One of the industry's most persistent misconceptions is that accountability lives downstream. Better reporting. Better attribution. Better dashboards. But, in reality, accountability begins far earlier, at the point where a business decides what it accepts as truth about identity. Who is real? Who is reachable? Who is persistent? Who has changed? Who should not be acted on at all? The uncomfortable reality is that every optimization decision that follows is only as credible as the answers to those questions.
The campaign can look busy on the surface. Views are high, comments are positive, and the creators are asking when the next deal is coming. Then the CFO asks one question: what did we get back in revenue, and how do you know it came from this spend? When the answer leans on Earned Media Value (EMV) only, engagement rate, or brand awareness, the conversation usually ends with budget pressure.
GitHub engineers recently traced user reports of unexpected "Too Many Requests" errors to abuse-mitigation rules that had accidentally remained active long after the incidents that prompted them. According to GitHub, the affected users were not generating high-volume traffic; they were "making a handful of normal requests" that still tripped protections. The investigation found that older incident rules were based on traffic patterns that were strongly associated with abuse at the time, but later began matching some legitimate, logged-out requests.
Attribution should be a priority for marketers, but if the "it ain't broke don't fix it' attitude holds true for many, then this is a huge opportunity missed to improve marketing performance. In today's world there are many useful data sources that can shape marketing and improve efficiencies. The problem facing brands is how to connect this data in a way that sheds light on customer behaviour and purchasing, and reveals the role that individual marketing activity has played in the journey.
For the past three decades, most of digital advertising has revolved around one obsession: performance. Marketers leaned on channels that could prove conversions: search ads, programmatic retargeting and affiliate links. A purchase trackable to a click was gold. Multi-touch attribution (MTA) models thrived. Conversely, brand-building was often dismissed as harder to justify next to the cold precision of ROAS spreadsheets.
Those tools are also expanding as they gather and model more prompt data, so that companies can see their AI visibility in Google's AI Overviews and AI Mode. That's a big deal. Previously, publishers and brands have been largely flying blind when it came to AI-driven discovery but now they are getting rare visibility into a part of AI search that has largely operated as a black box.
In a blog post, the Wikimedia Foundation, the organization that runs the popular online encyclopedia, called on AI developers to use its content "responsibly" by ensuring its contributions are properly attributed and that content is accessed through its paid product, the Wikimedia Enterprise platform. The opt-in, paid product allows companies to use Wikipedia's content at scale without "severely taxing Wikipedia's servers," the Wikimedia Foundation blog post explains.
Martech debt builds up through manual reporting, fragile integrations, and silos. These issues fragment customer data, break campaign attribution, and force teams to rely on shadow spreadsheets to fill gaps between platforms. Current maturity models focus on technology adoption (hello AI!) rather than business outcomes. This misses the structural shift required to escape this cycle. Semrush Enterprise evaluates maturity across five interconnected pillars: Progress means moving from patchwork operations to a unified engine where insight, execution, and impact connect and scale together for strategic effect.
But I managed to access my inner professional by simply showing curiosity and asking, "What story are you telling yourself about why he is doubling his efforts to help out?" She replied, "It makes me think that he feels I'm incompetent and that he can do it better than me. I think it's his job to support our family, and mine is to be responsible for all things related to our home."
We built funnels, tracked clicks and optimized journeys because we could seewhat was happening. We optimized for the "messy middle": customer journeys we can track on the open web. The premise that we can see it all, track it all is obsolete. The customer journey has migrated to closed AI environments, leaving our analytics stacks blind. The causal link between action and result has evaporated.
Traditional marketing metrics can tell you what happened last month, but they're like my tarot cards when predicting the future-confusing, vague, and not always accurate. Fortunately, some marketing KPIs predict future growth, and the companies achieving 10x revenue growth have figured out which ones matter. In this deep dive, I'll share the 10 marketing KPIs that leading subscription businesses use to predict and scale revenue growth.
The notorious Scattered Spider hacking collective behind cyber attacks on Marks & Spencer and others is likely leaning on the expertise of other cyber criminals to enhance the severity of its attacks and the volume of its victims, according to NCC Group's Threat pulse report for August 2025. The gang's attacks this year appear to herald a threat landscape in which collaboration is increasingly the watchword among cyber criminals.
For a long time, marketers have gotten away with flying blind. Campaigns have been run on a patchwork of incomplete inputs across various platforms, missing key fields and rarely aligned goals. Brands didn't question performance. As long as the top line and bottom line were fine, who cares how clean the data was? The consequence? Multimillion-dollar decisions were made based on the wrong data. Siloed teams were operating on different definitions of success. Media and measurement stacks didn't speak the same language.
The Advanced SRN integration between AppsFlyer and X Ads uses two complementary methods of attribution. When users make their device IDs available on both the advertiser's app and on the X app, AppsFlyer uses deterministic attribution through device ID matching, which accounts for approximately 25% of iOS traffic.
"The games industry, and particularly the mobile space, is constantly evolving to match the everchanging needs and desires of players and their demands," said Appcharge CEO Maor Sason.
Metaâs new feature for Verified subscribers includes a "Request original credit" toggle for Reels, promoting proper attribution by linking reposts back to the original creator.
