Ad LTV Vendor Comparison

	A	B	C	D	E	F	G	H	I	J	K	L	M
1	Requirements	Maximal Score	Weight	PARTNER 1		PARTNER 2		PARTNER 3		PARTNER 4		PARTNER 5
2		150		notes	0	notes	0	notes	0	notes	0	notes	0
3	Data Handling and Eporting
4	Flexible options for sending user and impression level data to internal data warehouse: both API and data dumps to AWS / Google Cloud	5	100%
5	Easy way to send data to attribution and analytics platforms and directly to user acquision partners: FB, Google, etc.	5	100%
6	Unique Tracking ID available to Client SDK and exposed via reports	5	90%
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8	Integrity and Policies
9	EU Data Policies compliant	5	100%
10	Internal policy to not have interests that are conflicting with unbiased data reporting	5	100%
11	Siloed approach when it comes to customer data - guarntee not to share customer data with others	5	100%
12
13	Technology, Ad LTV modeling and testing
14	100% focus and commitment to measuring in-app advertising and updating the technology as the industry evolves	5	80%
15	Advanced client side technology to track advertised apps, accidental clicks, x/y location of clicks, installs on both android and iOS and bid levels for RTB and CPI campaigns	5	80%
16	Vendor has a program in place to constently validate his model and has no conflicting interests standing in the way of getting truth sets from multiple ad-networks	5	80%
17	Mature ad LTV algorithm based on multiple models to account for CPM, CPCV, CPC, CPI and RTB scenarios and a system to detect the right model	5	80%
18	3rd party validation of ad LTV model accuracy	5	100%
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20	UA features
21	Dashboard for showing ad revenue and ARPU/LTV on a cohort basis	5	100%
22	Threshold based postbacks for Ad whales to FB, Google UAC and others	5	100%
23	Ad whale audience export for lookalikes and similar audiences	5	100%
24
25	Monetization Dashboard Features
26	Overview dashboard showing high level trends of ARPU and revenue	5	50%
27	Drill down screens allowing comparison between versions, ad-networks, platforms and custom dimensions	5	50%
28	Ecpm decay charts and Bid density analysis allowing waterfall optimization	5	50%
29	Analysis of impressions, revenue and eCPM generated by each advertised app	5	50%
30	Screens allowing analysis of engagement ratio (opt-in) on a daily/weekly/month basis as well as per cohort	5	50%
31	Rich roadmap for the dashboard based on customer feedback	5	50%
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33	SDK
34	Support for Native, Unity, Adobe and Cocoa Pods	5	80%
35	Lightweight SDK with low memory utilization	5	80%
36	Easy integration	5	80%
37	Testing tools including: live events log, test mode, log messages, ...	5	80%
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39	Commercials
40	Transparent model with no hidden fees	5	150%
41	Modular model allowing you to reduce the fee based on actual services needed	5	150%
42	Trial period available at a discounted or free rate with low commitment	5	150%
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44	Service
45	Easy way to get support for bugs, along side dedicated customer success manager (account manager) reachable via phone / instant message	5	100%
46	Ongoing training and quarterly business reviews	5	100%
47	Analyst available to make custom reports: audiences, monetization insights, price floor recommendations, and churn per advertiser analysis	5	100%
48
49	Mediation and ad-network coverage
50	Solution works regardless of mediation selection across all big mediation vendors	5	80%
51	Covers main networks for rewarded videos, interstitials, offer walls, banners and native	5	80%
52	Solution works across any ad format: offerwall, rewarded videos, interstitials, playables, banners and native	5	80%
53	Flexible in adding new networks, mediations and ad types	5	80%
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