":"2026-10-14T22:42:41","modified_gmt":"2026-10-14T14:42:41","slug":"retail-media-proxy","status":"publish","type":"post","link":"\/blog\/retail-media-proxy","title":{"rendered":"Retail Media Proxy: 7 Ways Residential Proxies Support Ad Verification"},"content":{"rendered":"\n

Retail Media Proxy<\/strong> infrastructure gives ad verification systems a way to observe public retail advertising from multiple network locations instead of relying on a single server IP. For brands monitoring sponsored products across countries, retailers, or large keyword sets, the network identity behind each observation can become an important part of the testing methodology.<\/p>\n\n\n\n

Consider a monitoring system running from one cloud server in the United States. Even if it checks thousands of retail search pages every day, every observation may still originate from the same network environment.<\/p>\n\n\n\n

That creates a limitation.<\/p>\n\n\n\n

A campaign intended for another geographic market should not automatically be evaluated only from a US data-center connection. Likewise, repeatedly sending all verification requests through one IP provides a narrow network perspective and creates a single point of failure for the monitoring system.<\/p>\n\n\n\n

Residential proxies <\/a>address this problem at the network layer.<\/p>\n\n\n\n

Instead of asking a proxy to determine whether an advertisement should appear, the verification system uses proxy infrastructure to control where its own permitted requests originate, maintain appropriate sessions, distribute requests across a proxy pool, and verify the exit IP associated with each observation.<\/p>\n\n\n\n

The distinction is important:<\/p>\n\n\n\n

A proxy does not control the retail advertising auction. It controls the network route used by the monitoring application.<\/strong><\/p>\n\n\n\n

This article examines seven practical ways residential proxies can support geographically distributed retail media verification.<\/p>\n\n\n\n

Why Retail Media Verification Needs Proxy Infrastructure<\/h2>\n\n\n\n

Retail media monitoring often begins with a simple task: search for a commercial keyword and check whether a sponsored product is visible.<\/p>\n\n\n\n

At small scale, someone can perform that check manually.<\/p>\n\n\n\n

At larger scale, the problem changes.<\/p>\n\n\n\n

Imagine a brand monitoring 200 priority keywords across the United States, United Kingdom, Germany, Japan, and several other markets.<\/p>\n\n\n\n

If each keyword is checked several times per day, the system quickly produces thousands of observations.<\/p>\n\n\n\n

Running every request through one IP creates several problems.<\/p>\n\n\n\n

The network location may not correspond to the market being tested. Repeated requests are concentrated on one network identity. Regional observations become difficult to separate. And if that single route becomes unavailable, the entire monitoring job can fail.<\/p>\n\n\n\n

A residential proxy layer changes the architecture.<\/p>\n\n\n\n

Instead of:<\/p>\n\n\n\n

Monitoring Server \u2192 Retail Website<\/strong><\/p>\n\n\n\n

the workflow becomes:<\/p>\n\n\n\n

Monitoring Server \u2192 Residential Proxy \u2192 Retail Website<\/strong><\/p>\n\n\n\n

For geographic monitoring, it can be extended to:<\/p>\n\n\n\n

Verification Job \u2192 Target Market \u2192 Proxy Session \u2192 Verified Exit IP \u2192 Retail Observation<\/strong><\/p>\n\n\n\n

The proxy therefore becomes part of the measurement infrastructure rather than an optional add-on.<\/p>\n\n\n\n

A useful verification record can preserve that network context alongside the advertising observation.<\/p>\n\n\n\n

Field<\/th>Purpose<\/th><\/tr><\/thead>
Target market<\/td>Defines where the verification job is intended to run<\/td><\/tr>
Proxy region<\/td>Records the requested proxy location<\/td><\/tr>
Exit IP<\/td>Confirms the network route actually used<\/td><\/tr>
Session ID<\/td>Connects related requests<\/td><\/tr>
Keyword<\/td>Identifies the retail search being tested<\/td><\/tr>
Sponsored observation<\/td>Records what was observed<\/td><\/tr>
Timestamp<\/td>Makes repeated comparisons possible<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

This structure makes proxy-based observations easier to reproduce and diagnose.<\/p>\n\n\n\n

1. Use Residential Proxies <\/a>for Geographic Ad Observations<\/h2>\n\n\n\n

The most direct Retail Media Proxy use case is geographic routing.<\/p>\n\n\n\n

Suppose a brand runs sponsored product campaigns in several markets.<\/p>\n\n\n\n

A monitoring system located on one cloud server should not assume that changing a language parameter is equivalent to changing the network location of the request.<\/p>\n\n\n\n

Instead, the system can assign proxy routes according to the intended observation market.<\/p>\n\n\n\n

A US verification job uses an appropriate US residential route.<\/p>\n\n\n\n

A Japanese verification job uses an appropriate Japan residential route.<\/p>\n\n\n\n

A German verification job uses an appropriate Germany residential route.<\/p>\n\n\n\n

The application can then compare the observations produced under those controlled network conditions.<\/p>\n\n\n\n

This does not<\/strong> mean a residential IP guarantees that a particular regional advertisement will appear.<\/p>\n\n\n\n

Retail advertising platforms may consider auction conditions, campaign targeting, budget, inventory, cookies, account state, session information, time, and many other signals.<\/p>\n\n\n\n

IP geography is only one variable.<\/p>\n\n\n\n

The proxy’s role is narrower and technically clearer: it allows the monitoring application to control the geographic network exit of its own request.<\/p>\n\n\n\n

For regional ad verification, that capability is valuable because it prevents every observation from being tied to the physical or cloud location of the monitoring server.<\/p>\n\n\n\n

2. Reduce Single-IP Bias in Large Monitoring Jobs<\/h2>\n\n\n\n

Geographic targeting is not the only reason to introduce a proxy layer.<\/p>\n\n\n\n

Scale matters too.<\/p>\n\n\n\n

Suppose a retail media monitoring system checks:<\/p>\n\n\n\n

100 keywords \u00d7 10 markets \u00d7 4 observation windows per day.<\/p>\n\n\n\n

That already creates 4,000 scheduled observations before additional retailers or products are included.<\/p>\n\n\n\n

If all of those jobs originate from one server IP, the system has effectively built a distributed advertising research platform on top of a single network identity.<\/p>\n\n\n\n

That is poor infrastructure design.<\/p>\n\n\n\n

A residential proxy pool allows independent monitoring jobs to be distributed across multiple network routes where appropriate.<\/p>\n\n\n\n

The goal should not be aggressive IP switching for its own sake.<\/p>\n\n\n\n

Instead, the routing strategy should follow the structure of the workload.<\/p>\n\n\n\n

Independent observations can use separate proxy sessions, while related requests can retain a stable identity.<\/p>\n\n\n\n

This creates a much cleaner model:<\/p>\n\n\n\n

Job \u2192 Market \u2192 Proxy Route \u2192 Observation<\/strong><\/p>\n\n\n\n

rather than:<\/p>\n\n\n\n

Thousands of Jobs \u2192 One IP \u2192 Everything<\/strong><\/p>\n\n\n\n

The proxy pool therefore becomes a resource that the scheduler manages.<\/p>\n\n\n\n

This is especially useful when the same monitoring infrastructure handles multiple retailers, markets, keywords, and scheduled collection windows.<\/p>\n\n\n\n

3. Use Sticky Proxy Sessions for Complete Ad Verification Journeys<\/h2>\n\n\n\n

Not every request should rotate to a new IP.<\/p>\n\n\n\n

Some retail media verification tasks contain several related steps.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Retail Search \u2192 Sponsored Product \u2192 Product Page<\/strong><\/p>\n\n\n\n

If the search request uses one residential IP and the product-page request immediately switches to another unrelated IP, the monitoring system may introduce unnecessary network inconsistency into its own test.<\/p>\n\n\n\n

A sticky proxy session can be more appropriate.<\/p>\n\n\n\n

The monitoring worker obtains a residential route and keeps the same proxy session for the related requests.<\/p>\n\n\n\n

It searches the permitted public retail page, records the sponsored placement, follows the expected public destination where appropriate, and verifies the product page while retaining the same network identity.<\/p>\n\n\n\n

After that verification journey is complete, the session can be released or replaced according to the application’s proxy strategy.<\/p>\n\n\n\n

This is an important distinction between proxy rotation<\/strong> and session management<\/strong>.<\/p>\n\n\n\n

Rotation is useful when jobs should receive independent network identities.<\/p>\n\n\n\n

Sticky sessions are useful when several requests belong to the same observation.<\/p>\n\n\n\n

A professional Retail Media Proxy implementation often needs both.<\/p>\n\n\n\n

The scheduler decides when a new session begins\u2014not simply \u201crotate the IP on every request.\u201d<\/p>\n\n\n\n

4. Keep Proxy Location Consistent Throughout Each Regional Test<\/h2>\n\n\n\n

A large proxy pool is useful only if the application knows what location it requested.<\/p>\n\n\n\n

Consider a monitoring job intended to verify an advertisement in Japan.<\/p>\n\n\n\n

If the first request uses a Japan residential route, the next request unexpectedly uses the United States, and another uses Germany, the final observation no longer represents one coherent geographic test.<\/p>\n\n\n\n

This is why regional monitoring should attach location requirements to the job itself.<\/p>\n\n\n\n

Conceptually, a job can carry:<\/p>\n\n\n\n

Target Market: Japan<\/strong><\/p>\n\n\n\n

Proxy Region: Japan<\/strong><\/p>\n\n\n\n

Session: Persistent for this observation<\/strong><\/p>\n\n\n\n

Exit IP: Verified<\/strong><\/p>\n\n\n\n

Observation: Recorded<\/strong><\/p>\n\n\n\n

If the worker cannot obtain a route matching the required configuration, the job should be retried or marked as a network-routing failure rather than silently executed from an unrelated location.<\/p>\n\n\n\n

This prevents contaminated data from entering the analytics system.<\/p>\n\n\n\n

The same principle applies when comparing several markets.<\/p>\n\n\n\n

US observations should remain in the US observation group.<\/p>\n\n\n\n

Japan observations should remain in the Japan group.<\/p>\n\n\n\n

Germany observations should remain in the Germany group.<\/p>\n\n\n\n

Proxy geography becomes part of the experiment definition.<\/p>\n\n\n\n

This is much more reliable than randomly rotating through a global proxy pool and attempting to interpret the results afterward.<\/p>\n\n\n\n

5. Verify the Exit IP Before Trusting an Ad Observation<\/h2>\n\n\n\n

Proxy authentication success does not prove that the entire monitoring environment is correct.<\/p>\n\n\n\n

Before a worker begins a geographic retail media job, it can verify its network route using an approved IP-check endpoint.<\/p>\n\n\n\n

The health check should confirm several things:<\/p>\n\n\n\n

    \n
  • the proxy gateway is reachable;<\/li>\n\n\n\n
  • credentials are accepted;<\/li>\n\n\n\n
  • the request successfully exits through the proxy;<\/li>\n\n\n\n
  • the observed IP is available for logging;<\/li>\n\n\n\n
  • the route is consistent with the intended geographic configuration;<\/li>\n\n\n\n
  • latency remains within the monitoring system’s acceptable threshold.<\/li>\n<\/ul>\n\n\n\n

    Only after those checks succeed should the worker begin its retail observation.<\/p>\n\n\n\n

    This creates an important separation between network validation<\/strong> and advertising validation<\/strong>.<\/p>\n\n\n\n

    Imagine that a scheduled US advertisement check fails.<\/p>\n\n\n\n

    Without proxy monitoring, the system might simply report:<\/p>\n\n\n\n

    \n

    Sponsored product not observed.<\/p>\n<\/blockquote>\n\n\n\n

    But perhaps the real problem was:<\/p>\n\n\n\n

    \n

    Proxy authentication failed.<\/p>\n<\/blockquote>\n\n\n\n

    Or:<\/p>\n\n\n\n

    \n

    Network request timed out before the retail page loaded.<\/p>\n<\/blockquote>\n\n\n\n

    Or:<\/p>\n\n\n\n

    \n

    The worker did not receive the intended geographic route.<\/p>\n<\/blockquote>\n\n\n\n

    Those are infrastructure failures, not advertising observations.<\/p>\n\n\n\n

    A reliable Retail Media Proxy system should never convert network failures into marketing conclusions.<\/p>\n\n\n\n

    That is why exit-IP validation and proxy health checking belong directly in the monitoring architecture.<\/p>\n\n\n\n

    6. Separate Proxy Failures from Retail Platform Results<\/h2>\n\n\n\n

    At scale, proxy-based systems need useful failure classification.<\/p>\n\n\n\n

    A request can fail before it reaches the destination, during the destination request, or after a valid response has already been received.<\/p>\n\n\n\n

    Treating every failure as \u201cproxy not working\u201d makes troubleshooting difficult.<\/p>\n\n\n\n

    Likewise, treating every failed request as \u201cadvertisement unavailable\u201d damages the dataset.<\/p>\n\n\n\n

    A monitoring system should separate at least three layers.<\/p>\n\n\n\n

    Proxy Layer<\/strong><\/p>\n\n\n\n

    This includes gateway connection problems, authentication errors, unavailable routes, and proxy-level timeouts.<\/p>\n\n\n\n

    HTTP \/ Destination Layer<\/strong><\/p>\n\n\n\n

    This includes destination status codes, redirects, connection behavior, and other retailer-side responses.<\/p>\n\n\n\n

    Observation Layer<\/strong><\/p>\n\n\n\n

    This determines whether the required sponsored placement was actually observed in a successfully retrieved page.<\/p>\n\n\n\n

    The distinction matters because only the third category should contribute directly to advertising observations.<\/p>\n\n\n\n

    For example:<\/p>\n\n\n\n

    \n

    Proxy timeout \u2192 infrastructure failure.<\/p>\n<\/blockquote>\n\n\n\n

    \n

    Successful request, but page cannot be processed \u2192 collection failure.<\/p>\n<\/blockquote>\n\n\n\n

    \n

    Successful page observation, sponsored product not present \u2192 valid \u201cnot observed\u201d sample.<\/p>\n<\/blockquote>\n\n\n\n

    These three outcomes should never be stored as the same result.<\/p>\n\n\n\n

    A proxy provider supplies network infrastructure, but the monitoring application is responsible for understanding how that infrastructure behaved during each job.<\/p>\n\n\n\n

    Clear failure classification prevents network instability from distorting retail media analytics.<\/p>\n\n\n\n

    7. Scale Retail Media Monitoring with a Regional Proxy Pool<\/h2>\n\n\n\n

    The final use case is where proxy infrastructure becomes particularly valuable: scaling from occasional manual checks to distributed monitoring.<\/p>\n\n\n\n

    Consider a larger verification program covering:<\/p>\n\n\n\n

    20 markets, 200 keywords, multiple retailers, and several scheduled observation windows.<\/p>\n\n\n\n

    At that point, the system is no longer performing isolated searches.<\/p>\n\n\n\n

    It is operating a network of regional observation workers.<\/p>\n\n\n\n

    A proxy pool can provide the network layer for those workers.<\/p>\n\n\n\n

    The scheduler can assign each job according to target geography and session requirements.<\/p>\n\n\n\n

    For example:<\/p>\n\n\n\n

    US Jobs \u2192 US Residential Pool<\/strong><\/p>\n\n\n\n

    Japan Jobs \u2192 Japan Residential Pool<\/strong><\/p>\n\n\n\n

    Germany Jobs \u2192 Germany Residential Pool<\/strong><\/p>\n\n\n\n

    Each worker verifies its route, performs the required observation, stores the result, and releases or retains its session according to the workload.<\/p>\n\n\n\n

    This design also makes capacity planning easier.<\/p>\n\n\n\n

    Instead of thinking only about the number of IP addresses available, the system can measure operational metrics such as successful proxy connections, usable regional routes, request latency, completed observations, proxy-related failures, and destination-related failures.<\/p>\n\n\n\n

    Those measurements are much more meaningful than simply advertising a large proxy pool.<\/p>\n\n\n\n

    For retail media verification, what matters is whether the network can reliably deliver the geographic observations required by the monitoring workload.<\/p>\n\n\n\n

    Rotating vs. Sticky Residential Proxies for Retail Media<\/h2>\n\n\n\n

    The correct proxy strategy depends on the unit of work.<\/p>\n\n\n\n

    Verification Workload<\/th>Recommended Approach<\/th><\/tr><\/thead>
    Independent keyword observations<\/td>Rotating sessions may be appropriate<\/td><\/tr>
    Search \u2192 Sponsored Product \u2192 Product Page<\/td>Sticky session<\/td><\/tr>
    Country comparison<\/td>Region-specific proxy routing<\/td><\/tr>
    Long monitoring run<\/td>Managed proxy pool with health checks<\/td><\/tr>
    Failed route<\/td>Replace route and retry according to policy<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    The important principle is not to maximize rotation.<\/p>\n\n\n\n

    It is to maintain the network behavior required by the observation.<\/p>\n\n\n\n

    Excessive rotation can be just as problematic as never rotating.<\/p>\n\n\n\n

    If several HTTP requests represent one logical verification journey, keeping them on the same session can produce cleaner network consistency.<\/p>\n\n\n\n

    When the next independent observation begins, a new session can be assigned if appropriate.<\/p>\n\n\n\n

    Where ColaProxy Fits in Retail Media Monitoring<\/h2>\n\n\n\n

    ColaProxy can provide the residential proxy layer for compatible retail media monitoring systems.<\/p>\n\n\n\n

    A verification application can obtain the required proxy configuration from the ColaProxy dashboard and use the available geographic and session settings according to its monitoring methodology.<\/p>\n\n\n\n

    A typical integration follows a straightforward sequence:<\/p>\n\n\n\n

    Select Target Market \u2192 Configure Residential Proxy \u2192 Establish Session \u2192 Verify Exit IP \u2192 Run Retail Observation \u2192 Record Network Metadata \u2192 Complete Job<\/strong><\/p>\n\n\n\n

    This keeps ColaProxy focused on what proxy infrastructure actually controls.<\/p>\n\n\n\n

    It provides the network route used by the monitoring client.<\/p>\n\n\n\n

    It does not determine which sponsored advertisement a retailer serves, guarantee an advertising auction outcome, or reproduce every individual shopper’s experience.<\/p>\n\n\n\n

    That distinction makes proxy-based verification more credible.<\/p>\n\n\n\n

    For large monitoring workloads, the application can combine geographic routing, rotating sessions, sticky sessions, proxy health checks, and retry policies to create a distributed network of retail observation points.<\/p>\n\n\n\n

    What a Good Retail Media Proxy Dataset Should Record<\/h2>\n\n\n\n

    Proxy metadata should not disappear after a request succeeds.<\/p>\n\n\n\n

    If geographic routing matters to the research methodology, enough information should be retained to understand how the observation was produced.<\/p>\n\n\n\n

    A practical record might contain:<\/p>\n\n\n\n

    Network Context<\/th>Observation Context<\/th><\/tr><\/thead>
    Requested proxy country<\/td>Retailer<\/td><\/tr>
    Session identifier<\/td>Keyword<\/td><\/tr>
    Exit IP verification status<\/td>Sponsored product observed<\/td><\/tr>
    Proxy latency<\/td>Observed position<\/td><\/tr>
    Network result<\/td>Observation timestamp<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Sensitive proxy credentials should never be stored in analytics records.<\/p>\n\n\n\n

    The objective is provenance, not credential logging.<\/p>\n\n\n\n

    With this structure, analysts can later distinguish a genuine advertising observation from a failed or incorrectly routed network request.<\/p>\n\n\n\n

    Residential Proxies Are an Observation Layer, Not an Ad-Targeting Shortcut<\/h2>\n\n\n\n

    One limitation deserves particular emphasis.<\/p>\n\n\n\n

    Using a residential IP in a target country does not guarantee that the monitoring system will reproduce exactly what a real consumer sees.<\/p>\n\n\n\n

    Retail and advertising platforms can use many signals beyond IP geography.<\/p>\n\n\n\n

    Therefore, residential proxies should be treated as network observation infrastructure<\/strong>, not as a way to guarantee a particular advertisement.<\/p>\n\n\n\n

    This also changes how results should be reported.<\/p>\n\n\n\n

    A monitoring platform can reasonably say:<\/p>\n\n\n\n

    \n

    \u201cThe sponsored product was observed in 21 of 30 successfully completed US residential-proxy samples.\u201d<\/p>\n<\/blockquote>\n\n\n\n

    It should be much more careful about claiming:<\/p>\n\n\n\n

    \n

    \u201c70% of US shoppers saw the advertisement.\u201d<\/p>\n<\/blockquote>\n\n\n\n

    The second statement requires evidence that proxy observations alone cannot provide.<\/p>\n\n\n\n

    Keeping this distinction clear makes the resulting data more useful rather than less useful.<\/p>\n\n\n\n

    Responsible Proxy-Based Ad Verification<\/h2>\n\n\n\n

    Retail media monitoring should be limited to authorized and permitted activities and should respect applicable laws, website terms, authentication boundaries, and reasonable request rates.<\/p>\n\n\n\n

    Proxy rotation should not be used as a substitute for responsible request scheduling.<\/p>\n\n\n\n

    A well-designed monitoring system can reduce unnecessary traffic through caching, controlled sampling intervals, deduplication, and sensible retry limits.<\/p>\n\n\n\n

    The purpose of proxy infrastructure should be to provide reliable network routing for legitimate regional observations\u2014not to generate the maximum possible number of requests.<\/p>\n\n\n\n

    Conclusion<\/h2>\n\n\n\n

    Retail Media Proxy<\/strong> infrastructure solves a network problem inside advertising verification: how to perform distributed retail observations without tying every request to one server IP and one geographic network location.<\/p>\n\n\n\n

    Residential proxies can provide region-specific exit points, distribute independent monitoring jobs, maintain sticky sessions for related requests, preserve geographic consistency, and give monitoring systems a way to validate the network route behind each observation.<\/p>\n\n\n\n

    They also make failure handling more precise.<\/p>\n\n\n\n

    A proxy timeout should be recorded as a network failure.<\/p>\n\n\n\n

    A destination error should be recorded separately.<\/p>\n\n\n\n

    Only a successfully completed retail observation should be used to determine whether a sponsored product was observed.<\/p>\n\n\n\n

    This separation becomes increasingly important as monitoring expands from a handful of manual checks to thousands of scheduled observations across multiple markets.<\/p>\n\n\n\n

    The strongest Retail Media Proxy architecture therefore does not ask proxies to control advertising outcomes.<\/p>\n\n\n\n

    It uses residential proxy infrastructure to build reliable, geographically distributed, and measurable observation points<\/strong>.<\/p>\n\n\n\n

    That is where proxies provide real value to retail media verification.<\/p>\n\n\n\n

    FAQ<\/h2>\n\n\n\n

    What is a Retail Media Proxy?<\/h3>\n\n\n\n

    A Retail Media Proxy is proxy infrastructure used as the network layer of a retail advertising monitoring system. Residential proxies can provide geographic exit locations and separate network sessions for distributed observations.<\/p>\n\n\n\n

    Why are residential proxies useful for retail media monitoring?<\/h3>\n\n\n\n

    They allow monitoring jobs to use different residential network exit points rather than sending every observation through one server IP. This is particularly useful for geographically distributed verification.<\/p>\n\n\n\n

    Can a residential proxy guarantee that a sponsored ad appears?<\/h3>\n\n\n\n

    No. A proxy controls the network route. Advertising delivery can depend on auctions, targeting, budgets, inventory, user context, and many other variables.<\/p>\n\n\n\n

    Should retail media monitoring use rotating proxies?<\/h3>\n\n\n\n

    Rotating sessions can be useful for independent observations, but rotation should follow the workload. Related requests may benefit from a sticky session instead.<\/p>\n\n\n\n

    Why use sticky proxies for ad verification?<\/h3>\n\n\n\n

    A sticky session can keep the same network identity during a related sequence such as retail search \u2192 sponsored product \u2192 destination page.<\/p>\n\n\n\n

    Why should a monitoring system verify the proxy exit IP?<\/h3>\n\n\n\n

    Exit-IP verification confirms that the monitoring worker is using the intended proxy route before its result is accepted as a geographic observation.<\/p>\n\n\n\n

    Can ColaProxy be used for retail media monitoring?<\/h3>\n\n\n\n

    ColaProxy can provide the residential proxy network layer for compatible and authorized monitoring workflows, including geographic routing and session-based requests according to the configuration available in the dashboard.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Retail Media Proxy infrastructure gives ad verification systems a way to observe public retail advertising from multiple network locations instead of relying on a single server IP. For brands monitori\u2026<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-2049","post","type-post","status-publish","format-standard","hentry","category-proxy"],"_links":{"self":[{"href":"\/blog\/wp-json\/wp\/v2\/posts\/2049","targetHints":{"allow":["GET"]}}],"collection":[{"href":"\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"\/blog\/wp-json\/wp\/v2\/comments?post=2049"}],"version-history":[{"count":1,"href":"\/blog\/wp-json\/wp\/v2\/posts\/2049\/revisions"}],"predecessor-version":[{"id":2050,"href":"\/blog\/wp-json\/wp\/v2\/posts\/2049\/revisions\/2050"}],"wp:attachment":[{"href":"\/blog\/wp-json\/wp\/v2\/media?parent=2049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/blog\/wp-json\/wp\/v2\/categories?post=2049"},{"taxonomy":"post_tag","embeddable":true,"href":"\/blog\/wp-json\/wp\/v2\/tags?post=2049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}