In an exclusive interview with CanadianSME Small Business Magazine, Samuel Martel, Founder & President of The Phoenix Firm, shares how small and mid-sized businesses can transform raw data into practical, profit-driving decisions. Drawing on decades of cross-industry experience, Samuel explains why analytics should not feel intimidating or abstract—but instead serve as a daily operational tool that sharpens strategy, improves margins, and reduces uncertainty.
Interview By SK Uddin
Samuel Martel is the Founder & President of The Phoenix Firm, where he leads with a clear mission: to empower every business—regardless of size—to unlock the full potential of their data. What began as a personal passion for helping organizations see the bigger picture through analytics has grown into a firm dedicated to delivering strategic insights, practical solutions, and measurable results.
With decades of hands-on experience across budgeting, forecasting, supply chain, operations, and finance, Samuel brings a rare combination of analytical expertise and real-world business understanding. He has guided organizations ranging from medical device manufacturers to food distributors and sporting goods companies, tackling challenges across multiple industries with confidence and clarity. No matter the vertical, Samuel and his team have likely solved similar problems before—and know what it takes to move from data to action.
You founded The Phoenix Firm to help businesses move from “numbers on a page” to real-world decisions. What originally inspired you to start the company, and how do you explain the value of data analytics and literacy to SMB owners who don’t see themselves as “data people”?
I was inspired to start The Phoenix Firm after seeing how companies of all sizes struggled to turn their numbers into meaningful insight. Even large organizations with sophisticated systems often lacked clarity about what their data was actually telling them about performance, bottlenecks, and opportunities. If well-resourced companies were struggling, I knew SMBs faced an even steeper challenge.
When I speak with owners who don’t see themselves as “data people,” I explain it this way: databases are like dictionaries, but analytics is the novel. It’s valuable to have all the words, but unless they’re structured into a story, they lack context and meaning. Data on its own is just information. Analytics turns it into direction.
For SMBs, the value shows up in practical ways—cost efficiency, time savings, and process improvements. When you understand what drives margin, delays, or customer churn, you make better decisions faster. You don’t need to be a data scientist; you need the ability to ask better questions and interpret the story your business is already telling. That literacy is what turns “numbers on a page” into confident action.
Many small businesses are interested in selling on Amazon but get overwhelmed by the complexity. From your work with clients, what are the most common mistakes you see—and what data should SMBs actually be watching to turn Amazon from a gamble into a predictable revenue channel?
The most common mistake I see is underestimating the importance of education. Amazon provides a tremendous amount of guidance within Seller Central, yet many businesses rush in without fully understanding fees, logistics, advertising mechanics, or compliance requirements. Taking the time to research your specific category and cost structure turns guesswork into strategy.
Another major misstep is underinvesting in visibility and presentation. Amazon is competitive—you need to budget for advertising and build professional, conversion-focused listings. There’s always a tension between speed to market and perfection, but the goal should be a strong launch with a solid listing that you continuously improve. Amazon’s own recommendations, A/B testing tools, and even generative AI can help refine content and positioning over time.
To make Amazon predictable rather than a gamble, SMBs should closely track a few core metrics: conversion rate, advertising cost of sale (ACoS), click-through rate, contribution margin after fees and ads, and inventory sell-through. When you understand how traffic, conversion, and margin interact, you can forecast performance and scale intentionally.
Amazon rewards disciplined operators. When you combine education, professional execution, and consistent metric tracking, it becomes a controllable growth channel—not a risk.
You often talk about dashboards and reports becoming part of a client’s daily routine, shaping conversations and priorities. What does “good” reporting look like for an SMB, and how can leaders ensure their data tools are driving behaviour, not just generating more noise?
In one word: insight.
Data becomes noise when it’s unstructured and disconnected from decisions. But when it’s organized around clear business priorities, it becomes a powerful guide. Many SMB leaders get lost in spreadsheets—rows, columns, endless tabs. That’s often why analytics feels intimidating. They think the data itself is the outcome, when in reality, data is simply the path to the outcome.
Good reporting starts with clarity. What decision is this report meant to inform? A strong SMB dashboard should focus on a small number of actionable metrics tied directly to goals—margin, cash flow, customer acquisition cost, on-time delivery, or inventory turnover. If a number doesn’t influence behaviour, it probably doesn’t belong on the dashboard.
Leaders can ensure data tools drive behaviour by embedding them into regular routines: weekly reviews, team meetings, and operational check-ins. Metrics should spark questions and actions, not just observation.
Finally, consistency and accuracy are non-negotiable. If reporting is unreliable, decisions based on it will be flawed. When reports are trusted, focused, and tied to action, they stop being background noise and start shaping performance.
You’ve seen firsthand how tightly connected data and supply chain performance are. For a small or mid-sized business, what are one or two practical supply chain best practices—grounded in data—that can quickly improve margins, reliability, or customer satisfaction?
One of the biggest lessons I’ve learned is that supply chain performance isn’t just about logistics—it’s about visibility. For small and mid-sized businesses in particular, two data-grounded practices can create fast, measurable impact.
First, focus on demand visibility and forecasting discipline.
Many SMEs rely on gut feel or simple historical averages to plan purchasing and production. Even a lightweight, data-driven forecasting approach—looking at 12–24 months of sales history, seasonality, and recent trends—can significantly reduce stockouts and excess inventory. When you align purchasing to actual demand patterns instead of intuition, you improve cash flow, reduce write-offs, and increase service levels almost immediately. Cost effective tools exist when you know where to look.
Second, track a small set of high-impact operational metrics and review them consistently.
You don’t need a complex dashboard. Start with a few core KPIs: on-time delivery, inventory turnover, order fill rate, and supplier lead-time variability. The key is not just measuring them, but reviewing them on a set cadence and using the data to drive decisions—whether that’s renegotiating supplier terms, adjusting safety stock, or refining reorder points. Small improvements in these areas compound quickly into better margins and more reliable customer experience.
You’re hosting a webinar on selling on Amazon and run a weekly podcast on business topics. Based on those conversations, what mindset shift do you think SMB owners most need to make about data and technology if they want to stay competitive over the next few years?
From my conversations with SMB owners—through conferences, our Amazon webinar, and weekly podcast—the biggest mindset shift they need to make is this: data and technology are revenue drivers, not support tools.
Too many small businesses still treat data as something you review after the fact—reports for accounting or dashboards you check when something goes wrong. The shift is moving from reactive reporting to proactive decision-making. On platforms like Amazon, the sellers who win aren’t just those with great products—they’re the ones constantly optimizing pricing, monitoring conversion rates, adjusting ad spend, and managing inventory based on real-time data. Data isn’t back-office—it directly drives growth and profitability.
The second shift is embracing experimentation. Technology has made testing faster and more affordable than ever. SMBs don’t need perfect information; they need the discipline to run small experiments, measure results, and iterate quickly.
Over the next few years, the real divide won’t be between big and small companies—it will be between businesses that use data weekly to guide decisions and those that rely mainly on instinct. Mindset, more than tools, will determine who stays competitive.
Disclaimer:
The views and opinions expressed in this interview are those of the interviewee and do not necessarily reflect the official policy or position of CanadianSME Small Business Magazine. Our platform is dedicated to fostering dialogue and sharing insights that inspire and empower small and medium-sized businesses across Canada.
