Prompt
Can you recommend a mobile attribution platform for measuring ROAS and LTV across paid UA channels with SKAdNetwork support?
Latest observation
Yes — a few strong options are:
Top picks
-
AppsFlyer
- Very broad paid UA channel coverage
- Strong SKAdNetwork support
- Good ROAS / LTV reporting and cohort analysis
- Mature integrations with ad networks, MMPs, BI tools, and partners
-
Adjust
- Excellent for mobile attribution + fraud prevention
- Solid SKAdNetwork handling
- Good cost aggregation and ROAS/LTV measurement
- Often chosen by performance marketing teams with complex UA setups
-
Branch
- Strong if you also care about deep linking and cross-platform journeys
- Supports SKAdNetwork
- Good attribution and user journey tracking, though some teams prefer AppsFlyer/Adjust for more advanced UA analytics
-
Singular
- Good choice if you want attribution + marketing analytics in one place
- Strong cost reporting, ROAS, and LTV
- Useful for consolidating data across many channels
If your priority is…
- Best overall mobile attribution maturity: AppsFlyer
- Strong performance marketing / anti-fraud: Adjust
- Attribution + deep linking: Branch
- Unified marketing analytics + attribution: Singular
What to check before choosing
Make sure the platform supports:
- SKAdNetwork v4+
- Cost ingestion from all your UA channels
- Cohort-based LTV / ROAS reporting
- Postback modeling / modeled conversions
- Audience and partner integrations
- Data export to your warehouse
If you want, I can also give you a side-by-side comparison table of AppsFlyer vs Adjust vs Branch vs Singular based on pricing, SKAN support, ROAS/LTV features, and ease of implementation.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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