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    Campaign Optimisation Manager

    Location:Cape Town, Stellenbosch
    Remote work:Some remote work allowed
    Education level:Degree
    Job level:Mid/Senior
    Own transport required:Yes
    Travel requirement:Occasional
    Type:Permanent
    Company:Shop2Shop

    Job description

    Purpose of role:

    The Campaign Optimisation Manager is responsible for planning, executing, and refining high-impact, data-led campaigns that drive customer acquisition, retention, engagement, and repayment. Sitting within the Decision Analytics team, this role serves as the vital link between data insights and business action — ensuring that predictive models and audience insights are translated into real-world campaigns with measurable impact.

    You’ll thrive in this role if…
    • Are energised by turning insights into action.
    • Are comfortable collaborating across data teams, product, sales, and marketing.
    • Understand the nuances of timing, targeting, and messaging in multi-channel campaigns.
    • Have strong follow-through and love seeing results in dashboards.
    • Can juggle multiple priorities while maintaining compliance and precision.

    What You’ll Do (and what success looks like)

    Translate data into execution
    • Work with data teams and analysts to turn models into audience segments (e.g. demographics, behaviour, credit profiles, engagement history).
    • Collaborate with Product, Sales, and Marketing to define campaign objectives that tie directly to business value.

    Success = Campaign briefs that are data-led, operationally feasible, and commercially meaningful.

    Coordinate multi-channel campaign delivery
    • Launch campaigns through SMS, email, app, field, or contact centre — based on channel uplift modelling.
    • Manage calendars, track dependencies, and liaise with relevant teams to ensure timely execution.

    Success = Campaigns go live on time with clear traceability and strong cross-team alignment. 

    Monitor and adjust in real-time
    • Track key metrics daily (uptake, conversion, repayment, opt-outs, etc.).
    • Adjust segments, timing, or messaging based on campaign performance data.
    • Provide clear reporting to management with insights and recommendations.

    Success = High responsiveness to underperformance and consistent improvements in ROI.

    Drive learning and continuous improvement
    • Run structured experiments (e.g. A/B tests, send-time optimisation).
    • Feed insights back to the Decision Analytics team to improve targeting models.

    Success = Each campaign increases collective intelligence and sharpens future execution. 

    Ensure compliance and auditability
    • Ensure all campaigns follow data privacy, consent, and opt-out rules.
    • Maintain documentation and version control of campaign configurations and cohorts.

    Success = Fully auditable processes with zero compliance breaches.



    Core Competencies
    • Customer & Commercial Insight – Understands user needs, behaviour patterns, and value levers.
    • Analytical Execution – Turns dashboards, reports, and models into real-time decisions.
    • Cross-Functional Collaboration – Works well with analysts, marketers, tech, and sales teams.
    • Experimentation Mindset – Designs, runs, and interprets structured experiments.
    • Attention to Detail – Maintains compliance and documentation in fast-moving campaign cycles.
    • Adaptability – Comfortable operating in ambiguity with changing priorities.


    Skills & Knowledge
    • Strong understanding of segmentation, clustering, and targeting.
    • Working knowledge of SAS, SQL, Excel, and campaign management/automation tools.
    • Familiarity with CRM systems, SMS/email platforms, and analytics dashboards.
    • Experience managing campaign calendars and executing across multiple teams.
    • Ability to write clear briefs and interpret results analytically.

    Experience & Qualifications
    • 3–5 years’ experience in marketing operations, CRM, campaign management, or analytics-led execution.
    • Prior experience in a data-led or fintech environment is highly advantageous.
    • Bachelor’s degree in Marketing, Business, Data Science, or related field preferred

     

    Growth Mindset
    • Embrace learning agility: continuously grow by learning, unlearning, and adapting to change
    • Approach challenges with curiosity and resilience, seeing setbacks as opportunities to improve
    • Seek clarity in complexity, break down ambiguity, and drive decision-making through collaboration
    • Stay grounded in purpose: understanding how your role, your team, and your delivery outcomes contribute to Shop2Shop’s broader mission to power local trade

    *Other Requirements
    • We offer a flexible, work-from-home environment — provided you have uninterrupted connectivity and a dedicated, professional work setup at home.


    Posted on 27 Nov 10:38, Closing date 26 Jan

    Apply by email

    Nicole
    talent@shop2shop.co.za

    Or apply with your Biz CV

    Create your CV once, and thereafter you can apply to this ad and future job ads easily.
    Shop2Shop
    It's quite simple; as a Fintech business we are driven by our passion to help entrepreneurs participate and prosper in the digital economy.
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