An anonymous company spending an average of $113,000 a month on paid search turned off brand campaigns across four countries, then paused most non-brand activity as well. Over more than thirteen weeks, organic and direct revenue recovered an increasing share of revenue previously attributed to paid search. Total revenue, however, did not fully recover.
This case should not be read as an instruction to switch off brand search. It is a single-company shutdown without a randomized control group. Its value is not a universal percentage. It offers a practical starting point for separating revenue shown in a paid-search dashboard from revenue that advertising genuinely added. The useful question for brands in Türkiye is not simply whether Google Ads works, but which campaign, query, and margin layer creates incremental demand.
What changed in the experiment?
According to the first-person account published by Search Engine Land, the company paused brand campaigns in the United States, United Kingdom, Australia, and Canada. It then stopped most non-brand Search, Shopping, and Performance Max spend. Monthly spend had ranged from $106,000 to $119,000, averaging $113,000.
The author examined $36,129 of spend in one brand campaign against the likelihood that organic results could have captured the same clicks. Paid and organic results overlapped on 71% of clicks. The analysis classified $3,945, or 10.9% of spend, as likely incremental and $32,184, or 89.1%, as defensive. This is an observational estimate. It does not directly reveal what the same user would have done without an ad.
That distinction matters. An ad platform can attribute a conversion to paid search through last click or its own model. If the user was already searching for the brand and would have selected the organic result, attributed revenue is not equal to incremental revenue. Conversely, competitor ads, weak organic ranking, retailer listings, or a time-sensitive promotion can make brand advertising genuinely incremental.
How much did organic and direct recover?
During the first six weeks, organic and direct channels recovered roughly 30% of revenue previously attributed to paid search. The figure reached 39% in weeks seven to twelve and 65% after week thirteen. Organic revenue rose by $17,800, $28,100, and $15,800 across three comparison periods. Direct revenue increased by $14,500, $14,100, and $54,000.
Selected commercial organic queries grew between 13% and 76%. Paid traffic converted at 2.9%, compared with 2.3% for organic traffic. The gap suggests that paid search was not entirely redundant, while lower-cost paths were still able to absorb a meaningful share.
Top-line revenue declined by about $30,000 to $40,000 a month. After combining media savings with the lost revenue, the author estimated a positive monthly P&L effect of $5,000 to $20,000. The case illustrates how revenue can fall while profit improves. Yet product margin, refunds, new-customer value, and lifetime value were not disclosed, so the calculation cannot be independently validated.
Why did previous studies find different answers?
Google's 2011 meta-analysis of several hundred Search Ads Pause studies estimated that more than 89% of ad clicks were incremental on average. A 2012 follow-up found that almost all clicks could be incremental when no related organic result existed. Even with an organic result in first position, half of ad clicks remained incremental on average.
The well-known randomized eBay experiment found that organic search could replace almost all branded paid traffic for that unusually strong brand. A controlled field experiment at the smaller Edmunds.com brand found the opposite: more than half of paid traffic disappeared when brand ads were switched off. The CEPR account explains that losses could be particularly high where competitors bid on the brand term.
These apparently conflicting results carry the same warning. Incrementality is not a fixed platform constant. Brand strength, organic ranking, competitor pressure, country, device, query type, and buying cycle change the result. Applying another company's 65% recovery rate to your own budget can be as misleading as running no test at all.
Who is affected in Türkiye?
E-commerce companies, marketplaces, travel brands, and multi-location businesses that dedicate a large share to brand search should look first. Defensive spend may be higher for companies that rank first organically, receive strong direct traffic, and face little competitive bidding. Incremental contribution can rise for newer brands, generic queries, crowded auctions, or periods when an offer message matters.
In Türkiye, inflation, campaign calendars, currency movement, and marketplace promotions can alter weekly demand quickly. A simple before-and-after revenue comparison is therefore weak evidence. GA4 channel labels are not ground truth either. When ads stop, users may move to organic search, direct visits, an app, or a store. Missing UTMs and consent gaps make the direct bucket particularly ambiguous.
What is confirmed and what remains uncertain?
The confirmed facts are that the company paused spend and its channel reporting showed organic and direct revenue growing over time. Total revenue did not fully recover, although the author's estimated profit effect remained positive. The case also provides a useful operational signal that a meaningful test needs months, not days.
The uncertainties are extensive. The company, sector, gross margin, new-versus-returning customer mix, seasonality, and country-level results are not disclosed. There was no control market. Turning off most brand and non-brand activity makes it difficult to isolate which change drove the outcome. The share of direct growth that truly migrated from ads is unknown. The numbers are case findings, not universal benchmarks.
What should teams do now? An eight-step incrementality check
1. Separate campaign families. Do not bundle brand, generic, Shopping, and Performance Max into one shutdown. Give each group a distinct objective and risk statement.
2. Measure query-level overlap. For brand queries, record how often paid ads, organic results, maps, marketplaces, and competitor ads appear together.
3. Create a control. Where possible, match comparable cities, regions, product groups, or time windows. Prefer reversible cells over switching off an entire country.
4. Set duration around the buying cycle. Do not treat a few volatile days as a decision. Observe several purchase cycles to allow for learning, delayed conversion, and channel migration.
5. Track contribution profit, not revenue alone. Bring media cost, product margin, discounts, returns, and agency or production cost into the same view.
6. Separate new customers. A returning customer's brand query and a new customer's generic discovery do not have the same incremental value.
7. Monitor competitor defence. In cells without brand ads, review competitor-ad frequency, organic-click loss, and conversion rate every week.
8. Define a restoration rule. If contribution profit, new customers, or strategic query share falls below a pre-agreed threshold, restore the campaign automatically.
This framework lets performance marketing, SEO, and digital marketing teams work from the same profit view. The objective shifts from protecting a channel's reported conversions to optimizing the sales and profit the company genuinely gains.
Where should brands act, and where should they wait?
A controlled partial shutdown is worth planning when brand campaigns have high organic overlap, strong first-position visibility, and little competitor pressure. Low-margin products and returning-customer queries can make the test especially valuable. Do not begin without a measurement plan, a control group, and a rollback rule.
Wait before a broad pause during a product launch, a highly competitive auction, weak organic visibility, or a critical season. If Performance Max obscures brand demand, improve query and channel visibility first. Avoid default claims that brand advertising is waste or that all paid search is 89% incremental.
Fark Studio perspective
The most useful output from this case is measurement discipline, not a budget cut. An advertising dashboard reports revenue touched by a channel. A management decision needs the revenue and profit that would disappear without that channel. Those are not the same number.
Fark Studio treats paid and organic search as two surfaces of one demand system, not competing budget lines. Plan an incrementality experiment and search-budget audit with Fark Studio to compare brand, generic, and organic demand in controlled cells and reallocate spend around genuine contribution rather than reporting habit.
Sources
Search Engine Land, What happened when we paused $113,000 a month in paid search, August 17, 2026.
Google Research, Incremental Clicks: The Impact of Search Advertising, 2011.
Google Research, Impact Of Ranking Of Organic Search Results On The Incrementality Of Search Ads, 2012.
CEPR VoxEU, An experiment to estimate the effectiveness of branded search ads, February 18, 2018.
