Services

    Services.

    01

    Digital transformation

    Digital transformation connects data, technology and media with a strategy, skills and operating model that help a business work as one.

    Strategy, capability build, operating model. End-to-end programmes that move brands from disconnected channels to a coordinated data, technology and media stack.

    What's included

    • Digital transformation strategy
    • Capability build
    • Operating model design
    • Connecting data, technology and media

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    02

    Customer data platforms

    A customer data platform unifies first-party customer data into persistent profiles that marketing and other systems can use in real time.

    CDP selection, implementation, and activation. Tealium, mParticle, Segment, Salesforce CDP, Adobe Real-Time CDP, ActionIQ. Real-time data unification and audience activation.

    What's included

    • CDP selection, implementation and activation
    • Real-time data unification
    • Audience activation
    • Tealium, mParticle, Segment, Salesforce CDP, Adobe Real-Time CDP and ActionIQ

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    03

    Marketing technology

    Marketing technology brings together the software and data a business uses to automate marketing and manage customer relationships.

    Martech stack design, Marketo, HubSpot, Braze, Klaviyo, Iterable. Marketing automation and lifecycle programmes that pay for themselves.

    What's included

    • Martech stack design
    • Marketing automation
    • Lifecycle programmes
    • Marketo, HubSpot, Braze, Klaviyo and Iterable

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    04

    Media and advertising

    Media and advertising combines paid media strategy and execution to reach audiences and drive measurable revenue.

    Paid media strategy and execution. Meta, Google, TikTok, programmatic, retail media. Optimised for measurable revenue, not vanity.

    What's included

    • Paid media strategy
    • Paid media execution
    • Meta, Google and TikTok
    • Programmatic and retail media

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    05

    Marketing mix modelling

    Marketing mix modelling estimates how marketing channels and outside factors contribute to business outcomes using aggregated historical data.

    Stitch Predict. Cookieless, privacy-safe causal attribution using ML. Models take 6 to 10 weeks to deploy, with ±6 to 10% variance, on 2 to 3 years of weekly variable data.

    What's included

    • Stitch Predict marketing mix modelling
    • Cookieless, privacy-safe causal attribution using machine learning
    • 6 to 10 weeks to deploy, with ±6 to 10% variance
    • 2 to 3 years of weekly variable data

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