Executive Summary

UA managers running TikTok spark ads see organic install spikes and cannot tell which campaign caused them. A B2B SaaS that links campaign exposure to subsequent organic installs with lift models and campaign-level fingerprinting gives growth teams reliable incrementality and ROI. TikTok ad spend and spark ads adoption have surged in the last 18 months, increasing the frequency of cross-channel organic lift events. At the same time MMPs face limitations post-privacy changes (SKAdNetwork complexity and reduced deterministic cross-channel signals), making heuristic and probabilistic lift models more necessary. Advertisers also have higher monthly UA budgets and need more granular incrementality data to optimize spend; the Reddit complaint is evidence that UA teams are encountering this pain in current campaigns and look for a recurring solution. Wedge - mid-market and enterprise mobile app advertisers that run TikTok spark ads and multiple active campaigns. Entry point - integrate with the MMP (Adjust/AppsFlyer) and TikTok ad APIs and automatically detect post-exposure organic lift windows per campaign using probabilistic fingerprinting and incremental lift modeling. Incumbents leave room because MMPs report installs but do not attribute organic+viral lift to specific campaigns reliably, and ad platforms do not expose cross-user organic spread signals. The Reddit source shows a real workflow break - UA managers already look at Adjust and see unexplained organic installs, so replacing manual correlation with an automated, campaign-level lift report fits an existing daily workflow.

Market Opportunity

Attribution ambiguity for TikTok spark ads - map paid campaigns to organic installs targets a $2.4B = 40,000 mobile app advertisers x $6,000 ACV. Assumptions: 40k advertisers are mid-market and enterprise mobile apps with repeat UA budgets and analytics teams; $6k ACV = $500/month attribution+lift SaaS for a mid-market account. Uncertainty: buyer count +/-40 percent based on how many run TikTok and similar channels. total addressable market with medium saturation and a year-over-year growth rate of 12-18% annual growth in ad measurement and incrementality tools driven by mobile UA spend and privacy shifts.

Key trends driving demand: TikTok growth -- rapid increase in advertiser spend and creative formats like spark ads that blend paid and organic reach, raising demand for campaign-level lift measurement; Privacy changes -- iOS privacy controls and SKAdNetwork reduce deterministic attribution, increasing reliance on probabilistic methods and lift testing; Shift to incrementality -- advertisers are moving from last-touch attribution to incrementality and lift-based decisions, creating demand for campaign-to-organic mapping tools; MMP limitations -- MMPs report installs but do not model how paid exposures create subsequent organic installs, leaving a product gap.

Key competitors include Adjust, AppsFlyer, Branch, Singular, Lift testing / analytics agencies and internal workarounds.

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Attribution ambiguity for TikTok spark ads - map paid campaigns to organic installs

Executive Summary

Market Validation

Market Opportunity

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