CASE STUDY · GOOGLE CLOUD PARTNER, ACCOUNT-BASED MARKETING

How a Google Cloud Transformation Partner Rebuilt Demand Generation Mid-Rebrand

Qodea — the Google Cloud transformation partner formerly known as Appsbroker CTS — had to launch a new name, hold a stalled pipeline together, and prove an account-based strategy was worth scaling, all in the same two quarters.
70%+ more leads than projected 57% lower CPL on the flagship 60% win-rate on engaged accounts Account-Based Marketing
+ 0 %

More leads than projected

Across the six-month programme

- 0 %

Cost per lead on the flagship

Below the account average

0 %

Opportunity win-rate

On the data-led pilot's engaged accounts

0 M+

Impressions delivered

And 10,405 clicks across the programme

THE SITUATION

A new name, a stalled pipeline, and a strategy to prove — all in the same two quarters.

Qodea, the Google Cloud transformation partner formerly known as Appsbroker CTS, was midway through an active account-based marketing partnership when the business took on a new name. That timing mattered. A brand relaunch usually gets its own dedicated runway; here it had to happen alongside a Demandbase programme already targeting named accounts across the UK and Benelux, plus a lead generation function senior stakeholders were watching closely.

Complicating things further, the target account lists themselves kept moving. Between April and December 2024, the audience feeding the paid media and ABM platforms was revised seven times — shifting from a fast-start prospect list, to a combined client and whitespace list, to segmented UK and BLX lists, and back again. Each change reset the algorithms’ learning period and pushed benchmarks out of reach just as they were becoming reliable.

The account intelligence infrastructure was already in place; it just was not being read consistently. Client accounts and net-new prospects were tracked through the same funnel view even though they behaved in opposite ways — existing clients converted comfortably, while whitespace prospects showed strong early interest then dropped off sharply before any opportunity was created.

target-list revisions in nine months
7 revisions to the target account lists in nine months, each one resetting what the algorithms had learned
Same funnel view for two account types that behaved in opposite ways

A rebrand mid-flight

No dedicated runway

A full name change had to land alongside a live ABM programme and a lead-gen function under close watch — not on its own timeline.

Lists that kept moving

Revised seven times

The audience feeding paid media and ABM was revised seven times in nine months, resetting the algorithms’ learning period each time.

Two account types, one view

Read as if identical

Existing clients and net-new prospects were tracked through the same funnel even though they behaved in opposite ways.

WHAT WE DID

Sequence the rebrand, follow the content that converts, and read the funnel by account type.

The relaunch was treated as reach, spend followed proven content, and account intelligence was run as its own layer feeding every channel.
LinkedIn creative · cost per engagement
CarouselLeading
VideoMid-pack
Single imageLowest
Spend by asset · six months
Live · flagship asset performance
~95%Of all leads
-57%Cost per lead
#1Asset by CTR

The data and AI trends report outperformed every other asset in the mix.

Account intelligence · one record
CRM Intent data Buying-group data
One Account
Record
EVERY CHANNEL
Funnel by account type
ClientsConverting
ProspectsDropping off
01
The Rebrand

Sequencing the rebrand around reach, not response

The Qodea name launch was treated as an awareness exercise rather than a direct-response one. LinkedIn carried the creative story, with carousel ads outperforming both video and single-image formats on cost per engagement, while Demandbase programmatic extended reach into the accounts that mattered and a digital out-of-home layer put the new identity in front of the business districts with the heaviest concentration of target accounts. Three London boroughs alone — Hackney, the City of Westminster and Camden — accounted for over 40% of all out-of-home plays.

02
The Flagship Asset

Letting the highest-converting content lead spend

Once the rebrand had landed, budget followed performance rather than a fixed split. A Google Cloud data and AI trends report became the clear standout, delivering the large majority of leads generated across the entire six months at a cost-per-lead well below the account average. Lower-spend, narrower assets — covering cloud FinOps and top-of-funnel search content — proved that smaller budgets could still hold their own on engagement.

03
Account Intelligence

Separating account intelligence from campaign delivery

Rather than folding Demandbase account data into paid media as an afterthought, the two were run as connected but distinct layers: CRM, intent and buying-group data feeding an account intelligence engine, which in turn briefed content and paid distribution across LinkedIn, Meta, X, YouTube and Google. Every engagement, whatever the channel, fed back into the same account record.

04
Reading the Funnel

Reading the funnel by account type, not just by channel

Existing client accounts and net-new prospect accounts were reported — and acted on — separately. Client accounts converted from intent to qualification at a healthy rate, pointing toward upsell readiness. Prospect accounts showed strong early-stage intent but a much steeper drop before opportunity creation, which reframed the next phase around nurture and sales alignment rather than top-of-funnel volume alone.

THE RESULTS

More than 70% ahead on leads — and a flagship that carried the programme.

Across the six-month review period, the combined programme reached 78% of the full target account list and opened 190 new opportunities.

SIX-MONTH PROGRAMME

The account list, worked

Target account list reached78%
Of those, engaged52%
Just over half of the accounts reached
New opportunities opened190

PAID MEDIA LEADS

70%+ ahead of projection

0
Vs. original projection+70%
More than 70% ahead of the original projection — roughly one new lead every day since launch.

THE FLAGSHIP ASSET

One report, most of the leads

Share of all leads generated~95%
Cost per lead vs. account average-57%

More than 70% ahead of the original projection — roughly one new lead every day since launch.

THE EARLIER ABM PILOT

The data maturity pilot

Reachable accounts engaged and visited62%
Opportunities closed won60%

More than 70% ahead of the original projection — roughly one new lead every day since launch.

WHAT IT MEANS

From lead volume to account penetration.

The headline number is the lead volume. The more durable outcome is the shift in how Qodea’s demand generation now runs: fewer, steadier target lists instead of frequent resets; spend that follows proven content rather than a fixed channel mix; and account intelligence built once and reused across every channel rather than rebuilt per campaign.

FROM FREQUENT LIST RESETS

To fewer, steadier lists

No more restarting the algorithms’ learning period every few weeks.

FROM A FIXED CHANNEL SPLIT

To spend that follows proof

Budget concentrated on the assets and formats actually converting.

FROM REBUILDING PER CAMPAIGN

To intelligence reused everywhere

One account record every channel feeds, briefed once and reused.
The next phase moves the focus from lead volume to account penetration — building the kind of trust that shows up as pipeline months later, not as a lead the same week.

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