Speed Up Campaign Hypotheses from 12 Weeks to 1 Week (No Time Travel Required)

Marketing strategy is hard. 

Imagine that you are at the start of your marketing planning cycle or that you have a new product coming to market and you need to devise the strategy for one or multiple campaigns in the following months. 

Where do you begin? In the past, “gut feeling” would have been a great answer. But we live in a data-driven world now and marketing organizations are (thankfully) evolving to make an effort to be data-driven. So marketing planning begins typically with data. Do you have the historical data to analyze past historical patterns? 

Once you have the data, you need team members that can run pattern analysis, identify and surface trends, and define hypotheses. Next, you need to turn these hypotheses into actionable campaigns. All of this takes a significant amount of time, effort and of course, capital allocated to get to the final answers. 

We recently spoke with the Head of Marketing Strategy at one of our enterprise clients and asked how long it takes her team to develop a solid hypothesis. Her response?

“Between 8 and 12 weeks. It takes a team of five or six people nearly 4,000 hours to get from initial idea to something we can act on.”

That time is spent identifying relevant data, enriching it, uncovering behavioral patterns, testing personas, and designing an experimentation framework. It’s complex work, but the cost of moving slowly is steep. Markets change. Opportunities fade. And teams end up reacting instead of leading when hypothesis development is too slow.

The solution: Introducing the Deep Research & Analysis Agent

 

To help teams move faster without compromising on quality, we built the Deep Research & Analysis Agent. Part of our AI Agent ecosystem, this is an LLM powered AI-powered agent that compresses the entire hypothesis-building process into less than a week.

Instead of spending months wrangling data and running manual analysis, marketing teams can now generate high-quality hypotheses grounded in behavioral signals which are ready to inform strategy, testing, and execution.

What the agent delivers

With just a few inputs, the Deep Research & Analysis Agent:

• Identifies the most promising investigation targets based on your customer data
• Performs multi-layered Why-Chain analysis to uncover root causes behind trends and behaviors
• Surfaces actionable insights like target personas, triggers, and affinity patterns
• Delivers fully-formed hypotheses with justifications and experimentation recommendations

How it works

The agent follows a structured, multi-step reasoning process designed for speed and depth:

1. Target discovery: Based on your goals, such as increasing conversions or identifying churn risks, the agent selects 3 to 20 high-potential targets for analysis.
   
2. Why-Chain analysis: For each target, it applies a layered “why” methodology to uncover not just what’s happening, but why it’s happening. This gives marketers the context they need to act with confidence.
   
3. Hypothesis generation: Once the root causes are clear, the agent generates hypotheses tied to specific audiences, channels, timing strategies, and messaging themes.
   
4. Experiment design: The agent wraps everything into a proposed experimentation framework, complete with KPIs and rollout suggestions.

A real-world example: 30% lift in one week

One of our clients recently asked us to help them build a cross-sell campaign. The catch? They needed the hypothesis within a week.

The Deep Research & Analysis Agent quickly analyzed customer behaviors, identified overlapping product affinities and recommended a set of target personas along with timing and message strategies. The campaign was launched based on this one-week planning process.

The outcome: a 30% lift in conversions compared to their last cross-sell effort.

Fast, focused, and future-ready

This agent isn’t just about working faster. It’s about working smarter. It helps teams:

• Move quickly from questions to clarity
• Spot patterns buried deep in customer behavior
• Align around hypotheses that are backed by evidence, not guesswork

And it’s just one example of how agentic intelligence is changing the way marketing teams operate. Instead of waiting weeks to uncover insights, marketers can now start acting on them in days.

See what a week can do

If your team is still spending months to get a hypothesis off the ground, we’d love to show you a faster way. Reach out to learn how the Deep Research & Analysis Agent can help you turn data into action, faster than ever.