TrafficGuard
With TrafficGuard, you can put an end to the worry of polluted traffic disrupting your campaign success.
Our advanced ML/AI-powered technology identifies and blocks both simple and complex fraudulent traffic in real time, ensuring your ad spend targets genuine, high-quality clicks and conversions. This leads to better campaign outcomes and an enhanced return on ad spend (ROAS).
This robust solution safeguards every dollar of your advertising budget, allowing you to concentrate on reaching your marketing objectives without stress. Let TrafficGuard handle ad fraud protection, so you can confidently manage your:
Google Search (PPC) campaigns
Mobile user acquisition campaigns
Affiliate spending
Social media advertising
In addition to our technology, we provide expert campaign management and exceptional customer support, making us a reliable partner for all your ad fraud protection needs.
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CampaignTrackly
CampaignTrackly enables marketers to create a centralized, consistent, and standardized campaign URL tracking process putting an end to missing or inaccurate advertising data and ineffective marketing decisions.
Its powerful automation and integration tools simplify the process of creating and managing campaign URLs, and empowers marketers to take control of their campaign data while saving a ton of time.
The platform offers over 65 automation features that translate into a seamless, user-friendly and easy to adopt tool. It reduces tech overload, eliminates interruptions and allows campaign URL producers to create UTM links without leaving their favorite apps - Excel, Google sheets, an ESP (Mailchimp, HubSpot, Marketo, etc.)
Integrating with key marketing platforms, including SalesForce and WorkFront, CampaignTrackly offers completely automated campaign URL workflows, eliminating manual work and errors.
Customers use CampaignTrackly to automate, and standardize their campaign URLs, generating reliable insights that lead to effective marketing decisions and higher ROI.
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SegmentStream
Recover conversions that may have been lost due to intelligent tracking prevention, private browsing modes, and the complexities of cross-device and cross-browser customer journeys by utilizing SegmentStream's AI-driven predictive attribution. Aggregate all your marketing data within your own Google BigQuery data warehouse, enabling automated and deduplicated reporting on cross-channel ROI. This enterprise-level solution consolidates and integrates your advertising expenses, website and mobile app metrics, CRM data, and offline conversions into one cohesive platform for streamlined marketing ROI reporting. You can easily visualize your reports using your preferred business intelligence tools. By implementing SegmentStream's predictive attribution, you can gain insights into the true effectiveness of your marketing channels and campaigns in a post-cookie landscape. Instantly assess the real incremental impact of various marketing traffic sources without having to wait for a conversion event, even if that conversion occurs across different browsers or devices. This ensures that you are always informed and can make timely decisions based on accurate data.
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Stella
Stella is a platform designed for marketing measurement, providing marketers with robust, scientifically validated insights into which advertisements, campaigns, and media channels effectively contribute to increased revenue. The platform is equipped with three primary tools: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). Through Incrementality Testing, Stella conducts geo-holdout studies, also known as inverse holdouts, to evaluate performance differences between test and control areas, effectively isolating the causal effects of advertisements as opposed to relying solely on attribution methods. This tool simplifies complex statistical processes, including causal inference and confidence intervals, allowing users to understand the potential outcomes without a specific campaign, thus uncovering the genuine “lift” attributed to each advertisement. Furthermore, its Media Mix Modeling feature employs a unique Bayesian approach to dissect historical marketing expenditures and various external influences, such as seasonality and promotional events, to assess the contribution of each channel to overall sales effectively. By leveraging these advanced methodologies, Stella empowers marketers to make informed decisions based on accurate data analysis.
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