In a world shaped by digital, customer interactions define a brand’s success. For marketers, this can be a significant challenge. While digital advertising is growing rapidly, it is grappling with wasted spends, leaked revenues, and ineffective targeting and tracking of the operators (advertisers and publishers) in the ecosystem. Studies indicate that the total waste in the advertising ecosystem ranges from 2% to 4% of the overall campaign spend.
Advertisers and publishers can ensure better ROI for their campaigns by analyzing spend allocations at each step of the advertising campaign cycle to curb revenue leakage. Marketers can drive deeper customer engagement through relevant customer insights. To supercharge that cycle, they need a campaign strategy built on a strong enterprise marketing technology platform - one that accelerates innovation with analytics. This will help track marketing campaigns and regulate how they perform at each step with respect to dips and raises in sales.
Advanced analytics helps uncover hidden patterns and insights in campaigns when data is organized and analyzed to maximize speed-to-market. Often, the speed at which publishers get advertising performance data and its subsequent analysis, delays the ‘time-to-analyze’ and ‘time-to-optimize’ an advertising campaign.
Easy-to-use tools that aggregate, analyze, and dispense real-time data contribute enormously to smooth and efficient business operations.
Advertising analytics for campaign optimization
The base of advertising analytics is data visualization and analytics software. It analyzes relevant data to uncover hidden insights for better decision-making, and to determine how advertising activities interact with the actions and purchases. Advertising analytics measures the ROI at each step, bringing relevant insights to digital advertising’s most important activities. These insights help tweak the combinations to achieve optimal returns. It also allows media companies, publishers, advertisers, and brands to have a single view of various advertising campaign metrics through flexible reports.
To measure the efficacy of an advertising campaign, the analytics tool analyzes the campaign on certain traits like advertising attributes, targeting of the prospects, advertising performance against the promised reach, and advertising engagement with respect to number of clicks, among others. Once this data is collected and consolidated based on the predefined metrics across all the advertising platforms, the same is analyzed using analytical filters. Analysis of this data helps the advertisers derive rich insights on campaign performance (See Figure 1).