If you’ve ever wondered how paid digital marketing works or why some companies scale fast while others struggle, you’re not alone. Many businesses know they should invest in digital advertising, but the mechanics can feel confusing or overly technical. This guide explains paid digital marketing in simple terms and shows where Working Planet fits. If your goal is customer acquisition, profitable growth, or understanding what your marketing dollars deliver, this will help you

Spam is inevitable when you’re generating leads at scale. From junk submissions to disposable email addresses, it’s part of the digital marketing landscape—but that doesn’t mean you can’t take steps to improve quality. Over the past few months, we’ve implemented several tactics across Google and Meta Ads campaigns to cut through the noise and help our clients get higher-quality leads while maintaining strong efficiency.

We rolled out AI Max for Search across campaigns for clients in multiple verticals, including eCommerce, online education, and nonprofit. In most cases, it captured 5–10% of Search spend, produced ~30% stronger ROAS than non‑AI Max traffic, and uncovered incremental volume. However, it also proved to “cherry-pick” volume from existing keywords, which masked some inefficient spend, emphasizing the need for strong conversion signals and constant guardrails.

You may find yourself wishing you had more data to help you understand the value of your leads. In a perfect world, every new column would be filled out consistently, giving you richer, more precise insights. But the reality? Between chasing follow-ups and keeping existing scoring systems updated, asking sales to fill out multiple new fields just isn’t realistic. The good news: you may not need more fields. The data you need could already be sitting in your CRM, just waiting

Predictive models are powerful tools for making smarter marketing decisions, but as with any model, the details matter. One common consideration is whether to include source as a variable. At first glance, it makes sense since different audiences generate different types of leads. But when predictive values are used not just for reporting, but for network optimization, including source as a variable can introduce risks that undermine campaign performance.

Why Consider Google Tag Manager?Good data powers better decisions. With Google Tag Manager (GTM), you can gain the flexibility to collect the right data and adapt quickly as your marketing evolves.