Holistic Measurement
When a user views an ad on TikTok, it's not always a simple click and convert. TikTok ad views frequently serve as the starting point for further exploration and purchases across platforms. Therefore, a holistic measurement approach involving the right solutions and partners is essential to showing TikTok's true impact.
Your Path to Measurement Success Scale Bundle more tools to understand complex consumer behavior on and off TikTok and identify growth levers for your business
Improve Prove Measure TikTokʼs true value beyond last click or ad attention metrics to inform key budget decisions
Optimize channel performance with test & learn frameworks designed to improve ROI to get more for your dollar
Measurement Solutions Overview
Accessible for all
Unlock business outcomes
Understand impact across the funnel
Split Test
Conversion Lift Study
Unified Lift Study
TikTok
TikTok
TikTok
Media Mix Modelling
Multi Touch Attribution
TikTok
TikTok data UI, API, 3P Partners)
Fospha, KLAR!
Brand Lift Study
Multi-Cell Conversion Lift Study
Sales Lift - Geo Lift
Attribution Analytics
TikTok, Kantar)
TikTok
Post Purchase Survey PPS
Store Visits Lift
TikTok, KnoCommerce)
Circana)
(new partner in testing)
TikTok Measurement Partners
Key takeaways
1
Know the limitations of web analytics by leveraging Attribution Analytics to understand how TikTok drives conversions, whether thatʼs through view-through or click-through attribution
2
Measure beyond last click to capture TikTok's channel value (including view-through impact) for key investment decisions across channels.
3
Determine the most effective TikTok touchpoints by calibrating attribution with CLS or PPS results or leveraging robust cross-channel measurement (MTA, MMM)
This document is the property of TikTok Inc. and is intended solely for informational purposes. The recipient shall not distribute, exhibit or otherwise use this document for any other purpose. TikTok undertakes no obligation or responsibility to update any of the information contained in this document. Past performance does not guarantee or predict future performance.