Device bid adjustments: mobile, desktop and tablet steering in 2026

Not every click is equal. A visitor searching for an air conditioning installer on their laptop behaves very differently from someone typing the same query on a smartphone during their lunch break. Yet many advertisers pay the same amount for both clicks, without considering which device consistently delivers better results. Device bid adjustments are the mechanism in Google Ads that allows you to differentiate between mobile, desktop and tablet, and adjust your bids up or down per device type. In 2026, this is no longer optional for serious advertisers: it is a baseline requirement for efficient campaigns.

What are device bid adjustments?

Device bid adjustments are percentage-based modifications to your base bid that you set per device type within a Google Ads campaign or ad group. Google Ads distinguishes three categories: mobile (smartphones), desktop (computers and laptops) and tablet. By setting a positive or negative adjustment, you tell Google how much more or less you are willing to pay for a click on a specific device relative to your standard bid.

A concrete example: suppose your base bid in a Search campaign is €1.50 per click. You see in your data that desktop visitors convert three times more often than mobile visitors. It then makes sense to give desktop a positive adjustment of, say, +40% (making your effective bid €2.10) and mobile a negative adjustment of -30% (making your effective bid €1.05). This way you allocate your budget toward the devices that actually deliver results.

Device bid adjustments work at the campaign level and at the ad group level. When you set both, they are combined. They are available for Search, Display and Shopping campaigns. With Performance Max (PMax) campaigns, Google has fully automated the bidding and manual device adjustments are not available, which is an additional reason to make good use of the data from your other campaigns.

Why device type is so decisive for conversion rate

Average conversion rate by device type

Google Ads Search campaign benchmarks, 2026

Desktop

4.2%

Tablet

3.1%

Mobile

2.6%

The conversion rate differs significantly by device type, and the causes are well understood. Desktop users are typically behind a larger screen, have more time and are more often in an active decision-making or purchase phase. They can more easily fill out forms, compare products and check out. Mobile users are more often on the go, browsing, and drop off more quickly when faced with a complex checkout process or a poorly optimised mobile landing page.

Tablet users occupy a middle position: they convert somewhat better than mobile users, but rarely match desktop figures. Tablet volume in 2026 is considerably lower than mobile and desktop, but the segment still warrants its own strategy, especially for webshops with a visual product range.

For lead generation advertisers like Clima-Active.nl, which generates quote requests for air conditioning and heat pump installations, the pattern is clear: the majority of high-quality leads are submitted via desktop. Someone seriously requesting a quote for an installation worth several thousand euros rarely does so via a smartphone. This justifies a higher bid on desktop and a reduced investment on mobile, unless the mobile landing page is specifically optimised for quick conversion.

In e-commerce, the picture is sometimes more nuanced. A webshop like ToetsJeKennis.nl can see that mobile generates more traffic but desktop delivers higher average order values. In that case, it makes sense to retain mobile for reaching browsing visitors (and retarget them via remarketing), while favouring desktop in campaigns focused on direct purchase.

How to set device bid adjustments in Google Ads

Setting device bid adjustments is technically straightforward, but the strategic underpinning requires careful data analysis. Follow these steps:

1. Analyse your historical data by device: In Google Ads, go to your campaign or ad group, click "Segments" and choose "Device". Look at a minimum of 30 to 90 days of data for statistical reliability. Pay attention to conversion rate, CPA, ROAS and average CPC per device type.
2. Determine your reference device: Google automatically sets the device type with the most data as the reference. You can choose any device as your base and adjust the others relative to it.
3. Calculate your adjustment percentages: A rule of thumb: if desktop has a CPA of €20 and mobile a CPA of €35, mobile is 75% more expensive. A negative adjustment of -40% to -50% on mobile is then realistic.
4. Set at campaign or ad group level: Navigate to the "Settings" of the campaign, scroll to "Devices" and enter your adjustments. Take Smart Bidding into account, as it can influence your manual adjustments.
5. Monitor and refine: Evaluate after two to four weeks whether the adjustments have had the desired effect. Adjust based on new data, seasonal patterns and campaign changes.

Device bid adjustments and Smart Bidding: how do they interact?

A frequently asked question is how device bid adjustments interact with Smart Bidding strategies like Target CPA (tCPA) and Target ROAS (tROAS). The answer is nuanced and has practical implications for how you structure your campaigns.

When you use a Smart Bidding strategy like tCPA or tROAS, Google automatically optimises your bids based on the likelihood of conversion for each individual auction. Google already takes device type into account as one of many signals. In theory, manual device adjustments might seem redundant, but practice tells a different story.

Smart Bidding needs sufficient conversion data to function well, typically at least 30 to 50 conversions per month per campaign. With lower-volume campaigns, Google sometimes steers suboptimally across device types, simply because it does not have enough data. In these cases, manual device bid adjustments act as a corrective layer on top of Smart Bidding, guiding the algorithm in the right direction while it learns.

For campaigns on manual CPC bidding, device bid adjustments are even more important, because you are entirely responsible for the bidding logic. Every euro saved on a poorly converting device can be reinvested where the probability of success is higher.

AdBrains AI: automated device bid adjustments at scale

Manual vs. AI-driven device bid adjustments

What makes the difference in practice?

Manual management

• Adjustments once a week or month
• Based on limited data segments
• Fixed percentages per device type
• No account for day/hour patterns
• Risk of outdated bids
• Time-intensive and error-prone

AdBrains AIAI-powered

• Daily automatic adjustments
• Analysis across all conversion signals
• Dynamic percentages per context
• Hour and day segmentation built in
• Always up-to-date bids per device
• Multi-agent verification for every change

At AdBrains, we have fully automated the logic of device bid adjustments within our own AI system. Where a manual advertiser might evaluate their device adjustments once a month, our AI analyses conversion performance by device type every single day for every account we manage.

Our system works with a multi-agent verification process. This means that every proposed change to a device bid adjustment is assessed by four independent AI agents before it is implemented. The first agent analyses raw conversion data per device over the past seven and thirty days. The second agent checks whether the adjustment is statistically reliable, based on conversion volume. The third agent assesses the impact on total budget and campaign strategy. The fourth agent verifies that the adjustment does not conflict with existing Smart Bidding settings or other bid adjustments at campaign level. Only when all four agents give the green light is the adjustment automatically applied.

This process prevents overreactions to temporary fluctuations, such as a weekend with less desktop traffic that would incorrectly trigger a permanent negative adjustment on desktop. The AI always looks at multiple time windows simultaneously, weighting recent data more heavily than older data, but never removing historical context.

Our automatic tCPA/tROAS optimisation works seamlessly with device bid adjustments. When the system detects that a campaign is generating insufficient conversions on a specific device during a given period for tROAS to steer reliably, it automatically switches to a corrected manual CPC approach with refined device adjustments, until there is enough data for Smart Bidding to take over again.

For clients like Clima-Active.nl, our AI monitors the difference in lead quality per device daily. When the system signals that mobile leads have a lower closing rate than desktop leads (based on CRM signals fed back via server-side signal enrichment), it automatically adjusts the mobile bid adjustment. This goes further than what Google itself does with Smart Bidding, because we incorporate real downstream business data into the bidding logic, not just the initial conversion registration.

For e-commerce clients like ToetsJeKennis.nl, the system also analyses the average order value per device type. If tablet users convert less often but achieve a higher AOV when they do convert, it may be worthwhile for tROAS campaigns not to penalise tablets too heavily. A manual advertiser consistently misses that nuance.

Common mistakes with device bid adjustments

In practice, AdBrains sees a number of recurring mistakes when advertisers manage their own device bid adjustments:

• Too little data as a basis: Implementing adjustments based on less than two weeks of data leads to unreliable conclusions and fluctuating performance.
• Completely excluding mobile: An adjustment of -100% on mobile blocks smartphones entirely. This is only useful if your product or service is genuinely irrelevant to mobile users, but for most campaigns it is too drastic.
• Forgetting to segment by conversion type: A phone call converts more often on mobile; a form on desktop. Looking only at total conversions misses this nuance entirely.
• Not accounting for day and hour patterns: Device usage varies strongly by time of day. Mobile typically peaks in the morning and evening; desktop during the day. Combining device adjustments with ad scheduling maximises impact.
• Setting and forgetting: Adjustments that were correct six months ago may be outdated today due to seasonal shifts, campaign changes or evolving user behaviour.
• No distinction by campaign type: A brand campaign deserves different device adjustments than a generic Search campaign, because user intent is fundamentally different.

Overview: device bid adjustments by campaign objective

These benchmarks are guidelines, not absolute rules. The right adjustment for your campaign always depends on your own data, the quality of your mobile landing page, the average purchase value and the stage in the customer journey your campaign targets. Use this table as a starting point and refine based on actual performance measured through conversion tracking.

Impact of targeted device bid adjustments

Average improvements after implementation

+28%

ROAS on desktop after upward adjustment

-35%

Wasted budget on poorly converting devices

+19%

More conversions with the same total budget

3x

Faster response time vs. manual management

For e-commerce clients like E-4motion.com, which sells new electric folding bikes, purchase journeys are longer and involve more touchpoints. Mobile is frequently used for initial research and viewing product pages, while the actual purchase of a higher-priced bike more often takes place on desktop. This calls for a layered approach: not penalising mobile too heavily to support the orientation phase, but favouring desktop in campaigns focused on direct conversion.

Frequently asked questions about device bid adjustments

Do device bid adjustments work with Performance Max campaigns?

No, with Performance Max campaigns Google has fully handed over bidding to its own AI and manual device bid adjustments are not available. Google automatically steers PMax campaigns across all devices based on the expected conversion probability. You can monitor the device distribution in PMax via the "Insights" and "Asset group" reports, but direct adjustments are not possible. This makes it even more important to steer properly on device in your Search and Shopping campaigns alongside PMax.

Can I completely exclude mobile with a -100% adjustment?

Yes, technically a -100% adjustment on mobile is possible, preventing your campaign from appearing on smartphones. This is a drastic measure only appropriate when your product or service is genuinely irrelevant to mobile users, or when your mobile landing page performs so poorly that every mobile click generates a loss. For most advertisers, a negative adjustment of -30% to -50% is a better choice, as you reduce mobile traffic without excluding it entirely. Mobile often plays a role in the orientation phase of the customer journey, even when the final conversion happens on desktop.

How do device bid adjustments affect my Quality Score?

Device bid adjustments do not directly affect your Quality Score, but they can have an indirect effect. If a positive adjustment causes you to appear more frequently on desktop, and your desktop landing page has a higher relevance score than your mobile version, this can contribute to a better Quality Score for your ad on that device. Google calculates Quality Score partly based on expected CTR and landing page experience, with device type playing a role in that calculation.

How often should I evaluate my device bid adjustments?

For manual campaigns, an evaluation frequency of two to four weeks is a solid baseline. If you use Smart Bidding, monthly evaluation is sufficient, because the algorithm is already continuously responding to device patterns. Always ensure you have enough data when evaluating: fewer than 30 conversions per device type in the measurement period makes conclusions unreliable. In practice, AdBrains fully automates this evaluation, so adjustments are assessed daily and implemented as soon as the data justifies it.

What is the difference between device bid adjustments and audience bid adjustments?

Device bid adjustments steer on the device type of the user at the moment of the auction. Audience bid adjustments steer on who the user is, based on demographic characteristics, interests or previous interaction with your website via remarketing or RLSA. Both types of adjustments can be active simultaneously and are combined by Google. For example, you can set both a positive desktop adjustment and a positive RLSA adjustment for previous website visitors, resulting in an extra high bid for a desktop user who has previously visited your site.