TL;DR
In DV360 branding campaigns, we observed recurring challenges with pacing, targeting, and reporting that made it difficult to consistently achieve reach and frequency goals. To address this, Tatvic developed an AI-driven framework named DV360 Campaign Optimizer that automates campaign optimization with branding objectives in mind.
The system dynamically adjusts bids, budgets, placements, targeting, creatives, and frequency, ensuring campaigns stay aligned with primary KPIs such as reach and frequency while also improving soft KPIs like CPM, CPV, and VTR. Clients receive a consolidated email with prioritized recommendations, enabling faster action and smarter decisions. The result is greater efficiency, better budget utilization, and quicker optimization cycles that drive measurable improvements in branding performance.
The Challenge with DV360 Campaigns
DV360 gives advertisers powerful tools, but many branding campaigns still face the same hurdles:
- Inconsistent pacing — campaigns either under-deliver or exhaust the budget too quickly.
- Targeting inefficiencies — audiences too narrow to scale or too broad to drive relevance.
- Wasted spend — impressions on low-quality placements and underperforming creatives.
- Manual optimization — hours spent in reporting dashboards, making reactive changes.
According to a recent report by Next&Co, 43% of digital ad spend globally in 2023 failed to further the advertiser’s objectives — meaning nearly 5 out of every $10 spent was, to some extent, inefficient, and according to Doubleverify Global insight report (2025) Marketers spend over 10 hours weekly (≈ 26% of working time) on manual campaign optimizations.
For brands where reach and frequency are the main KPIs, and CPM, CPV, and VTR are supporting measures, these inefficiencies lead to missed opportunities and higher costs.
Tatvic’s DV360 Campaign Optimizer
At Tatvic, we reimagined how DV360 campaigns could be optimized moving away from manual tweaks and into a continuous, automated, intelligence-driven loop.
Here’s How DV360 Campaign Optimizer Works At A High Level:
- Client Inputs → Planned budgets, reach/frequency goals, CPM/CPV targets, and campaign details are collected through structured forms and planning sheets.
- Data Collection → DV360 campaign data is pulled into BigQuery via APIs and scheduled transfers, creating a single source of truth.
- Smart Processing → Campaign performance is analyzed against plan, identifying whether the focus should be recovery (achieving reach/frequency) or efficiency (improving CPM, CPV, CTR, or VTR).
- Recommendations → Optimizations are prepared across pacing, budgets, targeting, placements, creatives, and frequency settings.
- Output & Feedback → Clients receive a clear, prioritized recommendation email. Their approvals and rejections create a feedback loop, improving future outputs.
Google DV360 vs Tatvic’s DV360 Campaign Optimizer Approach
DV360 offers strong foundations, but Tatvic enhances them with additional intelligence and automation that go beyond the platform’s defaults.
What Google DV360 Provides |
What Tatvic DV360 Campaign Optimizer Provides |
| Basic pacing strategies (Even, ASAP) | Dynamic pacing and budget adjustments across IOs and line items, aligned with branding KPI goals such as reach, frequency, CPM, CPV, and VTR. |
| Static audience expansion suggestions | Smarter targeting adjustments based on live performance thresholds |
| Frequency caps fixed at setup | Adaptive frequency adjustments mid-flight to prevent waste |
| Manual placement reviews | Continuous identification and exclusion of low-value placements |
| Limited creative rotation | Recommendations to pause underperforming creatives and adopt better formats |
| Recommendations are siloed | Consolidated, prioritized recommendations in one coherent strategy |
| Standardized recommendations generated by platform algorithms | Continuous feedback loop that improves outputs over time |
In short, Google provides the tools, but Tatvic provides the intelligence to use them more effectively.
Sample Output: What Clients Receive
Based on the selected frequency of optimization (for example, daily, weekly), clients receive a clear, structured email outlining key opportunities. Here’s a sample output table generated by Tatvic’s AI-driven workflow:
DV360 Branding Campaign Optimization Report:
Rank |
Focus Area |
Action |
Identifier |
Explanation |
| 1 | 💰 Bid & Budget | INCREASE Daily Budget by $1,500 | LI-9005 (Video – YouTube Skippable) | This LI is a “Reach Driver” but is currently underpacing by 40% against its daily budget. A significant budget increase is the single most impactful action to accelerate spend and improve reach. |
| 2 | 👥 Targeting | EXPAND Audience List | LI-9005 (Video – YouTube Skippable) | The campaign’s reach is lagging. This LI can support up to 30 audience segments but is only using 18. Expanding the audience to include “In-Market: Sustainable Goods” will help broaden our reach to new, relevant users. |
| 3 | 💰 Bid & Budget | SHIFT Budget +$2,000 | From LI-7777 (YT Nonskip) to LI-8888 (YT Nonskip) | The LI-7777 is underperforming with a low VTR, while LI-8888 is a “Frequency Driver” with a high VTR but is underpacing. Shifting budget to LI-8888 will help build frequency more efficiently. |
| 4 | 📊 Frequency | CAP Frequency at 4x/day | IO-345678 (Display – Retargeting) | This IO has a leading frequency (4.5x) and a “No Limit” cap. Implementing a cap of 4x/day will prevent over-exposing the same users, allowing the budget to be reallocated to new users to improve reach. |
| 5 | 💰 Bid & Budget | INCREASE CPM Cap by 10% | LI-6002 (Display – High Viewability) | This LI’s bid strategy is “Maximize Viewable Impressions with CPM Cap.” The agent has detected a high rate of bid rejections due to the cap. Increasing the CPM cap will improve the win rate and viewability of impressions. |
👉 See Tatvic’s DV360 Campaign Optimizer In Action
The Expected Impact for Clients
For DV360, let’s say we can deliver this. Let’s not write impact – rather expected impact. And optimization can provide tangible results, etc.
- Stronger pacing → Campaigns staying within ±10% of planned spend.
- Higher reach accuracy → Achieving >95% of planned reach more consistently.
- Better frequency control → Balanced exposures that avoid oversaturation.
- Media quality uplift → Potential 15%+ reduction in wasted impressions through smarter exclusions..
- Time savings → Allowing campaign managers to shift focus from dashboards to strategy.
Conclusion
Tatvic’s AI-driven DV360 Campaign Optimizer demonstrates how branding campaigns can be transformed with intelligence, automation, and continuous learning. By combining structured inputs, data-driven logic, and actionable outputs, we help clients achieve their reach and frequency goals while improving efficiency on soft KPIs like CPM, CPV, and VTR.
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