Unpopular opinion: LinkedIn's Campaign Manager is still worse than it was 5 years ago.

I’ve spent the last several weeks conducting a comprehensive vendor evaluation for a client’s B2B demand generation program, which necessitated a deep dive into the current state of LinkedIn’s Campaign Manager. My conclusion, substantiated by a direct comparison against our historical performance data and contractual SLAs from 2019, is that the platform has undergone a regression in several critical, user-facing dimensions. This is not mere nostalgia; it’s an observation of degraded functionality and increased opacity.

My primary areas of concern, backed by specific examples, are as follows:

* **Reporting Granularity & Export Functionality:** The move to "lifted" metrics (e.g., "Total Engagements" as a primary KPI) and the obfuscation of fundamental data points is a significant step backward. Five years ago, one could easily export a time-series report of daily clicks, impressions, and spend per campaign. Now, deriving a simple daily spend trend requires convoluted report building, and many actionable data points are simply unavailable via the UI or standard API endpoints. This directly impacts TCO by increasing analyst time for basic monitoring.
* **Audience Management Interface:** The introduction of "Audience Attributes" and the overhaul of the Matched Audiences experience has added complexity without clarity. The process for building and saving a rule-based audience (e.g., Job Function + Seniority + Company Size) is now buried under multiple modal windows and suffers from persistent latency. The previous interface, while not perfect, was more direct and reliable.
* **Bid Management & Campaign Launch Workflow:** The platform's attempt to "simplify" bidding strategies has had the opposite effect. Manual bidding, a necessity for many high-consideration B2B campaigns, feels like an afterthought. Furthermore, the campaign launch flow is now laden with redundant "tips" and "recommendations" that serve more as promotional nudges for LinkedIn's own suggestions than as genuine aids, slowing down experienced practitioners.
* **Platform Stability & Load Times:** This is anecdotal but widely corroborated by peers: page load times within the manager, especially within the reporting and audience sections, are noticeably slower than they were half a decade ago. For a premium platform with premium pricing, this is unacceptable from a pure efficiency standpoint.

From an enterprise architecture and compliance perspective, the regression is also troubling. The lack of transparent, granular data export complicates data warehousing and governance workflows. The platform's evolution seems driven by a desire to push users toward automated, "black-box" solutions, which conflicts with the needs of organizations requiring detailed audit trails and clear understanding of algorithmic decision-making for their paid media spend.

I am left to question what we are paying for. The cost per thousand impressions (CPM) on LinkedIn has consistently risen over this five-year period, while the tooling for managing and optimizing those impressions has, in my analysis, become less powerful and more cumbersome. Has anyone else conducted a similar longitudinal analysis, particularly from a TCO or contractual standpoint? I am particularly interested in evidence that contradicts this assessment.