A creative refresh that once consumed an entire 40-hour work week across hundreds of local ads now takes a small fraction of that time, according to LT.agency, which published the results of its first year running campaigns through Fluency. The reduction is put at 98%. Every figure in the announcement comes from the agency or the vendor, and none of it is independently audited.

The announcement crossed Business Wire today at 9:00 AM Eastern Daylight Time from Burlington, Vermont, the headquarters city of Fluency. LT.agency, a full-service marketing agency founded more than 60 years ago, has been working with the platform since July 2025. The release frames the outcome in headcount terms: LT has grown its client portfolio without adding staff to run the campaigns, while keeping the localized strategies it sells to clients in casinos and gaming, franchise and retail, healthcare and wellness, automotive dealers and homebuilders.

That framing is where the announcement is most interesting, and also where it is least precise.

What the 98% figure actually measures

The baseline is specific. Before the partnership, according to the release, a single creative refresh - swapping a photo, updating a link - across hundreds of local ads for LT's multi-location retail and homebuilder clients could take an entire 40-hour work week. The 98% reduction is measured against that task, not against the agency's total operating cost, its billable hours, or its client outcomes.

This is a throughput metric. It describes how long a repetitive execution task takes, and nothing else. The release does not disclose how many such refreshes LT runs in a month, how many accounts the figure covers, or whether the comparison holds across the agency's full book of business or only the multi-location retail and homebuilder accounts named in the same sentence.

The mechanism is described in more detail than most vendor case studies bother with. LT automates campaign setup and launch, budget pacing, account monitoring and reporting through what the release calls the platform's deterministic agents, which carry out operational work the team previously did by hand. Configuration sits in Fluency Blueprints, described as preset templates capturing LT's own rules and strategy, allowing campaigns to update automatically as real-world conditions change rather than waiting for a strategist to notice.

The deterministic framing is not new language from this vendor. Fluency separates the AI layer that generates and recommends from the execution layer that touches live budgets, reserving spend authority for deterministic agents alone across roughly $3 billion in managed spend. The LT case study is the first customer-side illustration of what that architecture produces in practice.

The homebuilder example

One scenario in the release is concrete enough to test the claim's logic. For a homebuilder client, the system flips a new community's ads from a Coming Soon message to Now Selling at the moment the community is ready, rather than at a fixed monthly date when the team has the bandwidth to make the change.

The operational point is that the constraint being removed is a scheduling constraint, not a capability one. An agency with unlimited staff could always have made that change the same day. What automation removes is the queue. The release extends this to the consumer side: a homebuyer searching for a house sees a Now Selling listing when it is real, rather than a stale Coming Soon ad for a community that is already selling.

Whether that accuracy translates into measurable performance is asserted rather than demonstrated. No figures are attached to the homebuilder example specifically.

Performance claims from one unnamed client

The release does attach figures to a different account. For one multi-location client, according to LT, the move to agentic automation drove a 456% year-over-year increase in form submissions, a 71% reduction in cost per lead and a 14% decrease in cost per click.

Several things are absent. The client is not named and its vertical is not identified. No absolute volumes are given, so a 456% increase could represent a move from a small base or a large one. No media budget figure accompanies the comparison, which matters because form submission volume responds to spend independently of execution speed. No campaign structure change is described. The comparison period is stated only as year over year.

A 71% reduction in cost per lead alongside a 14% reduction in cost per click implies a substantial improvement in landing page or form conversion rate, since the two metrics move on different denominators. That gap is arithmetically consistent, but it points to changes beyond ad refresh cadence, and the release does not describe what those were.

Lead-quality questions apply here as they do to any form-submission metric. Research covered by PPC Land has documented rising invalid traffic rates on lead generation formats, with bot-submitted records carrying plausible contact data. Nothing in the announcement indicates whether the 456% figure was filtered for invalid submissions.

Headcount grew, in a different department

The release headline says the agency scaled without adding headcount. Four paragraphs later, it says LT hired three new members of its creative team in a single quarter.

Both statements can be true, and the distinction is the substance of the story. Headcount did not stop growing at LT. It moved. Resources that had been tied up in ad operations execution were redirected toward creative, and the hiring followed the budget. The release also states that no one on LT's digital media team has left the agency since the Fluency adoption, a retention claim covering roughly 13 months that cannot be verified from outside the agency.

Four priorities are listed for the partnership. Unlocking new room to grow covers the ability to run every local campaign a client wants within budget limits, and to take on larger accounts without hiring. Redirecting reclaimed time refers to the end of extended hours around the first of the month for routine campaign updates, with that time going to deeper search optimization. Building reliability rests on the argument that fewer manual, repetitive tasks produce fewer errors. Reallocating resources to creative is the one with a number attached.

"With Fluency, I can promise clients speed, accuracy and transparency. Before, I had to sacrifice something," said Jess Petersen, VP of Digital Media at LT.agency, in the announcement. "Once you build a system that works, you can replicate that excellence across any industry. That's what Fluency does, turning a month of manual labor into an engine that delivers our best work for every client."

Chase Lane, CEO of LT.agency, put the commercial case in staffing terms. "If you are running an organization that you want to scale, you have to think differently about the way you deploy your processes and your tech stack," he said. "We can now serve more clients at a higher scale, while slowing the rate at which we need to hire and deliver the same or higher quality of work along the way. That is a win, and I can confidently say Fluency has made LT a stronger agency."

The phrase that carries the most weight there is slowing the rate at which we need to hire. That is a different proposition from eliminating hiring, and it is the more defensible one.

Heather Chevalley, VP of Growth at Fluency, framed the vendor position. "LT.agency's story is a prime example of what happens when an agency pairs its own expertise with the infrastructure to execute it at scale," she said. "The agencies getting the most out of agentic advertising are the ones using the time it frees up to invest in their people and their clients."

A different headline number from the same study

The release cites Fluency's 2026 Agency AdOps Benchmark Report for the claim that 94% of advertising executives name difficulty scaling operations as their biggest challenge.

That statistic did not appear in the coverage when the study was published. PPC Land reported in March 2026 that the same report found 71% of ad operations teams saying manual processes were putting client campaigns at risk, drawn from more than 170 United States agencies and in-house teams, alongside 87% still pacing budgets by hand, average strategist workloads of 33 client accounts, and 39.75 hours per strategist each month consumed by routine optimization and pacing tasks.

The 94% figure is a different cut of the same vendor-commissioned dataset, selected for a release about scaling rather than about risk. The prior year's edition of the study documented agencies seeking to lift account manager portfolios from 35 clients to 64 without expanding teams, with teams then spending 46 hours monthly on manual campaign changes. Across three editions, the direction of travel in the vendor's own research has been consistent, and so has the commercial conclusion it supports.

Scale figures that have not moved

Fluency's corporate numbers in the release are identical to those it has published since late 2025: $3 billion in annual ad spend, more than 250,000 monthly campaigns, 150 agencies, more than 50,000 locations. The company raised a $40 million Series A in 2025 from Integrity Growth Partners and ranked on the Inc. 5000 in 2026 for a fourth consecutive year. Its founding team has worked in online advertising since 1998, and it was named a finalist for Technology Innovation in the 2024 Amazon Ads Partner Awards.

The same $3 billion and 250,000 campaign figures appeared when TikTok made its Automotive Ads category available through the platform in January 2026, and again on August 11 when the company restated its governance architecture. A static managed-spend figure across roughly nine months is not evidence of stagnation, since these numbers are typically rounded and updated infrequently, but it does mean the LT announcement adds no new scale disclosure.

What has changed across those releases is vocabulary. In December 2025 the company described itself as a Digital Advertising Operating System. It now describes itself as an Agentic Advertising Operating System. The platform architecture described in the LT release, with deterministic agents executing against templated rules, is closer to structured automation than to the autonomous decision-making the word agentic connotes elsewhere in the market.

Why this matters

The agency economics here are the point, and they run against the direction of a great deal of 2026 industry data. Basis research published in April found that 87.3% of agency professionals consider the traditional agency model broken or close to it, with 39.9% of agencies reporting layoffs in the previous 12 months and AI-driven efficiency cited as a driver. Confidence in the future of digital advertising fell below 50% for the first time in that survey's history.

LT's account describes the same efficiency mechanism producing a different staffing outcome: reallocation rather than reduction. One agency's experience does not settle which pattern dominates, and the release comes from the vendor whose product is the subject. But the case is unusually specific about where the reclaimed capacity went, which is more than most automation case studies disclose.

The execution-layer question also connects to a broader adoption pattern. Research published on August 19 found that marketers apply AI heavily to reporting and analysis while restricting it sharply at the point where money moves, with campaign setup at 40% and budgeting and bidding at 40%. Fluency's deterministic execution layer is a direct answer to that reluctance, and LT's case study is the customer-side evidence the vendor is now offering for it.

For media buyers evaluating similar systems, the useful figures in this announcement are the operational ones: a 40-hour baseline for a bulk creative refresh, a 98% reduction against it, and a documented shift of three headcount from execution into creative in one quarter. The performance figures, at 456%, 71% and 14%, rest on a single unnamed client with no disclosed baseline, no budget context and no independent verification. Those two categories of claim carry very different evidentiary weight, and the release presents them side by side.

LT plans to expand automated campaign management across more of its retail, homebuilder and other multi-location accounts in the coming year, and to adopt new Fluency capabilities as they are released, according to the announcement. No specific capabilities, timelines or account counts are named.

Timeline

Summary

Who: LT.agency, an independently owned full-service marketing agency founded more than 60 years ago, working with Fluency, the Burlington, Vermont company that markets an Agentic Advertising Operating System for search, social and programmatic advertising. Jess Petersen, VP of Digital Media at LT.agency, and Chase Lane, CEO of LT.agency, are quoted alongside Heather Chevalley, VP of Growth at Fluency.

What: First-year results from the partnership, reporting a 98% reduction in the time LT spends updating ads across local markets, measured against a baseline in which a single bulk creative refresh could take a 40-hour work week. For one unnamed multi-location client, the agency reports a 456% year-over-year increase in form submissions, a 71% reduction in cost per lead and a 14% decrease in cost per click. LT also reports hiring three creative team members in a single quarter and no departures from its digital media team since adoption. All figures are supplied by the agency and the vendor without independent verification.

When: The announcement was distributed today, August 20, 2026, at 9:00 AM Eastern Daylight Time. The partnership began in July 2025.

Where: Issued from Burlington, Vermont. The campaigns described run across hundreds of local markets in the United States for retail and homebuilder clients operating multiple locations.

Why: Agency operating models are under pressure from client portfolios growing faster than teams. Vendor research cited in the release puts the share of advertising executives naming difficulty scaling operations as their biggest challenge at 94%, while independent survey data has documented layoffs at roughly 40% of agencies in the year to April 2026. The LT case describes a third path, in which execution headcount is held flat and hiring shifts into creative, and it does so with more operational specificity than most automation case studies, though its performance claims rest on a single undisclosed account.