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FAQs

  • What types of attribution model does Cubed support?
    Our attribution model is custom built by our clever data science team. We use a multi-touch, incremental approach, using a neural network which takes 200+ inputs which are unique to each client. Within the platform, we also display last-click and first-click performance, but mostly for comparison performance against our multi-touch approach - we find this especially useful during onboarding.
  • How does Cubed handle cross-device attribution?
    Using sync IDs, Cubed stitches together data from multiple devices, providing a holistic and accurate view of the customer journey – this is key to understanding the performance of all marketing activity.
  • How frequently is the attribution model updated?
    We re-train our attribution models weekly, so your models will always by up-to date with the most recent data.
  • How does Cubed handle attribution for offline marketing efforts?
    We have the capability to upload offline sales into our system. We use our syncIDs to stitch together offline sales and online activity where possible.
  • What is the benefit of using Cubed Attribution over Google Analytics and Adobe (Markov or Shapley)?
    Cubed attributes conversions and revenue at the visit and page level (the most granular) so we can truly understand the impact of each marketing touchpoint. We build our models using neural networks due to their capability for complex pattern recognition and adaptability to varied data types, offering a more nuanced understanding of customer journeys. This granularity of attributed data unlocks the potential for things like campaign and content attribution analysis, alongside the out-of-box channel attribution due to the ability to aggregate the data up. Markov or Shapley struggles to attribute without having a huge dataset for training, in addition to being computationally expensive, resulting in attribution for smaller business not producing reliable insights. While Google Analytics and Adobe models like Markov or Shapley have their merits, neural networks offer a more advanced and versatile solution for businesses seeking a sophisticated and adaptable attribution analysis approach.
  • Does Cubed offer real-time attribution insights, or is there a delay in reporting?
    The dashboard is updated each night, at midnight.
  • Does Cubed add new technologies to your API integrations?
    Absolutely. We are always reviewing and adding to our list of API integrations based on client popularity and emerging trends within the industry.
  • How long does Cubed take to get up and running?
    Once we start collecting data, you'll start seeing actionable insights within 30 days.
  • What support services are included during onboarding?
    Our client services team are committed to ensuring you get the most out of your Cubed deployment. You will receive weekly meetings during onboarding, alongside unlimited support via email or phone. Once onboarded, we let the data collect and models run, then we follow up with regular insights meetings.
  • How much does Cubed cost?
    We tailor our pricing to align with the unique needs and objectives of your business. Find more information on our Pricing page or reach out to our team for further assistance.
  • Are API integrations included in the price?
    Yes, the API integrations we support are included in the subscription price.
  • Do you have pricing for agencies?
    Yes, we have pricing for agencies. If you are interested in learning more, please get in touch and a member of our team will be happy to chat through our pricing options.
  • Do you offer a free trial?
    We do not currently offer a free trial of Cubed. However, we do offer a 3-month, 6-month or 12-month Proof of Concept (dependant on the size of your business) to allow you to see the value of Cubed before committing.
  • How is data privacy and security ensured with your attribution software?
    We are fully GDPR compliant and certified. If you send us a piece of PII for purposes of syncing across devices, for example, an email address, we hash that email address using SHA-256 before storing, so the data is completely anonymised by the time it reaches our databases.
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