Spencer Muhonen on the AI Agent That Takes Wasted Ad Spend Back to Meta and Google

Picture a brand spending $100,000 a month on Meta ads. Say $92,000 of it reaches the people and places the brand is targeting. However, the rest goes to bots and out-of-geo clicks.

That $8,000 was still billed. In Spencer Muhonen's experience, almost no one asks for it back.

Spencer is an account executive at Dash.fi, a corporate charge card backed by Mastercard and built for brands that spend heavily on ads, AI and shipping. Its cardholders include affiliates paying for their own traffic, offer owners, agencies and e-commerce brands.

Dash.fi is also a new Everflow partner, which is how this conversation came about.

This masterclass is about money those businesses are already entitled to and rarely collect. Spencer walks through two AI agents that come with the Dash.fi card: one that flags ad spend lost to bots and out-of-geo traffic and takes the case to the ad platform, and one that audits shipping for late deliveries, damaged boxes and overcharges. Both follow the same idea. When a pattern is clear enough for a machine to spot, a machine can also do the chasing. For any team paying for traffic, the signals Spencer describes are worth checking on your own data too.

Spencer's AI Stack

Dash.fi Ad Pay ProtectionDash.fi shipping audit agentMetaGoogleTikTokUPSFedEx

The bigger of the two leaks is ad spend, so that is where Spencer starts.

How Ad Pay Protection Separates Real Visitors From Bots

Spencer's starting point is that no advertiser gets 100% of its monthly budget in front of the right audience and the right geographies. The platforms bill for bot traffic and out-of-geo ads anyway, and in his view almost no advertiser is flagging it. He goes further: when a platform charges for traffic like that, it is "almost a breach of contract on Meta or Google's part."

Ad Pay Protection starts with what Spencer describes as a non-invasive, very lightweight pixel placed in the header of a brand's website. The pixel collects data on the site's traffic so Dash.fi can tell real visitors from invalid and bot traffic.

The signals are simple. A real visitor scrolls, clicks, and might add something to a cart. Bot traffic, in Spencer's words, doesn't "even register a full second visiting the page," and there is no scroll event.

When the data shows spend going to invalid or out-of-geo traffic, Dash.fi takes the case to the ad platform, Meta or Google, and Spencer says the same opportunity applies on TikTok. He says the recovery can take up to two or three months with Meta, and that on average, the product recovers 3% to 6% of an advertiser's monthly ad budget. The recovered funds go back into the brand's budget.

Over time, the pixel also starts blocking bot traffic before it is paid for, so the refund shrinks because less is being wasted. In his example, a brand losing $8,000 a month might later be flagged only for $2,000 of out-of-geo spend, with $6,000 of bot traffic already blocked.

For teams running partner programs on Everflow, the same question applies to Partner traffic. A visitor who never scrolls, or never stays a full second, is a signal worth checking. Everflow's AI Playbook has a recipe for catching affiliate fraud with your own data and one for flagging conversions that come in too quickly after a click.

Ad spend is not the only place money leaks after a sale. For brands that ship physical products, the same idea applies once the order leaves the warehouse.

The Shipping Audit Agent

Dash.fi's second AI product works on shipping. It is built for e-commerce brands that ship frequently and heavily, whether that is nutra products or golf clubs, and especially brands shipping with UPS or FedEx.

Things go wrong in shipping all the time. A package shows up late, or the box arrives broken. Spencer is clear that e-commerce brands are "absolutely entitled to some form of rebate and refund" from FedEx and UPS when that happens.

Brands upload their carrier agreements and rate agreements with UPS and FedEx to the agent. It flags late deliveries and items broken in transit on individual shipments, and it checks what the carrier actually charged against the rates in the brand's own agreement, to catch shipments where FedEx or UPS may be overcharging. Spencer adds that the same review can open the door to better rates with the carriers.

Spencer sees a second benefit that reaches the customer. Because the agent is flagging late and damaged shipments one by one, the brand can offer the end buyer more security on their order.

Put the two agents side by side, and the picture for a traditional e-commerce brand is money coming back from both ends of the business.

Two Leaks, One System

Spencer describes the two agents as complementary. Ad Pay Protection works the Meta, Google and TikTok side, with the upside he puts at up to 6% of monthly ad spend. The shipping audit agent works the FedEx and UPS side, flagging the refunds a brand is owed and catching overcharges shipment by shipment. Neither asks the brand to build anything. Both come with the card.

What connects them is the $8,000 from his opening example. It was billed, it was owed back, and nobody was going after it. The idea behind both agents is the same: find the money that is leaking, and put a system on it.

If you want to run the same kind of check on your own traffic, the Everflow AI Playbook has copy-paste prompts for the tasks affiliate and performance marketing teams run every week. Start with How do I catch affiliate fraud with my data?