client case studies

Real agency workflows. Real systems built.

Reporting. Campaign monitoring. Audits. Proposals. Ad creation. CRO. Message match. Large-scale campaign production.

These are working systems built around the kind of repetitive delivery work agencies deal with every day.

The point is simple: remove the production work, keep the specialist thinking.

✓ Built around real delivery work ✓ Human review retained ✓ Designed for scale
Flagship Build
128,000+

product variations handled by a single campaign build system from one structured spreadsheet.

Campaign structure ✓
Ad groups ✓
Keywords ✓
Ad copy ✓
Landing-page outputs ✓
What Changed A huge repeated campaign-production task became a structured system specialists could review instead of rebuild by hand.
15+ years

Digital marketing & agency delivery experience

128,000+

Product variations handled in one campaign build

98%+

Production-time reduction on flagship campaign build

1,700+ hrs/year

Specialist time saved across agency workflows

Large-Scale Campaign Build

128,062 part numbers.
One structured Google Ads build.

A catalogue containing 91,811 unique products and 128,062 searchable part numbers needed to become a usable Google Ads account. A purpose-built production system converted the source data into a structured campaign ready for specialist review.

128,062 exact-match keywords
1,338 structured ad groups
The challenge

A campaign build too large for conventional production.

The product data existed, but it was not ready for Google Ads. Turning it into a consistent account manually would have created a substantial production and quality-control burden.

  • × Thousands of products, part numbers and destination URLs to organise.
  • × Campaign naming and structure had to remain consistent at scale.
  • × Manual production would introduce avoidable omissions and formatting errors.
  • × Every output still needed to be usable, reviewable and ready for specialist QA.
Without a production system

A repetitive manual build with an impractical review workload.

The system built

Structured campaign production from source data.

A purpose-built workflow processed the catalogue into a controlled Google Ads structure, applying the same rules across every record and preparing the complete build for expert review.

  • ✓ Structured campaign hierarchy
  • ✓ Consistent ad-group naming
  • ✓ Exact-match keyword generation
  • ✓ Product-level URL mapping
  • ✓ Responsive search ad production
  • ✓ Structured QA and review files
With the system

A complete account structure produced consistently and prepared for specialist review.

Measurable impact

Weeks of expert production compressed into hours.

150–200
Expert hours estimated manually Equivalent manual production requirement
3 hrs
Automated build time From structured input to complete output
98%+
Reduction in production time Compared with estimated manual delivery
50–67×
Faster build delivery Specialist time moves to review and QA
Centralised Agency Reporting

Multiple data sources. Multiple clients.
One central reporting view.

An agency needed to replace fragmented platform reporting with one connected environment. The resulting system gives the team a clear view across its client portfolio while preserving the detail needed to understand each individual account.

Agency overview Portfolio-wide performance visibility
Client detail Account-level analysis and trends
The reporting challenge

The data existed. The complete picture did not.

Performance information was distributed across platforms, accounts and reporting periods. Answering a straightforward client or portfolio question required repeated navigation, collation and interpretation.

  • × Client performance distributed across separate advertising accounts.
  • × No immediate portfolio-wide view of the agency’s paid-search activity.
  • × Historical trends required repeated platform navigation and comparison.
  • × Routine reporting questions consumed specialist time before analysis began.
Before centralisation

Every portfolio or client question began by finding and assembling the data.

The system built

One reporting environment with two levels of visibility.

A central reporting system brought the essential performance information into one environment, allowing the agency to move from portfolio-wide oversight to individual-client analysis.

  • ✓ Multi-client performance overview
  • ✓ Individual-client reporting views
  • ✓ Standardised performance metrics
  • ✓ Flexible date-range comparison
  • ✓ Historical trend analysis
  • ✓ Client and manager filtering
After centralisation

Agency-wide visibility and client-level detail are available in the same environment.

Measurable impact

Less time finding data. More reporting depth in one place.

1
Central reporting environment Replaces navigation across disconnected reporting views
2
Levels of visibility Agency-wide oversight and individual-client analysis
6
Core performance metrics Conversions, efficiency, budget and engagement in view
21
Months of trend visibility Longer-term performance context without separate exports
Common Questions

Common questions about our case studies.

Clear answers about anonymity, how savings are worked out and what the figures on this page actually mean.

Many agencies prefer their internal systems and use of automation to stay private. We respect that. Client names, account details and sensitive parts of the workflow are removed while the work, process and results remain real.

Yes. The examples are based on real agency work and real workflows. Where a figure is based on an estimate rather than a directly measured result, we make that clear.

We compare the time the work took before the new system with the time it takes afterwards. For example, if a reporting process took 35 hours before and 3 hours after, the saving is 32 hours per cycle.

No. Some workflows can be timed directly before and after. Others, especially very large one-off builds, are compared against a realistic estimate of how long the same work would have taken manually. The method depends on the type of work being measured.

Not necessarily. Every agency works differently. The amount of time you can save depends on how much manual work exists now, how often the task is repeated and how suitable that workflow is for automation.

Where confidentiality allows it, yes. The site includes anonymised examples of real dashboards, AI assistants and monitoring alerts. More detail can also be discussed during an Efficiency Review where it does not expose private client information.

Find Your Efficiency Gaps

Find the workflows costing your agency capacity.

Map the repeated work, handoffs and manual checks consuming specialist time and identify where automation could make the biggest difference.

Client Systems At A Glance

Repeated delivery work adds up quickly.

Three real agency systems built to remove repeated production work while keeping specialists responsible for review, judgement and final approval.

Multi-Client Reporting Production System

35 client reports produced every reporting cycle.

The system brings together the recurring performance data needed across 35 client accounts and prepares the reporting outputs for each cycle. The team now spends its time checking the reports, adding context and making recommendations instead of rebuilding them manually.

Time Regained 32 hrs every reporting cycle
Production Time −91% reduction
Before 35 hrs
→
Now 3 hrs
Explore Reporting Automation →
Structured Paid Media Audit System

Manual audits took two hours per client.

The system runs the repeated checks used in the agency’s paid media audit process, gathers the findings into one consistent structure and prepares the first version of the audit. Specialists then validate the findings, add context and decide what should be recommended.

Time Regained 1.5 hrs per client audit
Production Time −75% reduction
Before 2 hrs
→
Now 30 min
Explore Audit Automation →
Proposal Knowledge & Drafting System

Every proposal consumed around three hours of senior time.

Approved service information, case studies, credentials and existing proposal content are organised into one reusable system. It prepares a structured first draft for each opportunity, leaving senior staff to tailor the strategy, commercial detail and final recommendation.

Time Regained 2.5 hrs per proposal
Production Time −83% reduction
Before 3 hrs
→
Now 30 min
Explore Proposal Automation →
More Client Systems

The same pattern appears across different parts of agency delivery.

Three more real systems built to shorten repetitive production work while keeping specialists responsible for judgement, refinement and final decisions.

Paid Social Ad Production System

Ad production was taking around two hours per client.

The system takes campaign information, offers, audience context and approved messaging and turns them into structured ad-copy outputs ready for review. Specialists then refine the messaging, choose the strongest angles and approve the final creative before anything is launched.

Time Regained 1h 40m per client
Production Time −83% reduction
Before 2 hrs
→
Now 20 min
Landing Page CRO Review System

Initial CRO analysis took around an hour per client.

The system reviews the landing page against an agreed CRO framework covering areas such as messaging, hierarchy, friction, calls to action and conversion opportunities. It produces a structured first-pass review, leaving the specialist to decide which issues matter most and what should actually change.

Time Regained 40 min per client review
Production Time −67% reduction
Before 1 hr
→
Now 20 min
Ad-to-Landing-Page Message Match System

Ad-to-page alignment checks took around an hour per client.

The system compares the promises, messaging, positioning and calls to action used in the ads with the landing page they send traffic to. It highlights the main gaps first, leaving the specialist to judge which mismatches are hurting the journey and decide what should be changed.

Time Regained 50 min per client review
Production Time −83% reduction
Before 1 hr
→
Now 10 min
How Results Are Calculated

Clear numbers need a clear method.

Time savings are based on the change between the previous way of completing the work and the new system-assisted workflow. The method depends on whether the original process was directly timed or whether a realistic manual equivalent is required.

01

Previous workflow

We establish how long the work took before the new system was introduced, using existing delivery timings wherever they are available.

02

New workflow

We measure the time required after the system has taken over the repetitive production, checking or preparation work, including the specialist review that remains.

03

Manual equivalent

For large one-off builds where the original process was never completed manually end to end, we calculate a realistic manual equivalent based on the volume and complexity of the work.

✓
Estimated results are identified as estimates.

We do not present a calculated manual equivalent as though somebody actually spent that number of hours completing the work. Where a result is based on an estimate rather than a directly timed workflow, we make that distinction clear.

Example — Large-Scale Google Ads Campaign Build
Manual Equivalent 150–200 hours
System Build 3 hours
Time Removed ~147–197 hours
Measurement Estimated manual equivalent
Your Agency Has Work Like This Too

Find the hours your team could get back.

We’ll look at how work moves through your agency, identify the repeated production and checking that is consuming specialist time, and show you where better systems can return that capacity.

✓ Real agency workflows ✓ Tangible time savings ✓ Human review retained
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