Featured · Salesforce Ben
Marketing Cloud Data Views: 10 Data Views You Should Know
A tour of the system data views behind Marketing Cloud's tracking — what each one holds, and the reporting questions each can actually answer.
Writing
I write when something takes me longer to figure out than it should have. Some of these were published elsewhere — Salesforce Ben, Medium, SFMC Stack — and link out to the original.
Series
Short notes grouped by topic — setup, data and consent, segments, automation, and the AI settings — in ordinary language.
Docs · always current
A living reference, tab by tab — what each tab does and what's in its settings. Checked against every new release.
Featured · Salesforce Ben
A tour of the system data views behind Marketing Cloud's tracking — what each one holds, and the reporting questions each can actually answer.
Send time optimisation, metrics guard, engagement scoring and frequency — what each does and which edition has it.
Next-gen campaigns hold assets, automations and journeys together — and an agent will draft the brief and the copy if you let it.
A short note on the Summer '26 Marketing Cloud Next changes worth an architect's attention, and how I read release notes generally.
When a record change should just send the message — and how to keep those small automations from multiplying.
Two automation tools, one platform. A simple way to decide which owns a given piece of logic.
Segment Creation drafts an audience from a prompt. Useful as a starting point, not as an approval.
How audience building works on unified Data 360 data, and what an Engagement person has to unlearn.
A short note for Engagement architects on which Journey Builder instincts survive the move to Flow, and which ones mislead you.
Consent moves from Engagement's subscription model to platform consent records and Privacy Center — what that changes in practice.
What a data kit installs, why the marketing kit is a prerequisite for reporting, and what to check after installation.
The sequence Marketing Cloud Next setup actually wants: admins and permissions, enablement, data kits, identity resolution, email, reporting.
A short note on moving from batch sends to flows that start the moment something happens — and what that demands of your data.
A plain-language description of Marketing Cloud Next, how it relates to Marketing Cloud Engagement, and what the names mean.
A short note on how segmentation works in Marketing Cloud Next, and the habits from Engagement that no longer apply.
What to confirm before committing to a first Marketing Cloud Next project — data foundation, identity, channel scope, and team skills.
Where consent lives in each Marketing Cloud product, and how to end up with one answer instead of three.
How match rules and reconciliation rules differ, what a unified individual really is, and how to test the ruleset before trusting it.
Collection options for on-site behaviour, the latency each one really gives you, and what each pattern costs to run.
The first week in somebody else's Marketing Cloud account, in the order I actually do it.
Auditing where contacts come from in Marketing Cloud, and which ones should never have been created in the first place.
Retention windows, what the tracking data views do and don't contain, and where reporting quietly drifts away from reality.
Authentication, retries, idempotency and error surfaces — and what each Marketing Cloud API is genuinely good at.
Where each language is the right tool inside Marketing Cloud, what each costs you in readability, and how to stop them tangling.
Why a contact didn't enter a journey, what re-entry modes actually do, and the difference between an entry event and an entry filter.
Salesforce Ben
A tour of the system data views behind Marketing Cloud's tracking — what each one holds, and the reporting questions each can actually answer.
Medium
Why data management and privacy decisions in Marketing Cloud are architecture decisions, not an afterthought bolted on before go-live.
Medium
Practical habits that keep a Marketing Cloud implementation maintainable after the launch team moves on.
SFMC Stack
The recurring obstacles in Marketing Cloud implementations — data, integration, and expectation shaped — and how to get around them.
New long-form pieces land here roughly every month or two.