The End of Automated Multipliers: Google’s SCT Migration and the Death of Manual Control
Google is sunsetting legacy Hotel campaign multipliers in favor of Search Campaigns for Travel (SCT), forcing advertisers to abandon automated logic for manual, formula-driven bidding. This transition signals a broader industry pivot toward platform-wide algorithmic homogenization.
By Ajinkya Pawar
Head of Search & AI Intelligence • The AI NEWS
Key Developments & Executive Briefing
Legacy Multiplier Deprecation
Architecture 100%Automatic length-of-stay bid multiplication is being phased out in favor of manual adjustment calculations within SCT.
Algorithmic Homogenization
Market Shift HighTravel marketers are being pushed into a unified auction environment that prioritizes platform-wide AI efficiency over niche campaign levers.
Formulaic Recalibration
Action ImmediateAdvertisers must now manually calculate bid adjustments to maintain parity with previous performance benchmarks.
The Arithmetic of Migration: Why SCT Rejects Legacy Multipliers
Google’s transition from legacy Hotel campaigns to Search Campaigns for Travel (SCT) represents a fundamental shift in how travel inventory is valued in the auction. While legacy campaigns relied on automated multipliers to adjust bids based on the traveler's length of stay (LoS), the new SCT framework strips away this native automation.
As Google pushes for greater algorithmic agility, the removal of legacy multipliers forces advertisers to manually calibrate their bidding strategies. This shift effectively shifts the burden of complexity from the platform’s backend to the advertiser’s manual input.
Decoding the Itinerary Multiplier Formula
To bridge the gap between the old automated system and the new manual reality, Google has introduced a specific mathematical requirement for travel marketers. Because SCT does not natively support the automatic multiplication of base bids by the length of stay, advertisers must now manually calculate their adjustments to maintain competitive parity.
Failure to implement this formula correctly can lead to significant under-bidding for high-value, long-stay bookings, effectively eroding the ROI of specialized travel campaigns. To replicate your previous effective bids, use the following calculation:
```
Search campaigns for travel bid adjustment % = [User selected itinerary length of stay × (1+ Original bid adjustment %)] − 1
```
The Strategic Cost of Search Campaign Homogenization
This migration is not merely a technical housekeeping exercise; it is a calculated move toward the homogenization of the Google Ads ecosystem. By forcing travel advertisers into the standard Search Campaign architecture, Google is effectively dismantling the specialized silos that once allowed for granular control over travel-specific metrics.
This shift is a microcosm of the broader friction caused by AI-driven search dominance, where legacy features are stripped to streamline the platform's automated future. As one industry analyst noted: "The tension between AI-driven search dominance and the loss of granular control for specialized advertisers is reaching a breaking point, where efficiency is increasingly prioritized over precision."
Operational Survival Guide for Travel Bidders
For travel marketers, the transition to SCT requires a rigorous audit of existing campaign structures to prevent revenue leakage. The loss of automated multipliers means that "set it and forget it" strategies are no longer viable for high-volume inventory.
To navigate this transition, follow these three critical steps:
- Audit current LoS multipliers: Document all existing bid adjustments in your legacy Hotel campaigns to establish a performance baseline.
- Apply the new formula to existing campaigns: Use the provided SCT formula to translate your legacy adjustments into the new campaign structure, ensuring your effective bids remain competitive.
- Monitor performance variance during the first 30 days: Closely track conversion rates and CPC fluctuations post-migration to identify and correct any discrepancies in your automated bidding efficiency.