TikTok unifies manual and Smart+ into one ad-buying flow
TikTok merges manual controls and machine-learning automation into a single campaign builder.
Mariano De Vitto · August 2026
TikTok has taken a significant step toward simplifying campaign creation, merging its manual ad-buying flow with Smart+, its automated campaign product, into a single unified process. According to a support article published by TikTok Ads Manager, advertisers no longer need to choose upfront between a fully manual setup or a fully automated Smart+ campaign. Instead, they build campaigns in one flow and decide, module by module, how much automation to apply to targeting, budget and placements.
TikTok Ads Manager is the platform's central hub for planning, launching and measuring paid campaigns across its short-video ecosystem, much like the campaign dashboards other major ad platforms offer their advertisers. Any structural change to how campaigns get built inside this interface has direct implications for how agencies and in-house teams plan budgets, staff campaign management and report on performance.
Smart+ is TikTok's automated campaign product, designed to use machine learning to handle targeting, creative optimization and budget allocation on behalf of advertisers who want a more hands-off approach to performance. It sits alongside TikTok's traditional manual buying tools, which give advertisers granular control over audiences, bids and placements but require more active management.
Previously, advertisers had to commit upfront to one path or the other. Choosing manual meant full control but more manual optimization work; choosing Smart+ meant ceding targeting, creative and budget decisions to TikTok's algorithms. Under the newly unified flow described in TikTok's help documentation, marketers can now mix and match those approaches within a single campaign, for example letting Smart+ handle bidding while keeping manual control over placements, or automating audience targeting while setting budgets manually.
From Binary To Modular
For growth teams running performance campaigns alongside brand or always-on activity, this modular structure removes a binary choice that often forced tradeoffs between control and efficiency. Rather than picking a single operating mode for an entire campaign, teams can now apply automation selectively, keeping it where it adds the most value and holding onto manual levers where oversight matters most.
Media buyers who wanted Smart+'s automation but needed manual oversight on certain levers, such as placement exclusions or audience limits for compliance reasons, previously had to run separate campaigns to get both. That fragmentation added operational overhead, complicated reporting and made it harder to compare performance across otherwise similar campaigns. The unified flow should reduce that duplication.
Automation As Default Layer
TikTok's update, as outlined on its ads help center, suggests the platform is pushing toward automation as a default layer of the ad-buying experience rather than a separate product advertisers opt into. At the same time, TikTok is preserving the manual controls that performance marketers rely on for testing and governance, which signals an attempt to balance efficiency gains from machine learning with the accountability that brand safety, compliance and budget discipline require. This mirrors a broader pattern across ad platforms, where AI-driven optimization is increasingly embedded into existing workflows instead of shipped as standalone tools.
What Marketers Should Do Next
Marketing teams should revisit how they structure TikTok campaigns now that manual and automated controls sit inside one flow. Media buyers can retain oversight on the specific variables that matter most, like brand safety or budget pacing, while letting TikTok's automation handle the rest, potentially improving both performance and operational efficiency.
Practically, teams should audit existing TikTok campaign structures to identify where separate manual and Smart+ campaigns were previously required, and test whether those workflows can be consolidated. Compliance-heavy advertisers, in particular, should experiment with combining automated bidding or targeting with manual placement and audience safeguards, then monitor whether the new modular approach changes performance, reporting clarity or media buying workload.
The Signal Brief · Mariano De Vitto — Head of Marketing, Barcelona