data-driven attribution<\/a> (DDA)<\/strong> in September 2021. <\/p>\nDDA is a machine learning model that uses your account’s historical data to determine how people interact with your various ads and decide to become your customers. <\/p>\n
DDA can help you improve your Google Ads campaigns’ performance by providing a more accurate view of how your ads contribute to conversions.<\/p>\n
Bid algorithms<\/strong> aren’t exactly new in paid search advertising. Google introduced Smart Bidding in 2013 with the launch of target CPA (tCPA) bidding. The ability to bid to dynamic values such as revenue and ROAS was introduced in 2017. <\/p>\nAs with most changes, the adoption of these features was slow. Many advertisers did not want to relinquish control of bidding to the platforms.<\/p>\n
Loss of control and expanded reliance on machine learning will be a continued theme for digital advertising. <\/p>\n
Over time, Smart Bidding algorithms have improved significantly, and they are now the preferred method of bid management. Manual bidding still occurs for some aspects of campaigns, but the usage continues to dwindle. <\/p>\n
As data and automation evolve, the core functionality of keywords<\/strong> is changing too. Google Ads changed the functionality of exact match in 2021. Previously, exact match keywords would only trigger ads for searches that matched the keyword exactly. <\/p>\nHowever, now exact match keywords can also trigger ads for searches that are close variants of the keyword. This change means ads may show for searches that include misspellings, synonyms, and other close variants of keywords.<\/p>\n
It is no secret that Google and Microsoft have aggressively encouraged advertisers to expand into the broad match<\/strong>. However, many advertisers, including myself, had a negative perception of broad matches. The query matching was too general, and traffic quality was often subpar.<\/p>\nOver the past two years, we have expanded our broad match usage. Broad match can provide additional search coverage and revenue growth when paired with well-crafted bid algorithms. Consider testing it again if you have shied away from broad match. <\/p>\n
In July 2021, Google Ads retired broad match modified (BMM). Microsoft Ads followed suit by retiring their BMM offering in March 2023. This is the beginning of keyword match type consolidation. <\/p>\n
(This is pure speculation, but Google\/Microsoft will retire another match type within 12-18 months.) If I had to make a prediction, phrase match would be phased out in favor of exact (for control) and broad (for reach). <\/p>\n
These changes directly result from machine learning advancement within ad-serving platforms like Google Ads and Microsoft Ads. <\/p>\n
3. Campaign consolidation <\/h2>\n
Data-driven attribution was an essential element for campaign consolidation within Google Ads. Google’s ad serving algorithm mastered user intent on their core search product. <\/p>\n
The algorithms needed to understand how ads performed across channels within the Google ad ecosystem. <\/p>\n
Once the algorithm understood how to optimize across Google properties, that opened the door for further consolidation. Campaign consolidation first came as Smart Shopping<\/strong> on Google and Microsoft. <\/p>\nGoogle Smart Shopping was a campaign that allowed businesses to automatically show their product ads across Google’s search network, YouTube, Display Network, and Gmail. Smart Shopping campaigns used machine learning to optimize bids and placements. <\/p>\n
Throughout 2022, advertisers had to migrate Smart Shopping campaigns to Performance Max<\/a><\/strong>. As a result, performance Max (PMax) is the current peak of campaign consolidation. <\/p>\nPMax allows advertisers to access new inventory, ad formats, and audiences across all Google channels, including YouTube, Search, Gmail, Shopping, and Discovery.<\/p>\n
Another consolidation point will include Dynamic Search Ads (DSA)<\/strong> into PMax. Google has not provided a specific date for this migration, but the company has said it is working on integrating the two features and expects to make the change soon.<\/p>\nStaying ahead of the curve<\/h2>\n
The last five years have felt like the slow incline of a roller coaster. And it feels like the next two years will be a screaming rush of the drop. <\/p>\n
The drop will be driven by privacy legislation, machine learning, automation, and artificial intelligence. Buckle in, folks! <\/p>\n
\nContributing authors are invited to create content for Search Engine Land and are chosen for their expertise and contribution to the search community. Our contributors work under the oversight of the editorial staff<\/a> and contributions are checked for quality and relevance to our readers. The opinions they express are their own.<\/em><\/p>\n
\n","protected":false},"excerpt":{"rendered":"Marketers have relied on paid and organic search to deliver steady results time and again over the past decade. Changes occurred gradually, giving marketers ample time to adapt their strategies. But today, the pace of change in search marketing is accelerating, with more shifts expected in the next two years than in the past eight […]<\/p>\n","protected":false},"author":2,"featured_media":1929,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[22],"class_list":{"0":"post-1929","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ppc","8":"tag-ppc"},"yoast_head":"\n
3 key trends impacting search marketing today - SEO<\/title>\n\n\n\n\n\n\n\n\n\n\n\n\n\t\n\t\n\t\n