B2B SaaS · Pipeline · Illustrative
From scattered leads to qualified pipeline
An enterprise software company based in Singapore had marketing-qualified leads as their agreed mark. Paid search and LinkedIn campaigns were producing volume, but sales complained that too many enquiries lacked budget authority or were researching competitors without intent to buy. The dashboard looked healthy; the pipeline did not.
We ran a workshop with product marketing and sales to map the journey from first click to qualified opportunity. That session revealed landing pages written for awareness traffic rather than demo requests, and form fields that attracted researchers rather than buyers. We restructured paid search around high-intent keywords, rebuilt two primary landing pages with clearer qualification signals, and aligned reporting so the mark tracked CRM-stage progression rather than raw form fills.
Over the following quarter in this illustrative scenario, marketing-qualified leads rose by 24% while cost per qualified lead held roughly flat. Your results will differ. The principle — agree the mark, fix measurement, then optimise channels against it — will not.
E-commerce · Revenue · Illustrative
Revenue per visitor, measured properly
A regional e-commerce brand was allocating budget across Google Ads, Meta Ads and affiliate partnerships based on platform-reported return on ad spend. Finance could not reconcile the figures with actual revenue in their commerce platform. Channels that looked profitable in ad dashboards were underperforming once returns and partial refunds were accounted for.
We rebuilt attribution around revenue per visitor as the mark, connecting server-side purchase events to campaign-level reporting and documenting a 14-day attribution window that finance signed off on. Only after measurement was trustworthy did we reallocate spend. Two campaigns previously labelled as winners were paused; budget shifted to product categories where margin and conversion rate aligned.
In this illustrative engagement, revenue per visitor increased by 11% over two quarters. We report that figure with full context: seasonality, a site redesign mid-engagement, and a product launch that helped one category disproportionately. Case studies are not forecasts.
Consumer services · Paid media · Illustrative
Daily pacing when the mark is cost per booking
A consumer services organisation in Southeast Asia agreed on confirmed bookings as their mark, with a target cost per booking that finance had modelled against lifetime value. Previous agency reporting showed weekly summaries that smoothed over daily overspend on underperforming ad sets.
We introduced daily stand-up reviews against pacing — checking spend, conversion rate and cost per booking before small deviations became expensive ones. Creative tests ran on a fixed calendar with pre-registered hypotheses. When an audience segment stopped converting at the agreed threshold, we paused it rather than letting it run because the account had budget remaining.
Cost per booking improved over several months in this scenario. We do not present that as a guarantee. Paid media efficiency depends on offer strength, competitive pressure and creative quality as much as on bid management.
Professional services · Search · Illustrative
Ranking for a phrase buyers never typed
A professional services firm in the CBD was proud of a page-one ranking for an industry term that sounded impressive in board meetings. Sales said nobody who enquired had ever mentioned it. Search Console showed traffic; the CRM showed almost no qualified enquiries from organic search.
We mapped actual buyer queries through client interviews and search data, then rebuilt the content architecture around enquiry-stage keywords. Paid search terms that converted were mirrored in organic landing page copy so the two channels reinforced rather than competed. Progress was reported against qualified enquiry volume, not ranking count.
Rankings shifted over months; leads followed unevenly. SEO is a long-cycle discipline and we state that plainly. The shift in this illustrative story was in what the organisation measured and what it stopped optimising for.