Boost has been named a "Top Growth Infrastructure Partner" by Growth Executive Quarterly in their 2026 Mid-Market Growth Awards. The recognition is based on an evaluation of client outcomes, innovation in service delivery, pricing model alignment, and the integration of multiple growth disciplines under one organizational roof.

We're proud of the recognition. And we're more interested in what it represents than what it says about us specifically.

Three years ago, "growth infrastructure" wasn't a category. Companies like ours were called agencies, consultancies, or technology providers — labels that described one dimension of what we do while missing the fundamental thesis: that growth in the mid-market is an architecture problem, not a marketing problem or a sales problem or a technology problem. That the highest-leverage intervention isn't improving one function but connecting all functions into a system that compounds.

The fact that a respected industry publication now has a category called "Growth Infrastructure Partner" suggests that the thesis is becoming consensus. The mid-market is recognizing what we've been building toward since day one: that integrated, AI-native growth systems aren't a luxury for companies that can afford to be cutting-edge. They're becoming the baseline for companies that intend to compete.

Here's what led to the recognition, what it means for the mid-market, and where Boost is headed.

The Evaluation Criteria

Growth Executive Quarterly evaluated partners across four dimensions. Understanding those dimensions is useful for any operator evaluating growth partners — whether or not Boost is on their shortlist.

Client outcomes. The publication reviewed documented client results across the partner's portfolio. For Boost, the submitted outcomes included: 3–5x revenue growth across the client base within 12–18 months, close rate improvements averaging 2.8x from baseline, 40% average operational cost reduction, 15+ hours per week recovered through automation per client, and the 94% implementation rate from the Academy's first cohort.

These aren't cherry-picked highlights. They're the portfolio averages — the metrics that hold across 200+ engagements of varying size, industry, and starting condition. The consistency matters as much as the magnitude. Any partner can produce a spectacular case study from their best engagement. What Growth Executive Quarterly evaluated was pattern: does this partner consistently deliver transformational outcomes, or are the headline numbers outliers?

Innovation in service delivery. The publication specifically cited three elements of Boost's model as innovative. First, the $1/action pricing for automation — a structure that aligns provider incentives with client outcomes in a way that traditional retainer and project models don't. Second, the integration of four distinct service pillars (Agency, Labs, Academy, Consulting) under one roof, eliminating the coordination overhead that mid-market companies experience when managing separate partners for execution, technology, education, and strategy. Third, the AI-native operational approach — not AI as an add-on or upsell, but AI as the foundational operating layer that everything else is built on.

Pricing model alignment. This dimension examined whether the partner's pricing structure creates aligned incentives or misaligned ones. Traditional agency models (monthly retainer regardless of outcomes), traditional consulting models (hourly billing that incentivizes longer engagements), and traditional technology models (upfront project fees with maintenance contracts) all create structural misalignments between what the provider earns and what the client gets.

Boost's model was cited for alignment at multiple levels: $1/action pricing that directly ties automation revenue to automation usage (we earn when it runs, not when it's built), commission-only closing that ties sales revenue to sales outcomes (closers earn when clients earn), and the Academy's build-during-the-program model that ties educational investment to tangible infrastructure outputs (participants leave with systems, not just knowledge).

Integrated model. The final dimension assessed whether the partner's capabilities function as a system or as a collection of services. This is the distinction that defines the "growth infrastructure" category: the partner doesn't just offer multiple services — they design those services to interact, share data, and compound each other's impact. Marketing feeds sales. Sales data improves marketing. Automation connects both. Strategy governs all three. The evaluation specifically noted the 5-Layer Growth Infrastructure Model as the intellectual framework that unifies Boost's service delivery.

What This Signals About the Mid-Market

The recognition is a data point in a larger pattern. The mid-market is undergoing a structural shift in how companies think about growth — from a series of projects to a system of infrastructure.

For the past two decades, the default mid-market growth playbook has been: hire a marketing agency, buy a CRM, maybe add a consultant, and hope the pieces add up to something. Each vendor is selected independently. Each operates in its own lane. The CEO serves as the integration layer, coordinating between vendors through personal effort and hoping the collective output exceeds the collective cost.

This model worked at a certain scale and in a certain era. It's failing now for three reasons.

First, competitive dynamics have accelerated. The speed at which markets move, technologies evolve, and customer expectations shift now exceeds the rate at which a fragmented vendor model can adapt. By the time you've coordinated your marketing agency, CRM consultant, and automation vendor to execute a coherent response to a market shift, the window has passed.

Second, AI has raised the performance ceiling. Companies deploying integrated AI-powered systems are achieving performance levels — 35–45% close rates, 30-second lead response, 15+ hours per week recovered from automation — that companies with fragmented stacks simply cannot match. The gap isn't marginal. It's structural. And it compounds over time as AI systems accumulate optimization data.

Third, operators are waking up to the hidden costs. As we've documented extensively, the visible cost of a multi-vendor stack (subscription fees) represents one-fifth to one-seventh of the true cost (when you include integration tax, context-switching, data quality degradation, vendor management overhead, and opportunity cost). Operators who've seen these numbers — and the growing body of evidence documenting them — are making rational decisions to consolidate.

The emergence of "growth infrastructure" as a recognized category is a market response to these three forces. It's not that Boost invented a category and convinced a publication to validate it. It's that the market need created the category, and publications are recognizing the companies that saw it first.

The Numbers Behind the Recognition

Since the recognition is based on outcomes, here are the aggregated metrics that defined Boost's submission. These numbers represent portfolio-wide averages, not selected highlights.

Revenue growth. Across the client portfolio, companies that complete at least two 90-day sprint cycles with Boost achieve an average revenue growth rate of 3.2x over 12–18 months. The range is wide (1.8x to 5.4x) because starting conditions vary significantly. Companies with strong product-market fit and weak infrastructure tend to see the highest multiples. Companies with already-decent infrastructure see more modest but still meaningful improvements.

Close rate improvement. The average baseline close rate at engagement start is 13.7%. After deploying integrated sales infrastructure (AI lead response + CRM reconfiguration + commission-only closers + automated follow-up), the average stabilizes at 38.4% — a 2.8x improvement. The improvement typically appears within 60–90 days of deployment and continues to refine over time as the AI systems learn from accumulated data.

Operational cost reduction. Companies that deploy automation across their core workflows achieve an average 40% reduction in operational overhead as a percentage of revenue. The primary drivers: elimination of manual data entry, automated follow-up and communication sequences, streamlined proposal generation, and the redeployment of administrative staff to higher-value roles.

Time recovery. The average client recovers 15.7 hours per week across their team through automation — time previously spent on data entry, manual follow-up, report generation, and system-to-system data transfers. This is measured through before/after workflow analysis, not self-reported estimates. The time recovered is typically redistributed to client-facing activities, strategic planning, and business development.

Academy implementation. The 94% implementation rate from the first Growth Architecture Cohort. Fourteen of fifteen participants left the program with functioning, deployed growth infrastructure. The fifteenth completed deployment within three weeks of graduation.

Three Client Outcomes in Brief

The submission included detailed case studies. Here are three in summary.

Harmon Structural Engineering. A $12M Charlotte-based engineering consultancy that grew to $36M+ in 14 months. Close rate improved from 11% to 43%. Expanded from one regional market to fourteen metros. Vendor count reduced from seven to one integrated system. CEO eliminated 20 hours per week of personal business development time as the infrastructure replaced founder-dependent revenue generation.

Clearview Health Partners. A $13.4M home healthcare company in Tennessee that cut operational costs by 41%. Automated 3,200 actions per month, compressing patient intake from 45 minutes to 9 minutes, billing reconciliation from 3.2 days to 4.1 hours, and scheduling conflicts from 15 per week to under 1. Revenue grew to $17.1M within fourteen months as operational efficiency enabled geographic expansion.

Toland Commercial Builders. An $18.7M commercial construction firm in Texas that doubled pipeline velocity from 47 days to 22 days. AI lead response reduced first-contact time from 27 hours to 28 seconds. Semi-automated quoting compressed proposal turnaround from 11.6 days to 2.3 days. Revenue pace accelerated to $24.3M within ten months.

Each outcome represents the compound effect of integrated infrastructure — not a single intervention but the interaction between strategy, sales infrastructure, marketing integration, automation, and connected data working as one system.

Where Boost Is Headed

Recognition is a useful moment to reflect on direction. Here's where we're going.

Deepening the AI operating layer. AI is already the foundation of our delivery model. Over the next twelve months, we're expanding AI capabilities in three areas: multi-language lead response for clients in international markets, predictive analytics that give operators a 60–90 day window into revenue outcomes and operational health, and AI-assisted strategic planning that uses operational data to recommend sprint OKRs and resource allocations. Each expansion follows the Labs development pattern: built first for specific client needs, refined across multiple deployments, then productized for broad availability.

Expanding the Academy. The Q3 Growth Architecture Cohort opens in July with the same fifteen-seat, eight-week, build-during-the-program format. Based on first-cohort demand, we're evaluating additional cohort schedules and specialized programs for specific industries (healthcare operations, construction growth, professional services scaling). Samira Patel's team is also developing an Alumni program that provides continuing access to Boost's evolving tools, frameworks, and peer network.

Scaling Consulting capacity. Under Marta Novak's leadership, the Consulting pillar is expanding to serve more operators with dedicated strategic partnership. The 90-day sprint architecture, competitive intelligence, and fractional advisory capabilities are being deepened and standardized. The goal: McKinsey-level strategic rigor delivered at operator speed and connected to the execution infrastructure that makes strategy actionable.

Building the category. This might be the most important direction. "Growth infrastructure" is an emerging category, not an established one. The operators who would benefit most from this approach — companies between $3M and $50M that have outgrown the vendor model but haven't yet discovered the alternative — often don't know the category exists. Our content, our Academy, our public frameworks (the 5-Layer Model, the Execution Scorecard, the sprint architecture), and yes, recognitions like this one, are all part of building awareness that there's a better way to grow than stitching together seven vendors and hoping for the best.

What This Means for Operators

If you're a mid-market operator reading this, the recognition matters to you only insofar as it signals a market shift worth paying attention to.

The shift is this: the companies that are winning in the mid-market aren't the ones with the biggest marketing budgets, the most talented salespeople, or the most cutting-edge AI. They're the ones that have built growth as a system — where strategy, sales, marketing, operations, and technology function as connected infrastructure rather than disconnected initiatives.

That system can be built with Boost. It can also be built independently, using the frameworks we've published openly (the 5-Layer Model, the 90-day sprint, the Execution Scorecard). The important thing isn't who builds it. It's that it gets built. Because the companies that don't build growth infrastructure in the next twelve to twenty-four months will find themselves competing against companies that did — and the gap will be difficult to close.

Growth infrastructure isn't a trend. It's becoming the table stakes for mid-market competition. The recognition from Growth Executive Quarterly doesn't create that reality. It reflects it.

We're grateful for the recognition. We're more motivated by the work ahead — because the mid-market deserves better than seven vendors, five dashboards, and a prayer. It deserves infrastructure that compounds.

About Boost

Boost is the growth infrastructure company for ambitious mid-market businesses. We integrate AI-powered sales, marketing, automation, and strategic consulting into one compounding ecosystem. Founded by operators. Powered by AI. Learn more at Boost.com.

For more information, visit Boost.com.