Smartly Predictive Budget Allocation Boosts HungerStation Acquisition Efficiency by 19%
Objective
HungerStation wanted to stop manually managing budgets and let AI do it instead. The goal: use Smartly's Predictive Budget Allocation with their own internal performance data to automate budget decisions, improve efficiency, and drive more conversions—all based on real, server-to-server integrated KPIs.
Solution
HungerStation partnered with Smartly's account and technical teams to run a clean split test: manual budget management vs. automated allocation powered by Predictive Budget Allocation (PBA).
The key was feeding the AI the right data. HungerStation's internal performance data flowed directly into Smartly through server-to-server integration, letting the AI optimize against their true first-party KPIs, not generic platform defaults.
Campaigns were duplicated in Smartly Workspaces to create controlled test conditions. One set stayed manual and the other ran with PBA enabled, powered by real-time server-to-server data. Throughout the test, both teams validated data quality, ironed out integration issues, and kept campaign setups consistent to protect test integrity.
“We're incredibly pleased with the results. Smartly's Predictive Budget Allocation, powered by our server-to-server data, delivered seamless automated optimization that immediately translated into tangible wins. Not only did performance improve, but our team got valuable time back. Budget management is automated now so we can focus on strategy instead.”
Smartly Predictive Budget Allocation Boosts HungerStation Acquisition Efficiency by 19%
HungerStation is one of Saudi Arabia's leading food and grocery delivery services, connecting customers to restaurants and retail partners across major cities. Part of the Delivery Hero group, HungerStation uses technology and data to scale operations and keep the customer experience fast and convenient.
Objective
HungerStation wanted to stop manually managing budgets and let AI do it instead. The goal: use Smartly's Predictive Budget Allocation with their own internal performance data to automate budget decisions, improve efficiency, and drive more conversions—all based on real, server-to-server integrated KPIs.
Solution
HungerStation partnered with Smartly's account and technical teams to run a clean split test: manual budget management vs. automated allocation powered by Predictive Budget Allocation (PBA).
The key was feeding the AI the right data. HungerStation's internal performance data flowed directly into Smartly through server-to-server integration, letting the AI optimize against their true first-party KPIs, not generic platform defaults.
Campaigns were duplicated in Smartly Workspaces to create controlled test conditions. One set stayed manual and the other ran with PBA enabled, powered by real-time server-to-server data. Throughout the test, both teams validated data quality, ironed out integration issues, and kept campaign setups consistent to protect test integrity.
“We're incredibly pleased with the results. Smartly's Predictive Budget Allocation, powered by our server-to-server data, delivered seamless automated optimization that immediately translated into tangible wins. Not only did performance improve, but our team got valuable time back. Budget management is automated now so we can focus on strategy instead.”
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