How to Tell Whether a $10,000 SEO Retainer Can Pay for Itself

In a recent LinkedIn post, Rob Hoffman discusses how businesses can estimate whether a $10,000 monthly SEO agency retainer could generate enough customers to cover its cost. His post lays out a four-number calculation and argues that the quality and intent of search traffic matter more than a large visitor count.

“a $10,000/month SEO agency can pay for itself with about 80 visitors a month.”

Starting with the economics

Hoffman’s calculation begins with annual agency spending: $10,000 a month becomes $120,000 a year. He then uses an example customer value of $18,000 over the customer’s lifetime. At that value, seven new customers would generate $126,000, slightly more than the annual retainer.

According to Hoffman, the next two figures are the share of website visitors who book a sales call and the share of sales calls that become customers. Using his conservative examples of 5% and 15%, respectively, seven customers require about 47 calls, and those calls require roughly 940 visitors over a year—around 80 each month.

Why visitor intent matters

The headline figure may sound surprisingly small, but Hoffman’s model assumes the visitors are likely buyers. He contrasts a search by someone comparing products with a broader query from someone still learning about a category.

“the right 80 are people searching to buy.”

That distinction is central to his argument: traffic volume alone cannot show whether SEO is supporting revenue. A page can attract thousands of visits from people seeking basic information without generating sales conversations, while a smaller audience searching for a product comparison may be closer to a purchase.

Questions for an agency pitch

Hoffman’s framework gives prospective clients a way to examine an agency’s traffic forecast. Rather than focusing only on how many visits a campaign might attract, businesses can ask which search queries are expected to drive them and whether those queries indicate buying intent.

“if an agency pitches you a big traffic number, ask them which searches it comes from.”

A useful estimate, with assumptions

The figures in Hoffman’s post are examples, not a universal forecast. The result depends on the business’s actual customer value, visitor-to-call rate, and call-to-customer conversion rate. If any of those inputs differ, the traffic needed to recoup the investment changes as well.

Still, Hoffman’s approach offers a practical starting point for evaluating SEO proposals: connect spending to customer economics, then test whether the proposed searches can attract people likely to buy. His post closes by offering interested readers a personalized roadmap, but its broader message is to assess SEO traffic by its potential to produce customers, not by volume alone.