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ShieldLabs vs. Sift Digital Trust & Safety Suite

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    ShieldLabs

    N/AN/AShieldLabs is a Visitor Identification and Anonymity Detection API platform. The solution uses a single JavaScript snippet to collect browser and network signals during website visits, returning a persistent identifier and a risk score ranging from 0 to 100 via a REST API and signed Webhooks. Key Capabilities Visitor Identification: The platform recognizes returning visitors across separate sessions, cleared browser cookies, incognito/private modes, IP…

    $99

    per month

    Sift

    Score5.1 out of 10
    N/ASift Science headquartered in San Francisco offers their software, Machine Learning and Device Fingerprinting, for fraud detection and prevention, priced per services added and volume of devices and orders checked.N/A
    Pricing
    ShieldLabsSift
    Editions & Modules
    Starter
    $99
    per month
    Growth
    $399
    per month
    Starter (Annual)
    $950
    per year
    Scale
    $999
    per month
    Growth (Annual)
    $3,830
    per year
    Scale (Annual)
    $9,590
    per year
    No answers on this topic
    Offerings
    Pricing Offerings
    ShieldLabsSift
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsPricing is published and flat, with no per-seat charges and no sales process: every plan is self-serve from the first tier to the last. Plans include a monthly allowance of identifications: 25,000 on Starter, 150,000 on Growth and 500,000 on Scale. The effective price per identification therefore falls as volume grows, from $0.00396 on Starter to $0.00266 on Growth and $0.00200 on Scale, so growth makes each identification cheaper rather than more expensive. Annual editions are the same plans billed yearly at a 20 percent discount. Traffic above a plan allowance continues to be identified and scored rather than being cut off. The excess is billed at the plan's own per-identification rate as a line item on the next renewal invoice.
    More Pricing Information
    User Ratings
    ShieldLabsSift
    Likelihood to Recommend
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    ShieldLabsSift
    Likelihood to Recommend
    ShieldLabs
    No answers on this topic
    Sift Science, Inc
    We haven't really taken advantages of the full spectrum of what the suite offers, but for the segment that we are using that identifies users across multiple accounts and devices, it performs phenomenally. In the future we'd like to enable auto-banning based on a risk index score that Sift Digital Trust & Safety Suite would contribute to.
    Incentivized
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    Pros
    ShieldLabs
    No answers on this topic
    Sift Science, Inc
    • Identify users across multiple accounts
    • Identify users across multiple devices
    Incentivized
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    Cons
    ShieldLabs
    No answers on this topic
    Sift Science, Inc
    • Some transparency into how Sift Digital Trust & Safety Suite identifies common user patterns that lend to its intelligence model
    Incentivized
    Read full review
    Alternatives Considered
    ShieldLabs
    No answers on this topic
    Sift Science, Inc
    Sift Digital Trust & Safety Suite provided the easiest integration points plus reliability compared to other vendors we evaluated. We were able to incorporate their data into a custom UI of our own to manually audit and ban users.
    Incentivized
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    Return on Investment
    ShieldLabs
    No answers on this topic
    Sift Science, Inc
    • It has had the positive impact of ensuring quality submissions as well as reducing payout for duplicate accounts.
    Incentivized
    Read full review
    ScreenShots

    ShieldLabs Screenshots

    Screenshot of Overview: an aggregate traffic risk score with the split across Clean, Low, Medium and High risk bands, the trend over the selected period, and visitor counts against the previous period.Screenshot of Anonymity signals: each signal that fired over the period, shown by name with its volume and share of traffic, alongside operating system, device type and connection type breakdowns.Screenshot of Traffic sources: every channel and every referring domain carries its own traffic risk score, showing which sources deliver anonymised or high-risk visitors.Screenshot of Patterns summary and traffic sources: how often traffic matches pre-computed abuse patterns, with acquisition channels and referrers resolved from the landing URL.

    Sift Screenshots

    Screenshot of Payment Protection - Console viewScreenshot of Content Abuse - Console viewScreenshot of Account Defense - Console view