50% of GTM leaders cite poor data quality and siloed data sources as persistent barriers to effective and accurate AI.
Robust data prep that leads to high-quality, well integrated data is hard and can seem inaccessible to most GTM teams.
e:cue is your dedicated AI data team that does the hard work of prepping your data for AI success.
Our team of expert data scientists aren't afraid of hard work (extracting, aggregating, and cleansing data) in addition to fun work - building custom predictive models (LTV models for marketers to bid with confidence, lead scores for sales teams to prioritize calls) to solve your revenue challenges.
sales : How can I identify a good customer earlier?
Most data stacks today consist of heaps of platforms — whether it's CRM (HubSpot), call recordings (Gong), email, or website data. We extract, cleanse, and connect data from these platforms, and develop custom metrics and predictive models, so your teams can identify the right customers and pick up early behavioral cues to respond at the right moment
marketing : Who are the right (and wrong) customers for my business?
Developing an ICP for your growing business is hard. Critical customer data is often hidden in messy systems or unstructured dumps. We translate the entire customer journey into data points — quantitative and qualitative. This lets us identify who your successful customers are, and why, helping to uncover signals that can reallocate marketing investment and fine-tune your messaging.
finance : How can I predict revenue outcomes better?
We know the pain points that come from long conversion and revenue cycles that make forecasting hard. We work with you to understand your business model, and find the right early predictors of conversion, retention, and revenue in your existing data. By operationalizing this data across key teams (like marketing, sales, and finance), you get on the same page faster to drive confidence in your forecasts
