Our work

Work judged by what it does for the business.

Since 2011 we have built more than 70 websites and run search, content and digital programmes for financial services, education, technology and more. Here is who we have worked with, and how we work.

2011working with SA businesses

70+websites built

17clients and ventures shown

0ranking guarantees

Selected clients and group ventures

The Caban Group

Corporate finance and investment group

Caban Corporate Advisors

Corporate finance advisory

LEFA Asset Managers Africa

Africa-focused asset management

Global Executive Business School

Executive education for African leaders

CoinMena Investment Holding

TBL Accounting

Accounting and bookkeeping practice

Broker’s Broker

Digital Foundry

AI consultancy for enterprises

PALM Scientific

Cloud7

Universal Lectures

Homely Wardrobes

Zootom VR

Tapcrunch

Bonus Brick & Paving

Paving contractor, Gauteng

Dunn To Perfection Foundation

Author Deanna Lynn

Several of these are Caban group ventures. Per-client service details are published once approved.

Creative approach

Campaign concepts

Illustrative concepts that show how we think about a message, an audience and a channel. They are not client work, and every brand shown is fictional.

Brand and product campaigns

Illustrative campaign concept for a fictional brand, Travel Co: destination awareness
Travel CoDestination awareness · illustrative concept
Illustrative campaign concept for a fictional brand, Commerce Co: small-business growth
Commerce CoSmall-business growth · illustrative concept
Illustrative campaign concept for a fictional brand, Energy Co: solar product launch
Energy CoSolar product launch · illustrative concept
Illustrative campaign concept for a fictional brand, Financial Services Co: clarity-led brand message
Financial Services CoClarity-led brand message · illustrative concept
Illustrative campaign concept for a fictional brand, Mobility Co: urban e-bike awareness
Mobility CoUrban e-bike awareness · illustrative concept
Illustrative campaign concept for a fictional brand, Agri Co: data-led farming
Agri CoData-led farming · illustrative concept
Illustrative campaign concept for a fictional brand, Culture Co: story-led awareness
Culture CoStory-led awareness · illustrative concept
Illustrative campaign concept for a fictional brand, Health Co: personalised supplements
Health CoPersonalised supplements · illustrative concept
Illustrative campaign concept for a fictional brand, Fintech Co: payments reassurance
Fintech CoPayments reassurance · illustrative concept
Illustrative campaign concept for a fictional brand, Food Co: appetite and offer
Food CoAppetite and offer · illustrative concept
Illustrative campaign concept for a fictional brand, Connect Co: connectivity for the next chapter
Connect CoConnectivity for the next chapter · illustrative concept
Illustrative campaign concept for a fictional brand, Delivery Co: everyday convenience
Delivery CoEveryday convenience · illustrative concept
Illustrative campaign concept for a fictional brand, Work Co: enterprise software, less admin
Work CoEnterprise software, less admin · illustrative concept

Data, research and insight

Turning information into decisions: how we frame data collection, integration, analysis and storytelling.

Illustrative campaign concept for a fictional brand, Survey Co: research that starts with the right questions
Survey CoResearch that starts with the right questions · illustrative concept
Illustrative campaign concept for a fictional brand, Data Co: bringing scattered data together
Data CoBringing scattered data together · illustrative concept
Illustrative campaign concept for a fictional brand, Analytics Co: finding the pattern in complexity
Analytics CoFinding the pattern in complexity · illustrative concept
Illustrative campaign concept for a fictional brand, Insight Co: data stories built for decisions
Insight CoData stories built for decisions · illustrative concept
Illustrative campaign concept for a fictional brand, Connect Co: demand mapping, shown with demonstration data
Connect CoDemand mapping, shown with demonstration data · illustrative concept

Data storytelling

Data, told as decisions

Three real data stories from our own site and group ventures, and six samples of the method. Each shows the chart, the number that matters and the decision it supports.

  • Real data · our own site

    Search performance

    What twelve months of our own search data told us

    −82%monthly search impressions, Nov 2025 to Oct 2026

    Nov: 37 clicks, 63,375 impressionsDec: 27 clicks, 65,402 impressionsJan: 31 clicks, 65,119 impressionsFeb: 37 clicks, 51,350 impressionsMar: 34 clicks, 35,806 impressionsApr: 21 clicks, 30,532 impressionsMay: 9 clicks, 25,909 impressionsJun: 11 clicks, 28,203 impressionsJul: 11 clicks, 23,689 impressionsAug: 11 clicks, 23,935 impressionsSep: 12 clicks, 8,951 impressionsOct: 8 clicks, 11,285 impressionsNovDecJanFebMarAprMayJunJulAugSepOct63,375 impressions11,285Orange bars: clicks per month (own scale): 37 in Nov 2025, 8 in Oct 2026
    See the full story
  • Real data · published by Caban

    Market intelligence

    Four trackers, four totals: African growth-capital data as a decision brief

    24%spread between four credible trackers on the same half-year

    $1.2bn$1.3bn$1.4bn$1.5bnLaunch Base Africa: $1.21bnLaunch Base Africa$1.21bnAfrica: The Big Deal: $1.40bnAfrica: The Big Deal$1.40bnTechCabal: $1.44bnTechCabal$1.44bnCondia: $1.50bnCondia$1.50bn24% spread on one half-year
    See the full story
  • Real data · published by TBL Accounting

    Tax and cash decisions

    From tax notices to dated decisions: the Cash & Tax Brief

    1% → 10%late interim EMP501 penalty, rising 1% of annual PAYE a month

    1 months outstanding: 1% of annual PAYE11%2 months outstanding: 2% of annual PAYE22%3 months outstanding: 3% of annual PAYE33%4 months outstanding: 4% of annual PAYE44%5 months outstanding: 5% of annual PAYE55%6 months outstanding: 6% of annual PAYE66%7 months outstanding: 7% of annual PAYE77%8 months outstanding: 8% of annual PAYE88%9 months outstanding: 9% of annual PAYE99%10 months outstanding: 10% of annual PAYE1010%Months the interim EMP501 return stays outstanding
    See the full story
  • Real data sample

    Audiences

    Which languages do South Africans speak at home?

    40.7%isiZulu and isiXhosa together. English: 8.7%. Stats SA data.

    isiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiZuluisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaisiXhosaAfrikaansAfrikaansAfrikaansAfrikaansAfrikaansAfrikaansAfrikaansAfrikaansAfrikaansAfrikaansAfrikaansSepediSepediSepediSepediSepediSepediSepediSepediSepediSepediEnglishEnglishEnglishEnglishEnglishEnglishEnglishEnglishEnglishSetswanaSetswanaSetswanaSetswanaSetswanaSetswanaSetswanaSetswanaSesothoSesothoSesothoSesothoSesothoSesothoSesothoSesothoOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesOther languagesisiZulu24.4%isiXhosa16.3%Afrikaans10.6%Sepedi10.0%English8.7%Setswana8.3%Sesotho7.8%Other languages13.9%
    See the full story
  • Method sample

    Customer segmentation

    What could 6 behavioural segments look like for a national retailer?

    6 segmentsby purchase frequency and basket value, sized by customers

    Purchase frequency →Average basket value →Loyal high spendersLoyalBargain huntersBargain huntersOccasional basketOccasional basketLapsing regularsLapsingNew and curiousNewPayday shoppersPayday

    Synthetic data for illustration. Not a client result.

    See the full story
  • Method sample

    Attribution

    How would an attribution review change a budget split?

    Last-click vs creditedemail, WhatsApp and in-store media given their share

    Last-click viewAttribution-guided viewPaid search 34%28% Paid searchPaid social 30%18% Paid socialEmail and WhatsApp 8%22% Email and WhatsAppIn-store media 20%24% In-store mediaAffiliates 8%8% Affiliates

    Synthetic data for illustration. Not a client result.

    See the full story
  • Method sample

    Churn and retention

    Where do customers leave, and which groups leave first?

    3 curvessteep early curves point to onboarding or price problems

    Prepaid, low usage32%Month 0Month 12Contract, mid usage66%Month 0Month 12Contract, high usage90%Month 0Month 12

    Synthetic data for illustration. Not a client result.

    See the full story
  • Method sample

    Loyalty and cross-sell

    Which loyalty members are ready for which category?

    Propensity mapdark cells show where a personalised offer is most likely to fit

    GroceriesHouseholdHealthBankingFuelCore shoppersCore shoppers · Groceries: propensity 9090Core shoppers · Household: propensity 6060Core shoppers · Health: propensity 4040Core shoppers · Banking: propensity 3030Core shoppers · Fuel: propensity 5050LapsingLapsing · Groceries: propensity 5050Lapsing · Household: propensity 3030Lapsing · Health: propensity 2020Lapsing · Banking: propensity 1010Lapsing · Fuel: propensity 2020New membersNew members · Groceries: propensity 4040New members · Household: propensity 3030New members · Health: propensity 5050New members · Banking: propensity 2020New members · Fuel: propensity 1010Bargain-ledBargain-led · Groceries: propensity 8080Bargain-led · Household: propensity 7070Bargain-led · Health: propensity 2020Bargain-led · Banking: propensity 1010Bargain-led · Fuel: propensity 3030

    Synthetic data for illustration. Not a client result.

    See the full story
  • Method sample

    Customer lifetime value

    How concentrated is customer value?

    Value curvethe steeper it rises, the more a few customers matter

    Top 20% of customers = 55% of valueCustomers, ranked by value →

    Synthetic data for illustration. Not a client result.

    See the full story

See more Data Intelligence work

Our own work, in the open

The Intelligence Lab is part of our work

We run the same methods on our own site and publish what we find: real search data, original research and free tools you can use today.

01

Intelligence Lab

Our live experiments and benchmarks, including the Search Console data from rebuilding this site.

02

Research and papers

Original white papers on search visibility and how AI assistants choose which businesses to recommend.

03

Free tools

Check how search and AI read your site, estimate automation ROI and test your team's AI readiness.

How we work with clients

01

Start with the commercial goal

Before any keyword or campaign, we agree what the business needs: more qualified enquiries, a better-informed sales team, a stronger position in a regulated market.

02

Measure what the business feels

Clicks and impressions matter only as far as they lead to enquiries and revenue. We report against the outcome, not the activity.

03

Say what we can prove

No ranking guarantees, no invented scores and no results we cannot document. Case studies are published once outcomes are verified and approved.

Want results you can trace to the business?

Tell us what you need to achieve. We will suggest a practical first step and how we would measure it.

Book a consultationSee our services