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GrowthFactor Agent

You scored the sites. Now ask which one to pick.

GrowthFactor Agent lives inside your deal dashboard. Ask it to rank your pipeline, flag cannibalization risks, compare finalists, or write the committee memo. Scores, demographics, and portfolio overlap across every deal, with the reasoning behind each recommendation.

How It Works

From pipeline to shortlist in one prompt.

Open the agent from your deal dashboard. Ask a question in plain English. It pulls data across every deal in your pipeline and gives you a ranked answer with the data behind it.

01

Ask your pipeline a question

Type a natural-language question from the deal dashboard. "Which 3 of my 11 deals in Review should move to LOI?" The agent understands your pipeline stages, deal context, and portfolio.

02

Agent pulls data across every deal

Scoring, demographics, cannibalization, foot traffic — the agent runs 20+ API calls in parallel across your entire pipeline. What takes an analyst an hour takes the agent 30 seconds.

03

Get a ranked recommendation

A scored shortlist with clear reasoning. Not just which deals to advance — which to pass on and why. Cannibalization overlaps, demographic mismatches, and portfolio conflicts surfaced automatically.

Conversational Intelligence

One conversation. Start to finish.

The agent keeps context across follow-ups. Start with a broad pipeline question, drill into a specific deal, then ask it to write the memo. No re-entering data. No starting over.

01

Which 3 of my 11 deals should move to LOI?

Ranked shortlist with scores, demographics fit, and cannibalization risk for every deal.

02

Dig deeper on Okeechobee Blvd. What are the risks?

Risk analysis comparing the candidate against your best-performing existing store.

03

Write me a recommendation for the investment committee.

A clean paragraph with specific data points, ready to copy into an email or slide deck.

Each follow-up builds on the previous context. No re-entering data, no switching tabs, no starting over.

What You Can Do

Every pipeline question, answered.

The agent has full context on your deals, scores, portfolio, and org criteria. Ask it anything you'd ask your best analyst.

01

Rank and prioritize deals

"Which of my Review deals should move to LOI?" The agent scores, compares, and ranks every deal against your criteria — then tells you which ones deserve your time.

02

Flag cannibalization risks

The agent checks every candidate against your existing portfolio. If a new site overlaps 20–30% with a current store, you'll catch it before the LOI.

03

Deep-dive on a single deal

"What are the risks on Okeechobee Blvd? How does it compare to our best-performing store?" Follow up in the same conversation. The agent already has context on every deal.

04

Generate committee deliverables

"Write me a one-paragraph recommendation I can send to the investment committee." The agent already has the data, the scores, and the reasoning. The output is the deliverable.

05

Spot patterns across the pipeline

Cluster effects, demographic skews, market concentration — patterns that only surface when you look at the full pipeline together, not deal by deal.

06

Compare against the existing portfolio

"How does this site stack up against our top 10 performers?" The agent benchmarks candidates against stores you already operate, with matched demographics and trade zone analysis.

Why This Matters

The bottleneck is the evaluation, not the data.

Your team evaluates deals one at a time. Click in, read the scores, check cannibalization, compare in their heads, write the memo. An hour per deal, minimum. The agent does the same work across every deal in your pipeline simultaneously.

One hour becomes two minutes

Eleven deals evaluated, ranked, and explained in a single prompt. The agent doesn't get faster per deal — it evaluates all of them at once.

Patterns that surface at the portfolio level

Evaluating deals individually hides portfolio-level patterns. Across the full pipeline, the agent surfaced that most Boston-area deals had 20–30% cannibalization against an existing store — the kind of finding that only appears when you look at everything together.

From analysis to action in the same conversation

Evaluate the pipeline, drill into a finalist, write the committee recommendation — without opening a new tab or re-entering context. The output is the deliverable.

2 min

Eleven deals ranked from one prompt

11

Deals evaluated simultaneously from one prompt

Zero

New tools to learn — it lives in your dashboard

FAQ

Common questions

See the agent work your pipeline

We'll run the agent on a live deal pipeline. Not a canned demo — real deals, real scores, real recommendations.