Fractional CMO Services & AI Marketing

HOW I CAN HELP

CASE STUDIES

SHOW ME OF FOR WITH WORK IN USING FOR

▸ 10 MATCHED CASE STUDIES

0110×DAILY LEADSTen times the broadband leads from one change of questionTelecoms · Customer experience 02£25MEFFICIENCY GAIN£25M of efficiency from putting the data in one placeEnergy · AI 03-92%ROLLOUT COSTA 92% cut in the cost of launching a website, 88 countries overConsumer goods · Technology 04£20MSALES GENERATED£20M in sales from an AI experience built market by marketRetail · Ecommerce 0512:1RETURN ON INVESTMENT12:1 return by staffing analytics differentlyTelecoms · Data & analytics 06+27%YOY REVENUE27% more revenue from treating buyers as an experience, not a listMedia & Technology · Technology 07£18MATTRIBUTED REVENUE£7M to £18M of attributed revenue in three yearsProfessional services · Strategy & positioning 08500%MORE LEAD CONVERSIONCampaigns in three days instead of three weeksFinancial services · Technology 09+54%PERCEPTION SHIFTShifting belief about counterfeit medicine by 54%Healthcare · Strategy & positioning 107%CONVERSION RATEA standing start to 7% conversion on automation aloneFinancial services · Strategy & positioning

Ten times the broadband leads from one change of question

A national connectivity provider was selling products. We defined the audiences first and rebuilt the buying journey around what people were actually trying to do, with personalised gamification carrying them through it.

10×DAILY FIBRE LEADS

Customer-firstVS PRODUCT-FIRST

1REBUILT JOURNEY

UKMARKET

Business: B2B · B2C
Industry: Telecoms
Business size: Enterprise
Marketing type: Growth
Capability: Customer experience · Ecommerce
Technology: Adobe · Pega · Custom-built

Challenge

A national broadband provider was selling products but was missing a large part of the market. When searching for broadband, the checker gave the consumer two options: yes, which sent them down a sales journey, or no, which was a hard no with no information and no transparency on when they could buy.

With consumers proactively sharing their intent, the brand was wasting an opportunity to engage — it did not know who these people were. They wanted an experience that changed that.

The way they rolled out their network was based on planning data rather than on where customers would buy. Having details of the people who were interested in their services gave them insight into how they could roll out that network better.

Solution

We defined a solution that helped the brand pivot from planning-led to customer-led. We created a new experience that let those who could not be serviced register their interest, gain transparency, and potentially move up the waiting list. We rebuilt the buying journey around what people were actually trying to do, with personalised gamification carrying them through it.

The data from that experience enabled two things. First, it let us build a customer turnover model, which identified the right audiences from those who had registered interest and mapped them into a plan — so the client built where their customers were, rather than where it was easiest to build.

Second, it put customers in charge of their own destiny by gamifying the waiting list. The more people in the same catchment who signed up, the sooner the new services arrived.