Filterbuy: how an online air filter seller grew to $250M a year

Filterbuy sells pleated HVAC and furnace air filters online to families, businesses, and organizations across the United States, and founder David Heacock reported $250M a year in revenue in his November 21, 2024 Starter Story interview.

How it started

Filterbuy began in Talladega, Alabama, in October 2012, according to Heacock’s November 21, 2024 founder interview. He describes the company as a small family business that developed into a national operation selling products and HVAC services. At the time of the interview, Heacock was its sole listed founder.

The rollout started on Amazon, where Filterbuy fulfilled orders for its own products. A few months later, the company opened its own website, initially called airfilterbuy.com; Heacock later removed “air” from the name. He also says he entered the filter and manufacturing business without previous experience in either field.

That sequence matters. Filterbuy did not begin with every filter size or a fully mature manufacturing operation. According to Heacock, the company captured existing online demand first, then expanded its product range as manufacturing capacity came online.

What it sells and how it charges

When the official Filterbuy website was checked on September 30, 2026, its homepage offered HVAC and furnace air filters, mini split systems, and replacement filters labeled “American Made.” Shoppers could browse by size, brand, or type, with numerous standard and custom-size options listed.

The site’s stated price promotion was “Buy Packs, Get Up To 70% Off Each Filter.” The September 30, 2026 homepage wording makes this a maximum promotional discount, not a promise that every filter received the same reduction. The checked homepage text did not provide one standard unit price, a shipping charge, or recurring-billing terms, so it does not support a universal price per filter.

This is a product-led online model: customers choose a filter or system, place an order through the company’s web store, and can qualify for a pack discount at checkout. The site supports the product and discount details above, but it does not publish enough pricing information to reconstruct a typical order total.

How it got its first customers and what kept growth going

Heacock attributes Filterbuy’s early traction to an underserved market in which buyers were already searching for air filters. Its initial customer strategy combined SEO, Google AdWords, and Amazon. He calls the approach “intent marketing”: being available when people were already trying to buy rather than broadly promoting a product they had not yet decided to purchase.

The first sale came quickly. “We made our first dollar within days,” he said in the November 21, 2024 interview. But Heacock distinguishes that first sale from building a profitable business. He says it took a few years to determine the volume required to make the operation work.

Filterbuy also used outside supply to solve an assortment problem. Early on, it worked with a drop shipper for sizes the company could not make itself. He says those orders produced little profit, but the broader catalog helped Filterbuy build a customer base while production expanded. Over time, he says the company converted those drop-shipped customers to its own manufactured products.

That created a staged progression: capture demand through established online channels, cover more sizes while internal production catches up, and shift customers toward products made by the company. The interview does not provide conversion rates, drop-shipping margins, or revenue by channel, so the sequence is clear but its financial contribution cannot be quantified.

He also credits focus and delegation after demand increased sharply during COVID. In the November 2024 interview, he describes the pandemic increase as a turning point after eight years of building the business. His explanation is that the company had developed the skills and organization needed to respond, while remaining focused on its core direction rather than pursuing unrelated opportunities.

The numbers

The dated figures in Heacock’s interview provide a snapshot rather than a complete financial history.

Measure	Reported figure	Date and basis
Start	October 2012	Reported by Heacock in the November 21, 2024 founder interview
Founder count	1	Heacock was the sole listed founder at the November 21, 2024 interview
Employees	1,000	Reported at the November 21, 2024 interview
Annual revenue	$250M a year	Founder-reported in the November 21, 2024 interview

The $250M figure is annual revenue reported by the founder on that date. It is not a profit figure, and it should not be presented as Filterbuy’s current revenue. The interview does not provide a year-by-year revenue series showing how sales developed between the October 2012 start and November 2024.

How it compares

According to 1M.chat’s analysis of 1,997 businesses with founder-reported revenue in Starter Story interviews from 2015 through 2026, 117 cases were classified as Other physical products. Within that same-category group:

Median monthly revenue was $167K.
63% reported at least $1M a year in revenue.
Median employment was 5 employees.
52% were started by one founder.

Among the 89 businesses in that category with channel information, 58% reported organic social media, 55% SEO and organic search, 44% paid ads, and 37% email and newsletters.

Filterbuy’s November 21, 2024 figures place it above the category’s median employee count and within the one-founder group identified by the 52% share. Its reported $250M a year in revenue was also well above the category’s $1M annual threshold. The 1M.chat business-versus-category comparison describes Filterbuy as about 120 times the category median.

Filterbuy’s reported use of SEO and Google AdWords corresponds to two channel groups in the category data: SEO and organic search, and paid ads. That does not establish which channel produced the most Filterbuy revenue. Amazon, another early channel named by Heacock, is not one of the four category labels in the comparison, and the interview provides no channel-specific revenue figures.

The category medians and shares are descriptive rather than predictive. The underlying 1M.chat sample is self-selected: it includes founders who chose to be interviewed, not a random sample of all businesses. The figures show where Filterbuy stood relative to the recorded cases, not what another company is likely to achieve.

What a founder can take from it

The case offers five concrete operating lessons without making the result a promise or a template.

Capture demand that already exists. Filterbuy used SEO, Google AdWords, and Amazon to reach people actively looking for filters. You can identify existing search and marketplace demand before committing resources to a wider product line.
Treat outside supply as a measured bridge. Heacock used a drop shipper to cover sizes Filterbuy could not yet manufacture, then moved those customers toward its own products. You can use third-party supply with explicit limits on margin, assortment, and customer migration rather than treating catalog size as the objective by itself.
Let production capacity govern expansion. Filterbuy added sizes and products as manufacturing caught up. You can map which products the current operation can reliably fulfill before presenting the entire catalog as equally available.
Separate a first sale from scalable economics. Heacock reported making a first dollar within days but taking a few years to understand the volume needed for profitability. You can track whether each order produces enough contribution after product, fulfillment, advertising, and other operating costs rather than treating traffic alone as progress.
Build focus and capacity before demand spikes. He credits Filterbuy’s preparation, concentration, and delegation for its response when demand rose during COVID. You can strengthen the core operation before a surge and avoid adding distractions that draw management away from it.

Filterbuy’s history shows one founder’s reported sequence of customer acquisition, supply expansion, and operational scaling. It does not establish that another founder will reproduce the same result.

Sources

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure