What is a Bid Strategy?
A bid strategy is a set of rules or guidelines that help determine how much a marketer is willing to pay for an ad placement in an online auction-based advertising platform.
Bid strategies are crucial for managing digital advertising campaigns efficiently, ensuring that ads are shown to the right audience at the right time while staying within budget. Platforms like Google Ads, Facebook Ads, and other programmatic advertising networks use bid strategies to help marketers optimize ad spend and improve campaign performance.
Types of Bid Strategies
Manual Cost-Per-Click (CPC): CPC bidding allows marketers to set a maximum price per click they are willing to pay for each ad click. This strategy gives advertisers full control over their bids but requires more time and attention to adjust bids manually.
Automated Bidding: Automated bidding strategies use machine learning to adjust bids based on campaign goals. The platform automatically optimizes bids to help advertisers achieve the best results within their budget. Types of automated bidding include:
- Maximize Clicks: Sets bids to help get as many clicks as possible within the budget.
- Target Cost Per Acquisition (CPA): Sets bids to help get as many conversions as possible at or below a target Cost Per Acquisition (CPA).
- Target Return on Ad Spend (ROAS): Sets bids to maximize the Return on Ad Spend (ROAS) by aiming for a specific return on investment.
Enhanced Cost-Per-Click (eCPC): Enhanced Cost-Per-Click (eCPC) is a hybrid strategy that adjusts manual bids to help maximize conversions while staying within the set budget. eCPC uses automated adjustments based on real-time data to increase or decrease bids for individual auctions.
Cost Per Mille (CPM): Cost Per Mille (CPM) bidding is based on impressions, with advertisers paying for every 1,000 impressions their ad receives. CPM is often used for brand awareness campaigns to increase visibility rather than drive immediate conversions.
Cost Per View (CPV): Cost Per View (CPV) bidding is commonly used for video advertising, where advertisers pay for each view or interaction with the ad. This strategy is effective on platforms like YouTube to promote video content and increase engagement.
Target Impression Share: Target Impression Share aims to get an ad to show up in a specific percentage of auctions, either at the top of the page, on the first page, or anywhere on the search results page. This strategy is ideal for increasing brand visibility.
Choosing the Right Bid Strategy
The right bid strategy depends on your campaign goals, budget, and ad type. Here are some common goals and the recommended bid strategies for each:
- Increase Website Traffic: If the goal is to drive traffic to your website, Maximize Clicks can help achieve the highest number of clicks within your budget.
- Generate Leads or Sales: If the goal is conversions, target Cost Per Acquisition (CPA) or target Return on Ad Spend (ROAS) are effective strategies to optimize bids for actions like form submissions or purchases.
- Brand Awareness: For brand visibility, Cost Per Mille (CPM) or Target Impression Share can help ensure ads are seen by as many people as possible.
- Video Engagement: For promoting video content, Cost Per View (CPV) is ideal, focusing on getting views and interactions.
Benefits of Using a Bid Strategy
- Maximized Return on Investment (ROI): Bid strategies optimize ad spend to ensure campaigns achieve their intended goals, such as clicks, conversions, impressions, or views, maximizing return on investment.
- Reduced Manual Effort: Automated bidding takes the guesswork out of setting bids, allowing marketers to focus on other campaign aspects. Machine learning is used to adjust bids in real-time, reducing the need for constant manual intervention.
- Improved Campaign Performance: By using the appropriate bid strategy, marketers can improve ad performance, ensuring ads are shown to the right audience at the right time.
Challenges of Bid Strategies
- Limited Control with Automation: Automated bid strategies provide convenience but limit manual control, making adjustments challenging. Results depend heavily on the accuracy of the platform’s algorithms.
- Data Requirements: Automated bid strategies like Target CPA or Target ROAS rely on historical data to optimize bids effectively. Campaigns without sufficient data may struggle with automated bidding.
- Budget Constraints: For smaller budgets, bid strategies like Target Impression Share can quickly exhaust resources without achieving desired conversions. It’s important to align the bid strategy with the available budget.
Best Practices for Bid Strategies
- Align Strategy with Goals: Choose a bid strategy that aligns with campaign objectives. For example, use Maximize Clicks for driving traffic, Target CPA for lead generation, and Cost Per Mille (CPM) for brand awareness.
- Monitor and Adjust: Regularly monitor campaign performance, even with automated bidding. Keep an eye on metrics like Conversion Rate, Cost Per Acquisition (CPA), and Click-Through Rate (CTR) to ensure the bid strategy is meeting expectations.
- Test Different Strategies: Test various bid strategies to determine which works best for your campaign. A/B testing can help identify the most effective approach for achieving desired outcomes.
- Leverage Historical Data: Use historical data to make informed decisions when selecting a bid strategy. Campaigns with sufficient conversion data are more likely to benefit from automated bidding strategies.
Final Thoughts
Bid strategies are essential for managing ad spend, optimizing campaign performance, and achieving marketing goals. Whether your goal is to drive traffic, generate leads, or build brand awareness, choosing the right bid strategy can make a significant difference.
More from the blog
What is Customer Data Analysis and Why is it Important?
A Guide to Brand Strategy for B2C Marketing
IN THIS ARTICLE
SHARE
Book a demo
Put your customers at the heart of your marketing
Schedule a personalized demo to see what Samhub can do, or discover on your own with a free account.