Attribution

Tools that aggregate channel performance can be helpful, but many of these focus heavily on last click attribution. Making budget decisions based solely on last click hides the true drivers of growth, which can only be found in the full customer journey. The Genius Monkey platform closes this gap by tracking view‑through conversions across all sources. These flexible tools can integrate into aggregate reporters like Triple Whale, Hyros, and others, allowing users to see the full story of consumer conversion.

The Short Answer There’s no universal programmatic channel mix that works for every advertiser. The right mix depends on your industry, audience, purchase cycle, and goals. A B2C retailer running heavy display and video will outperform a B2B manufacturer using the same setup, and vice versa. Effective programmatic advertising requires a customized, data-driven approach rather than a preset formula. Introduction: The Myth Modern programmatic advertising gives advertisers more ways to reach their audience than ever before.

Modern programmatic advertising makes hyper-precise ad placement possible. You can zero in on exactly the demographic or affinity group you need. But that same precision can limit scale, inflate frequency, and stall growth if you push it too far. A wise man once said: “with great behavioral targeting comes great responsibility for maintaining the entire funnel” or something like that. Balance is what keeps advertising healthy. Here are a few things to keep in mind while finding the sweet spot between reach and precision.

Click-based tracking has never told the whole story, but the customer journey is becoming ever more complicated. Advertisers need better attribution to keep up with the consumer, particularly in offline mediums where attribution is rare. In our latest article published on USA Today, Genius Monkey has partnered with CTM (formally CallTrackingMetrics) to connect impression-level programmatic data with advanced call tracking. This collaboration will provide advertisers with unprecedented levels of attribution, especially in offline mediums.

Most advertisers start their digital marketing journey in the same two places: Facebook and Google. That makes sense. Both platforms are easy to use, reach millions of people, and can show results fast. But there’s a big strategic problem many advertisers miss, and it can seriously hurt their long-term success. This week, Genius Monkey is breaking down the downsides of advertising inside “walled gardens” and how you can take back control of your marketing.

Return-on-ad-spend – or ROAS – has solidified itself as an industry standard for measuring campaign effectiveness. There’s no doubt that ROAS is useful, but an ultra-heavy focus on the metric can be deceptive when determining the overall health of your campaigns. Is the Marketing Efficiency Ratio, or MER, the solution to the problems ROAS creates? Let’s dive into the details: MER vs. ROAS: What’s the Difference? ROAS is calculated by dividing the cost of ads from the revenue those ads produced: (Revenue from ads) / (Cost of ads).

One of the many draws of programmatic advertising is the promise of efficiency, but there are plenty of examples of businesses taking “efficiency” too far. In this week’s blog from Genius Monkey, we’re taking a look at another way some advertisers cut out too many steps with the issue of programmatic “black boxes.” Let’s dive in! What is a Programmatic Black Box? A black box is a system where advertisers spend ad money with little control as to how, when, and where ads are placed.

The tech industry is barreling toward a future powered by AI, and there’s nothing anyone can do to stop it at this point. What advertisers CAN do is make sure they’re using new technologies correctly and avoiding the pitfalls that can come with rapid adoption. Artificial intelligence has a lot of potential for good and ill, and Genius Monkey is here to explore a few of the possibilities the future is now offering.

As reported by AdWeek on May 8th, 2025 – just a week after emailing publishers asking them to adopt the new product – Amazon has killed their privacy program that would allow advertisers to better integrate with Google’s new Privacy Sandbox. This would have allowed advertisers using Amazon’s DSP to target users based on Google’s retargeting data. What does this mean for the future of cookie-less advertising and user data?

Back in 2022, IAB predicted that podcast ad revenue would surpass $4 billion in 2024. We’re now in May 2024, and IAB has released a new report granting advertisers insight into the current state of podcast advertising. Is the industry still on track to hit that $4 billion milestone? What do advertisers need to know about targeted ads and consumer tracking in the podcast medium? Let’s dive into the report and learn about what podcast advertising can offer your business.