Frequently asked questions

Data privacy and security are paramount at Kleene.ai. Our platform adheres to strict data protection regulations and employs advanced security measures to ensure that your and your customer’s data is handled with the utmost care and confidentiality. Read more here

Yes, Kleene’s Customer Acquisition AI is designed to seamlessly integrate not only with a wide range of marketing tools and platforms but with your entire data organisation including data from finance, supply chain, and sales. This ensures that all relevant information is taken into account when making decisions, creating a real single source of truth. Such integration allows for a more comprehensive analysis and utilization of your existing data

Yes, Kleene’s Customer Retention AI is designed to integrate seamlessly not only with a wide range of CRM platforms but also with your entire data ecosystem, including data from marketing, finance, supply chain, and sales. This comprehensive integration ensures that all relevant information is considered when implementing customer retention strategies.

Yes, Kleene’s Inventory Optimisation AI is designed to integrate seamlessly not only with a wide range of ERPs platforms but also with your entire data ecosystem, including data from marketing, finance, supply chain, and sales. This comprehensive integration ensures that all relevant information is considered when making decisions, thereby creating a real single source of truth. Such integration allows for more thorough analysis and utilisation of your existing data, enhancing inventory management and demand forecasting strategies.

It’s easy to push your Kleene customer segments into your email or marketing automation platform and use them as lists for greater targeting and personalization. The process will vary slightly depending on which platform you have integrated, but is as simple as clicking a button

Kleene.ai’s Data Analytics Consulting is designed to accelerate your time to value by leveraging our breadth of data experience. From data architecture advisory to data visualization, we ensure that every aspect of your data strategy is aligned with your business goals, enabling faster and more effective decision-making

Analyst as a Service provides you with a dedicated team of data professionals managed by Kleene.ai. This team works as an extension of your business, handling various data-related tasks and projects. It’s a flexible solution that allows you to scale your data capabilities without the overhead of hiring a full-time in-house team.

A fractional CDO (Chief Data Officer) is a role provided by Kleene.ai to help guide your data strategy and management. This service is ideal for businesses that need expert data leadership but are not ready to hire a full-time CDO. A fractional CDO can offer strategic oversight, help in setting up data governance, and guide your team in implementing best practices in data management.

Traditionally, yes! That’s one of the reasons we built Kleene – so that brands without the time or budget to take on Enterprise-level data projects could still have access to gold standard measurement. Kleene is quick and easy to go live, and in most cases doesn’t even require input from your tech team!

Kleene’s AI models are continuously calibrated to your business needs. We work closely with your team to refine our model to your specific business needs as we understand that all businesses are different and some fine tuning is required for high accuracy. We also perform automated QA checks, that validate daily that the data used in the model is accurate and complete. Any change to your Ads Manager and Google Analytics are always monitored. or Ads Manager setup.

We measure every possible channel that influences directly or indirectly conversions. From online channels, to off-line channels, to post-purchase surveys, coupon codes we use every signal available to attribute conversions accurately. We attribute clicks, but most importantly we attribute the impact of impressions of top-funnel activities like Meta, Ticktock, Pinterest, Youtube.

Absolutely – Kleene is built privacy-first, and doesn’t rely on invasive user-level tracking to feed our models. That’s why our impressions measurement wasn’t affected by iOS 14, and it’s why brands using Kleene will always have the edge on those that rely on pixels to track their customers.

We can get started with as little as getting access to your ad platforms and order management platforms. Attribution will be accurate at an aggregate level, but with user-level event data and web tracking in place we can give you more granular attribution. We also use data points like coupon codes, post-purchase surveys, TV spend, Radio spend to improve the accuracy of our models.

We include top-funnel interactions (impressions, views) in our models by analysing the impact that those have on your orders. This ensures that your top-funnel activities gets the right level of credit in supporting your conversion rate at the bottom of the funnel.

We offer four pricing options based on the number of data connectors you need and the level of support or custom development required for your business. The price is fixed and doesn’t change with the number of pipelines or the volume of data – so with Kleene.ai, you get predictable pricing even as your data scales fast. We can review your current data stack in 15 minutes – book a quick call with our team to see which option fits best.

Setup usually takes 6–8 weeks, depending on your data complexity and integrations. Our team handles everything from connecting sources to getting your first dashboards live, though timelines can vary case by case.

Most customers start seeing insights within the first week. Because Kleene.ai automates data ingestion and transformation, you can have clean, analysis-ready data flowing into your BI tools almost immediately after setup.

Kleene was built for companies with little to no data team. All you need is one person with basic SQL skills to manage the platform – but if you don’t have that resource, our consultancy team can handle it for you. We also support your hiring process for your first data hires as part of our complimentary services.

Yes. If you are already using a BI tool like Power BI, Tableau, or Looker, you can keep using your existing BI tool with Kleene. If you don’t have a BI tool, we provide a BI solution.

Kleene supports Snowflake, Amazon Redshift, and Google BigQuery.

Kleene connects to 200+ data sources, including eCommerce platforms (Shopify, WooCommerce), marketing tools (Meta, Google Ads, Klaviyo), CRMs (HubSpot, Salesforce), finance systems (Xero, NetSuite), and databases (PostgreSQL, MySQL, etc.). We can also build and connect to any data source – whether it’s a system we don’t currently support or an in-house tool.

Yes – once data is flowing into your BI tool or dashboard, anyone can access and explore insights. Plus, Kleene’s semantic layer standardises definitions (like revenue, AOV, CAC) so everyone speaks the same data language.

Exactly. Kleene.ai automates data collection, cleaning, and transformation, drastically reducing time spent on manual reporting and dependency on agencies or freelancers for ad-hoc analysis.

We provide hands-on onboarding and ongoing support – from helping you design your data architecture to monitoring pipeline health. You’ll have access to Slack/Teams support, product specialists, and optional managed services if you prefer a more guided approach.

95% of the process is fully automated. Your team can connect data sources, build pipelines, and set up dashboards on their own – or, if you don’t have analysts, we’ll handle everything for you. If you need custom development, we’ll design and implement it so that ongoing manual setup isn’t required at all.

Yes. Kleene is built for fast-growing companies, and increasing your data volume won’t affect how you use the platform – or how much you pay for it. Our fixed pricing and architecture scale smoothly as your data grows, without added overhead or performance issues. Learn how our clients scale with us in our case studies.

Yes – you fully maintain control of all data models and pipelines, and you can adjust, extend, and create them in any quantity your business needs. The platform gives you complete flexibility without limiting how your data architecture evolves.