Unlock Maximum ROAS on TikTok with Voyantis
Switching to a Value-Based Optimization (VBO) strategy can be rewarding but challenging. Brands with complex acquisition funnels often struggle to implement value-based strategies effectively.
We can save you time and money on your journey to mastering VBO. After thousands of experiments, we’ve perfected high-precision predictions and learned to navigate TikTok’s algorithms. This allows us to optimally relay predictions to TikTok, achieving true signal optimization. taking into account timing, accuracy, and signal value for the best results.
Why Value Based Optimization?
TikTok’s Value-Based Optimization (VBO) focuses your web or android campaigns on value creation by targeting high-value users and maximizing return on ad spend (ROAS). VBO optimizes ad delivery to people most likely to make higher-value purchases, such as buying multiple products or choosing higher-priced items.
Depending on your bid, VBO will utilize either the Highest Value or Minimum ROAS strategy when setting up an ad group.
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With TikTok’s advanced AI, you can enhance your campaign outcomes by focusing on the most relevant audience, likely to generate a higher return on ad spend (ROAS)
Better Customers
Whether you are a B2C, Fintech, App, Marketplace, Delivery Subscription, or PLG business, shifting from cost-based strategies like CPC or CPA to value-based strategies that consider customer value, will result in bigger and better conversions.
Outcomes include increased conversion volume, longer plans (annual vs. monthly), recurring subscriptions, more seats per account, the selection of larger packages and more.
Increased ROAS
Paying the right price for high-value customers and not bidding too much for low value customers ensures you are not leaving money on the table while maximizing your business outcome potential.
You will start seeing increase ROAS very quickly. Customers who partnered with Voyantis are reporting 20%-50% ROAS increase.
Sustainable and Stable Growth
Over time, your business will reap long-term benefits, including increased customer lifetime value, higher profits, and the ability to better allocate your marketing budgets across channels and ad formats and you can optimize for more nuanced goals.
Why you might not be getting results
TikTok allows advertisers to set click-through attribution windows of 1, 7, 14, or 28 days, and view-through attribution windows of 1 or 7 days (or disable them entirely).
Conversions must be actualized within the selected window, especially by day 28; otherwise, predictions will be necessary. When you start your campaigns, TikTok recommends running ads for at least seven days to gather insights that help optimize targeting for your highest-value audiences.
Common Challenges
Your conversions happens after the day-7 or 28th-day conversion Window
TikTok’s AI focuses on early signals, limited to D1 or D7 for view-based campaigns and up to D28 for click-based campaigns, relying on a large volume of data points. But what if your conversions happen after the 28-day window—at day 30, 60, or beyond? Or if your conversion volume is too low to effectively inform TikTok’s algorithms? In these cases, TikTok’s AI mises critical signals.
Your early conversion do not align with future value
In some cases, your early conversion volume might be high, but it does not correlate with later conversions that drive actual value, such as subscription renewals or upgrades.
Forecasting future value is a challenge
TikTok requires high-quality data to train its ad algorithms for better performance. To ensure data is sent server-side without signal loss, you’ll need to set up the Events API. However, this alone may not suffice. TikTok could still miss critical signals about future conversion events, especially if you have minimal early events or a significant gap between initial conversions and long-term user value.
Predictive values are not enough
Accurate predictions are just the beginning. To effectively run a VBO strategy, several critical factors come into play beyond the prediction itself: How accurate must your prediction be before sending the signal? Balancing accuracy with timing is crucial. You also need to consider handling outliers like whales, having a backup model in case of data drift, and keeping an eye on your match rate. These complexities make it even more challenging to ensure the predictive signals you send to TikTok are truly effective.
You need an experienced Meta partner
Over the past few years, we have run thousands of experiments on ad networks, and learned to create high-precision predictions AND navigate their algorithms. We have a 100% pilot success rate, with customers reporting a 20%-50% increase in ROAS. Our AI not only creates LTV predictions within 5 minutes of a user’s first interaction but also intelligently decides when to send the signal, automating and optimizing the process for you.
Why you need Voyantis
AI Predictions For TikTok
Prescriptive AI Automation
Predictions based on user level signals, are sent to TikTok using their Event’s API enabling Meta to optimize campaigns for ROAS.
Voyantis AI knows how to balance the timing and value of signals to meet TikTok’s AI training needs, delivering early signals to jumpstart your campaign optimization quickly and effectively.
