Running PPC ads is all about making smart choices, and stretching your budget while ensuring your ads reach the right people at the right time. That’s where bid management helps you stay in control.
PPC bid management sets the right bids for your keywords to maximize results without overspending.
In this guide, we’ll walk you through everything you need to know about PPC bid management, from different bidding strategies to practical tips for optimizing your ad spend.
PPC auctions operate in real time across various advertising platforms, including Google Ads, Microsoft Advertising (Bing Ads), Meta Ads (Facebook and Instagram), LinkedIn Ads, and more. These auctions determine which ads appear, in what position, and at what cost to you. While each platform has its own bidding mechanics, they all follow a similar core process.
For example, in a search engine like Google or Bing:
On social media platforms like Facebook or LinkedIn, the auction process considers factors beyond just keywords, such as audience targeting, engagement history, and ad quality, to determine which ads appear in a user’s feed.
This entire process happens instantaneously behind the scenes, with key ranking factors varying slightly by platform but generally focusing on ad quality, bid amount, and user engagement signals.
On Google Ads and Microsoft Advertising, Quality Score is a metric rated on a scale from 1-10. It’s based on three components: expected click-through rate (CTR), ad relevance, and landing page experience. A higher Quality Score can lower costs and improve ad positioning.
Other platforms have similar quality-based metrics:
Optimizing user experience (UX), audience targeting, and ad content can improve these quality metrics across platforms.
Most PPC platforms use an ad ranking system to determine placement. On Google Ads and Microsoft Ads, Ad Rank is calculated using:
Ad Rank = Bid × Quality Score (plus additional factors like ad format and user intent).
Social platforms like Facebook, Instagram, and LinkedIn use an Auction Score, which considers:
This means that on any PPC platform, advertisers with better relevance and engagement can outperform competitors who bid higher but have lower quality scores.
Each PPC platform offers various bidding strategies designed to align with different business objectives. The right choice depends on your goals, whether you prioritize cost efficiency, maximizing reach, or driving conversions.
While bidding strategies differ across platforms, they generally fall into three broad categories:
Manual bidding allows you to set your own CPC or cost-per-impression (CPM) limits. This strategy is most effective when:
Platforms that support manual bidding include Google Ads (manual CPC), Microsoft Advertising (manual CPC), Meta Ads (manual bidding with cost caps), and LinkedIn Ads (manual bidding for CPC, CPM, and CPS).
Some platforms offer hybrid bidding, where you set a base bid, but the system automatically adjusts bids based on conversion likelihood. This balances control with automation.
Examples include:
This is ideal for advertisers who want their ads to be more efficient without fully transitioning to AI-driven bidding.
Automated bidding strategies like Target CPA (Google and Microsoft Ads) and Cost Per Result Bidding (Meta Ads) use machine learning to adjust bids and maximize conversions within a target acquisition cost.
This PPC bid management strategy is best for:
For ecommerce ads and high-value lead generation campaigns, Target ROAS bidding helps maximize revenue from ad spend by dynamically adjusting bids based on expected conversion value.
It’s supported on:
To implement this, you must accurately track conversion values across platforms.
These strategies focus on getting the highest possible number of conversions or clicks within a set budget. However, they don’t prioritize efficiency, so costs can fluctuate.
It’s available on Google, Microsoft, Meta, and LinkedIn ads.
Use this when:
For brands focused on visibility and dominance in search results or newsfeeds, impression-based strategies ensure higher placement.
This strategy is best for:
It’s available on Google, Microsoft, Meta, and LinkedIn ads.
Tweaking your bids based on different factors helps you get your ads in front of the right people, without overspending. While the details vary by platform, the core idea is the same: spend more where you see results and pull back where you don’t.
People browse differently depending on whether they’re on a phone, tablet, or computer. If mobile users convert better for you, it makes sense to increase bids for mobile traffic. If most of your high-ticket sales come from desktop users, you might want to prioritize that instead.
On Google and Microsoft Ads, you can set bid adjustments by device at the campaign level. Facebook Ads automatically optimizes for different placements but lets you exclude underperforming ones. LinkedIn lets you target by device type too.
Not all locations perform the same. A clothing brand might sell better in big cities, while a local service business might want to focus on specific neighborhoods.
Google and Microsoft Ads let you fine-tune bids based on country, state, city, or even zip code. On Facebook, while you can target specific locations, you can’t manually adjust bids by region.
If a certain city brings in more customers, you can increase your bids there. If another area isn’t profitable, you can reduce or exclude bids altogether.
Some ads perform better at certain times. Maybe your customers shop online in the evening, or your restaurant gets the most delivery orders during lunch hours. Instead of wasting money when engagement is low, adjust your bids to match peak activity.
Google and Microsoft Ads allow bid adjustments based on time and day of the week. Facebook and LinkedIn don’t let you manually adjust bids by time, but you can schedule your ads to run only during the best hours.
Learn more: How to Use Dayparting to Improve Ad Targeting
Not all customers are the same. Someone who visited your website last week is more likely to buy than a random person who’s never heard of you. This is where audience-based bidding comes in.
Google and Microsoft Ads let you increase bids for people who have already interacted with your business through remarketing lists. On Facebook, you can prioritize Custom Audiences (like past website visitors or email subscribers). LinkedIn lets you target users based on job titles, but for B2C, that’s usually less relevant.
The best PPC campaigns don’t rely on just one type of bid adjustment, they combine multiple factors. For example, if you know mobile users in New York convert best on weekday afternoons, you can increase bids for all three factors at once.
Fine-tuning your bids this way helps stretch your budget further, so you’re paying more where it counts and less where it doesn’t. It takes some testing, but once you find the right balance, you’ll see better results without spending more.
Managing PPC bids isn’t just about setting a number and hoping for the best. Even experienced marketers make mistakes that waste money or limit performance. Here’s how to avoid the most common ones.
One of the biggest mistakes is tweaking bids before your campaign has had time to settle. PPC platforms like Google and Facebook need time to learn which users are most likely to convert. If you start adjusting bids too early, you’re disrupting that process and making decisions based on incomplete data.
To avoid this, let new campaigns run for at least 7-14 days before making major bid changes. If you’re testing a new bidding strategy, give it even longer, around 2-3 weeks, so the system has time to stabilize.
Bidding high won’t save an underperforming ad. If your click-through rate is low or your landing page isn’t converting, throwing more money at bids won’t fix the problem. Google and Microsoft use Quality Score to determine how much you actually pay per click, and low-quality ads get penalized with higher costs.
Instead of just increasing bids, focus on making your ad copy more engaging and relevant. Improve landing pages so they match search intent, load quickly, and provide a great user experience. Even small tweaks, such as simplifying a form or adding trust signals, can increase conversions and lower costs.
Some marketers obsess over bid adjustments daily, which creates volatility and prevents the algorithm from optimizing properly. Others set bids once and forget about them, missing key opportunities to refine their approach.
Try to find the right balance. For most accounts, a weekly or bi-weekly optimization schedule works best. Higher-spending accounts may need adjustments more often, while smaller ones can check in less frequently. Instead of reacting to daily fluctuations, focus on long-term trends to make smarter bid adjustments.
Bids shouldn’t be the same across the board, since different devices, locations, and times of day perform differently. If you don’t adjust for these factors, you’re likely overpaying in some areas and underbidding in others.
To make sure your budget is working as efficiently as possible, use bid adjustments based on performance data. If mobile users convert at a higher rate, increase mobile bids. If certain cities generate more revenue, raise bids in those areas. If conversions drop at night, lower bids during off-hours.
Just because a bidding strategy worked last year doesn’t mean it’s the best choice now. Platforms update their algorithms, competition changes, and user behavior shifts. If you’re still using manual bidding while your competitors are leveraging smart bidding, you might be missing out.
Regularly testing different bid strategies keeps your campaigns competitive. If you’re using manual CPC, try Enhanced CPC or a goal-based approach like Target ROAS. If you’re using Maximize Conversions, test Target CPA to control costs.
Managing PPC bids manually is a never-ending cycle of tracking trends, adjusting budgets, and trying to outmaneuver competitors. Even with a good strategy, making manual bid adjustments can only get you so far.
Pixis’ AdVance takes bid management to the next level by using advanced machine learning to optimize your campaigns in real time. It continuously analyzes past performance, market trends, and user behavior to make precise, data-driven bid adjustments. Instead of setting static bids, the AI dynamically adjusts them based on factors like keyword relevance, user intent, device type, and location.
But it doesn’t stop at real-time bidding. Predictive analytics identify seasonal trends, anticipate shifts in consumer behavior, and even detect competitor activity before it impacts your performance.
The platform also provides transparent insights into bid optimizations, showing you exactly where your budget is being allocated and why. This means you can scale campaigns efficiently and minimize wasted ad spend, without spending hours manually tweaking bids.
Book a demo to learn more about how Pixis can help you with PPC bid management.