How Bloomreach Turned Hours of Manual PPC Work Into a Three-Click Workflow with Adzviser

"Adzviser is probably one of my biggest time savers on a week-to-week basis."

— James Flitcroft, Senior Growth Marketing Manager at Bloomreach

James Flitcroft is a Senior Growth Marketing Manager at Bloomreach, where he leads paid media globally across markets including North America and APAC.

His remit spans virtually every major advertising platform Bloomreach uses.

"Google Ads, Microsoft Ads, LinkedIn Ads, Meta Ads, Reddit Ads—anything with Ads after it pretty much falls under my remit."

Managing advertising at that scale means working with data spread across platforms, accounts, currencies, and regions. Before Adzviser, bringing that data together required a lot of manual work.

The Challenge: "In a Word, Manually"

When asked how he pulled together cross-channel advertising data before Adzviser, James had a simple answer:

"In a word, manually."

Much of the process relied on advertising platforms alongside CRM systems such as HubSpot and Salesforce.

Tracking was heavily UTM-based. James would export CSVs, use VLOOKUPs to match leads and opportunities, and cross-reference advertising IDs.

Operating across global markets created another challenge: currency. Different accounts and networks could report in different currencies, meaning exchange rates and currencies also had to be manually adjusted.

James summed up the old workflow as:

"Basically very manual, very time consuming, and a bit of a pain really."

The problem was not only the time spent creating reports. A significant amount of work had to happen before the data was even ready to analyze.

Turning Search Term Management Into a Three-Click Workflow

Today, James uses Adzviser as part of his paid media workflows, including through Claude.

"I have the API plugged into Claude, and I have it plugged in everywhere I can have it plugged in, basically."

One workflow in particular has become his biggest time saver: search term management.

Bloomreach spends significantly on paid search, and like many advertisers, its accounts can become inundated with irrelevant search terms. Reviewing those manually can be tedious.

James described the traditional process:

"Exclude, add, next page. Exclude, add, next page."

With Adzviser, search terms are pulled from Bloomreach's advertising accounts and cross-referenced against information such as its products and brand guidelines.

The workflow returns a CSV that James can upload into the editor to make bulk changes. And it runs on a daily schedule.

"To have that run on a schedule, which is a daily basis, to return me a CSV that I can upload in three clicks, as opposed to spending hours a day or hours a week running through search terms one by one—that's one of the best use cases for me at the moment."

The time savings can be substantial.

Using Adzviser to Understand What Changed

Search terms are not the only use case.

When we spoke with James, Bloomreach was in the process of migrating and consolidating advertising accounts. Adzviser gives him a way to investigate whether those changes are actually improving performance.

For example:

• Did the account migration have a positive or negative impact?
• What changed after conversion actions were consolidated?
• Is Bloomreach spending in regions where it does not need to?
• Is it spending enough in other markets?
• Are those markets generating the expected number of conversions?

Instead of manually bringing those datasets together every time, James can use Adzviser to access the underlying advertising data and analyze the results.

More Than Reporting: A Data Layer for Bloomreach

For James, Adzviser's biggest value goes beyond reporting faster. It is the ability to access advertising data programmatically.

"The real value isn't just faster reporting or faster manual tasks. It's how accessible all that data is programmatically."

That accessibility means the same underlying advertising data can support different workflows.

James uses it for search term management and cross-platform analysis, while recurring reporting can be automatically posted to Slack or delivered by email.

He describes Adzviser's role this way:

"It's not just a dashboard or a manual export remover. It's pretty much a data access layer which makes your ad performance data composable."

For Bloomreach, that means advertising data is no longer something James has to repeatedly retrieve and prepare. It becomes something he can build workflows on top of.

A Source of Truth Across Advertising Platforms

James had also tested other tools designed to solve similar problems. His experience was that some would break, time out, or simply not work effectively.

Adzviser stood out because of its consistency and ability to work across multiple platforms.

"For Bloomreach, at least, it acts really like a data layer for our automation."

Rather than using separate tools that each return data to different places, James can use Adzviser as a common layer across Bloomreach's advertising stack.

"This really is the source of truth, if you like, for all of our platforms."

He also highlighted the quality of the underlying data:

"I'm really happy with the data cleanliness. I'm really happy with the consistency as well."

That reliability becomes especially important when automated workflows depend on the data underneath them.

Reporting Done Before Monday Morning Coffee

The impact is easy to see in James's weekly routine.

Tasks such as cross-referencing data and preparing reports used to take up part of his Monday mornings. Now, much of that work happens automatically.

"All the things I need to report on are pretty much automatically posted in Slack, automatically emailed, automatically done—by the time I finish my coffee on a Monday morning."

Instead of spending the beginning of the week gathering data, James can start with much of the reporting work already completed.

From Manual Exports to Composable Advertising Data

Adzviser has helped Bloomreach reduce the repetitive work involved in managing advertising data.

Today, James can:

• Automate daily search term retrieval
• Turn search term management into a three-click workflow
• Reduce manual CSV exports and VLOOKUPs
• Analyze account migrations and conversion changes
• Investigate regional spend and performance
• Automatically distribute reporting through Slack and email
• Access advertising data through one consistent layer

But for James, the bigger value is what becomes possible once that data is accessible programmatically.

His recommendation to other PPC marketers is straightforward:

"If you're still manually exporting sheets or manually exporting CSVs, you should be using Adzviser. It's pretty much that simple."

For Bloomreach, Adzviser has become more than a way to retrieve advertising data. It has become a composable data access layer for paid media.

Watch the full conversation with James Flitcroft on the Adzviser YouTube channel.