How To Improve Ad Viewability With Performance Marketing Software
How To Improve Ad Viewability With Performance Marketing Software
Blog Article
The Benefits of Automated Bid Management in Performance Marketing
Manual CPC bidding offers total control over campaign budget and keyword expenditure, allowing marketers to make adjustments based on performance insights. On the other hand, automated bid management systems use algorithms to optimize bids in real-time.
This can result in a more efficient utilization of marketing resources, which allows marketers to focus on strategic decision-making and campaign strategy development.
Real-time Bid Adjustments
Developing and managing successful search engine marketing campaigns requires the use of sophisticated tools and systems to achieve measurable results. This includes using specialized software to optimize bids and drive the most value from your advertising budget.
One of the most valuable features of these Bid Management systems is their ability to analyze and adjust bids in real time. This enables you to target your ads more precisely and meet campaign goals faster.
For example, if you’re a construction supply company, you can increase your bids when customers are likely to be searching for your products, such as during peak building season. You can also show your ads at the times when they’re most likely to be viewed.
Additionally, automated bidding tools can also help you improve your ROI and efficiency by reducing wasted spend on poor-performing keywords or placements. This can be done by leveraging first-party data or implementing a programmatic platform that integrates with a data management system (DMP). The platform will identify key audience attributes and use these insights to improve bidding strategies.
Data-Driven Decision-Making
Using automated bidding systems allows you to analyze performance data and make informed decisions, which can help optimize campaign effectiveness and maximize ROI. You can also adjust your strategy according to changes in market conditions and other factors, resulting in more accurate performance metrics.
For example, when your target cost-per-acquisition aligns with your budget constraints, smart bidding algorithms can automatically optimize your bids to ensure that you’re getting the most conversions possible within your specified spend. They can also adjust your Quality Score based on historical query-level performance and even factor in competitor bids when optimizing keywords for conversions.
These features allow marketers to focus more on strategic decisions, such as refining ad copy or exploring new targeting options. Additionally, automated bidding allows them to experiment with different strategies and optimization techniques to uncover new insights that can improve campaign performance. Ultimately, this frees up time and resources that can be put toward other areas of the business.
Increased ROI
Using granular marketing attribution data collected with Snowplow and integrated with Google Ads’ Smart Bidding allows you to use AI to optimize bids for keywords that are more likely to convert. This increases ROI, as it enables you to spend more on valuable traffic and captures the most important search queries for your business.
Automated bidding improves efficiency by integrating a variety of signals to evaluate user intent, setting the appropriate bid for each auction dynamically, and saving time and resources by reducing manual intervention. It also increases the ability to scale campaigns across ad groups, keywords, and targeting options.
By leveraging automated bid management, marketers can focus on strategic decisions like campaign strategy development and creative optimization. It’s crucial to review and adjust these strategies regularly to account for new performance metrics and external factors. This ensures that your campaigns are continually optimizing and maximize your return on ad spend. This is especially important for high-performance industries like fashion and tech, where customer trends shift quickly.
Increased Efficiency
Using automated bidding tools helps marketers manage complex campaigns more efficiently by eliminating manual monitoring and adjustments. However, automated bidding doesn’t mean “set-it-and-forget-it.” To ensure that algorithm decisions align with marketing goals and objectives, advertisers must regularly monitor campaign performance and make necessary adjustments.
By integrating multiple signals to understand user intent, such as device, location, time of day, and conversion history, automated bid management systems maximize clicks or other key campaign objectives within budget constraints while minimizing costs. This saves valuable time and resources for media buyers.
For example, Target CPA bidding automatically optimizes bids to achieve a Google Shopping Ads optimization pre-determined cost-per-acquisition goal, reducing ad spend while ensuring optimal campaign outcomes. Likewise, Target Impression Share bidding optimizes bids to secure high visibility and a competitive advantage by maintaining a desired impression share of search results. This frees up ad budget for other campaign objectives and reduces reliance on manually-adjusted bids during promotional periods or seasonal fluctuations.