Faster answers for every go-to-market experiment

Rapid evaluation of GTM effectiveness is the fastest way to unlock revenue.

But for most teams, assessing the ROI of pricing changes, loyalty programs, or new marketing campaigns is a slow, manual process that depends on engineering and data science resources.

causaLens changes that.

Our digital worker lets you learn from GTM experiments as soon as the data’s back, so you can act before the market moves.

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The Overarching Problem:
Revenue doesn’t wait for your analytics team

You can try as many new GTM ideas as you want, but you’ll never know if they mattered if you don’t have the analytical bandwidth to assess them. Before you’ve had time to analyze your newest change, the opportunity has passed—and the upside with it.

Problem:
Slow tests miss market moments

The market moves fast. If your data team isn’t ready to test your new pricing, loyalty, or marketing idea and measure the outcome as fast as the market moves, you’ll miss the opportunity.

Problem:
GTM experiments stall from data chaos

Problem:
Grunt work takes more energy than new ideas

“We wanted causal answers in everything we do, however [Syneos] does 1000+ programs a year and there is no number of human data scientists we can hire to scale”

Syneos Health

The Solution:
Analyze New GTM Ideas in Minutes and Capture Revenue Sooner

Don’t let analytical bandwidth limit your ability to test ideas. Design and analyze GTM experiments in minutes, without the project waiting in a queue – then chat in plain English with your digital data scientist to turn results into next steps you can trust.

Solution:
Get decision-ready insights from tests in minutes

You’re ready to try something new to reach your customers – design and analyze the test as fast as the market moves; so you can roll out the uplift before competitors catch up.

Solution:
Get evidence your CFO can trust

Solution:
Free up experts to work on new strategies, not just analysis

How it Works

Submit transaction data from your GTM initiative to the GTM intelligence agent, or ask it to pull the data from known sources.

The GTM Intelligence agent will parse your idea into data prep, impact analysis, and insight reporting. Specialized agents will tackle these tasks in sequence. You can then discuss the results with the GTM intelligence agent in normal English – no degree in data science required.

How Syneos Plan to Optimize Thousands of Campaigns

Key Takeaways

Pharma engagement is an incredibly complex marketing mix challenge, pulling from dozens of tactics, both physical and digital.

Need to align all of these tactics towards one outcome: a doctor writing a prescription.

Syneos built a precision optimization framework, and are wrapping this into an Autonomous AI Agent, allowing commercial users to ask optimization questions in natural language.