# Kristen Bedell

Kristen Bedell writes about marketing analytics, measurement, and attribution, including how businesses can maintain tracking, interpret differences between reporting platforms, and account for fragmented customer journeys.

- Profile: https://b2binfluencer.marketing/creators/kristen-bedell/
- LinkedIn: https://www.linkedin.com/in/kristen-bedell-81032b162
- Topics: marketing-attribution
- Based on 12 dated posts, latest 2026-10-07

## Summary

Kristen Bedell is most useful for thought leadership on marketing analytics, attribution, and Google Tag Manager governance.

- Best for: A B2B marketing analytics consultancy running a thought-leadership partnership on GTM governance and attribution measurement.
- Not for: A tag-management or martech vendor launch needing implementation walkthroughs, named customer results, or reach commitments.
- Check first: Confirm partnership formats and request recent LinkedIn audience analytics and role verification.

### Takeaways

- Attribution feels less certain because buying behavior has scattered, not because measurement broke.
- GA4, ad platforms and CRM report different numbers because they measure different things.
- Vendor changes prompt review of Google Tag Manager access, publishing rights, and ownership.

## Main ideas

- **Attribution feels less certain because buying behavior has scattered, not because measurement broke**: Bedell argues that attribution feels uncertain because customer journeys no longer follow one measurable path. Influence happens on podcasts, social posts, forums and search well before any trackable visit, so the converting session gets recorded while the things that caused it do not. Attribution data is not useless, but it should be read differently when making decisions. A later post sharpens the point: years of platform marketing set an expectation of near-perfect precision, but a harder-to-interpret number is not by itself evidence that something is faulty.
- **GA4, ad platforms and CRM report different numbers because they measure different things**: Bedell challenges the assumption that reporting platforms should produce nearly identical figures. Each system covers a different part of the customer journey for a different purpose: GA4 concentrates on on-site behavior, ad platforms on campaign interactions and optimization, and CRM systems on leads and revenue progression. The numbers overlap, but the systems were never designed to produce identical reports. Bedell gives reading across platforms the same priority as technical implementation.
- **Analytics work continues after the project that created it**: Bedell distinguishes analytics projects a business can scope and budget for — a GA4 implementation, a website redesign, a new CRM, a reporting project — from the measurement work that follows. Over a year, sites and campaigns change without anyone weighing the effect on tracking, and the data can become less reliable without anyone noticing right away. Continued attention surfaces problems earlier and allows adjustments as the business changes. Analytics, they argue, is upkeep tied to how a company evolves, not a one-off project.
- **Who still has publishing rights in the tag container**: Bedell’s most concrete position concerns Google Tag Manager governance. It is normal for a paid media agency, a developer and a technology vendor to hold access to the same container at once. The problem is not granting access but remembering to revisit it: containers stay in place for years while the partners around them change. Ex-partners can retain publishing permissions that once made sense, and ownership can become unclear when a partner originally created the container. Bedell recommends reviewing access during vendor and agency transitions, using four practical questions.

## Work to read

- [Attribution is getting harder to interpret—and that doesn’t mean it’s broken](https://www.linkedin.com/posts/kristen-bedell-81032b162_the-shift-happening-in-marketing-attribution-activity-7465054196493492224-iGGE)
- [A customer journey with no single measurable path](https://www.linkedin.com/posts/kristen-bedell-81032b162_one-reason-marketing-attribution-feels-less-activity-7465778917627555840-EKaM)
- [Why GA4, Google Ads, and CRM platforms report different numbers](https://www.linkedin.com/posts/kristen-bedell-81032b162_a-lot-of-businesses-assume-reporting-platforms-activity-7467590855898533888-0bwB)
- [The analytics work that never makes it into the project budget](https://www.linkedin.com/posts/kristen-bedell-81032b162_most-analytics-budgets-are-built-around-work-activity-7498394021367586816-hds4)
- [When to review Google Tag Manager access](https://www.linkedin.com/posts/kristen-bedell-81032b162_its-completely-normal-for-more-than-one-activity-7511077856035287040-3dIU)

## Partnerships

None of the five posts advertise a sponsorship offer, media kit, or rate card, so they don’t establish available partnership formats. They do show a consistent editorial focus that a prospective partner could pitch around: keeping analytics and tracking reliable as a business changes, treating differences between GA4, ad platform, and CRM numbers as a measurement-design issue rather than an error, and rethinking attribution as customer journeys fragment. The Google Tag Manager post, about who retains publishing access after agency and vendor transitions, is the most operational and offers the clearest stated pain point for a potential collaboration. Ask for partnership options and contact details.

## Alternatives

- Tom Casano: Casano is the stronger choice when the partnership centres on paid-social execution and defending a channel's influence, rather than the client's measurement plumbing. Both posts focus on LinkedIn Ads. One argues that sending mobile users to a website is the setup mistake, then walks through lead-gen forms, funnel friction and the resulting cost-per-lead arithmetic. The other argues that last-touch attribution cannot capture a nine-month, seven-stakeholder deal, and points instead to influenced pipeline, influenced revenue and third-party tools that match closed deals back to ad exposure. If the consultancy wants a partner who speaks to demand-gen teams in the language of campaign objectives, conversion rates and CPL—and is comfortable naming platforms and products—Casano's material is a closer fit than Bedell's principle-level posts.
- Will O'Brien: O'Brien is the stronger choice when the sharper story is over-attribution and the newer discovery layer. One post works through the affiliate case in detail: a 12x blended ROAS that an incrementality test put within a margin of error, the mechanics of last-click credit and self-reported network attribution, and the claim that brands that re-measured found 20% to 50% of affiliate spend was not incremental. The other covers AI as an unmeasured discovery surface—answers that pass no referring URL, direct traffic as where that demand lands, and branded search as a downstream signal of AI visibility. A consultancy selling incrementality testing or AI visibility audits would have a more argumentative spine to build on than Kristen Bedell's interpretation-first posts.
- Md Kamrul Islam Akash: Akash is the stronger choice when the deliverable needs instructional, step-by-step material rather than positioning. One post separates traffic-source reporting from revenue attribution with a worked budget scenario and three checks for tracing a conversion back to a campaign. The other lays out a five-step Google Ads conversion-tracking setup with a pre-launch test, three common breakages and a monthly audit list; both close by asking the reader a question. If the consultancy wants a partner who publishes checklists and process prompts—closer to a workshop handout than an essay—this is the nearest match among the three.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/