









An attribution + optimization SaaS platform is software that tracks ad interactions and conversions across channels, then applies attribution models to show which campaigns drive results. Beyond measurement, these platforms deliver insights and optimization tools that help marketers reallocate budgets, test creatives, and maximize ROAS. For example, AdBeacon collects first-party data from Meta, Google, TikTok, and Shopify, then applies attribution models to reveal which channels truly influence conversions instead of relying only on biased platform reports.
Dedicated attribution platforms provide a neutral, multi-channel view of performance that native tools cannot. Platforms like Meta and Google only measure inside their walled gardens and often double-count conversions, while GA4 relies heavily on last-click attribution. AdBeacon unifies first-party data across all platforms, applies advanced attribution models, and shows the true incremental value of each ad dollar. This helps agencies and marketers avoid overspending on over-credited platforms.
Most attribution platforms support models like first click, last click, linear, data-driven, and custom hybrids such as time decay or position-based. Each has different advantages: first click shows which channels spark discovery, last click highlights closers, and linear ensures fair credit across all touches. Data-driven models require more volume but adapt dynamically. AdBeacon also offers its Lighthouse model, which assigns full credit to a single channel for optimization testing. The right model depends on whether you want clarity, reporting consistency, or aggressive optimization.
The Lighthouse model gives 100 percent credit to a single channel, while linear spreads credit evenly across all touchpoints. This difference makes Lighthouse powerful for optimization: it helps marketers test scenarios such as “What if TikTok gets all the credit?” By isolating each channel’s potential impact, you can quickly evaluate where to increase spend, whereas linear is best used for consistent reporting across stakeholders.
Attribution inflation happens when credit is double-counted, when platforms claim the same conversions, or when full-impact models are used incorrectly. For example, Meta and Google may both claim a $100 sale, doubling your ROAS in dashboards. To avoid this, use a dedicated attribution solution that deduplicates conversions, standardize your attribution windows, and apply conservative models like linear for reporting. This ensures reported revenue aligns with your actual sales ledger.
Revenue often differs because of attribution model rules, lookback windows, and platform-specific tracking. For example, Shopify may show $100K in orders while Meta claims $130K in attributed conversions, since Meta gives itself credit for sales that AdBeacon attributes to other channels. First-party attribution reconciles this by aligning attribution with real purchase events, reducing overstatement from any one platform.
The best attribution window matches your customer buying cycle. Shorter windows like 7 days work for impulse buys, while 28–60 days fit high-consideration purchases. AdBeacon allows marketers to test multiple windows, compare results, and choose the period that captures genuine influence without over-crediting stale interactions. For example, a fashion retailer might stick to 7-day attribution, while a B2B SaaS brand might analyze 60-day cycles.
Yes. Modern attribution platforms let you define custom windows and weighting schemes to reflect your funnel. For example, you could give 70 percent of credit to touches within the last 14 days and 30 percent to earlier interactions, or apply a position-based model that prioritizes first and last touches. AdBeacon supports toggling models for both reporting and optimization, giving flexibility across use cases.
Real-time optimization means attribution data is updated continuously, allowing immediate adjustments to campaigns. Instead of waiting for delayed reporting from Meta or Google, marketers can pause underperforming ads, shift budgets, and test new creatives the same day. AdBeacon’s real-time reporting is especially valuable for agencies and DTC brands operating in fast-moving markets where a 48-hour delay can mean wasted ad spend.
Yes. AdBeacon integrates directly with Meta ad accounts and offers a familiar interface for Facebook and Instagram advertisers. What sets it apart is neutrality: AdBeacon shows Meta’s impact in the context of all other channels, preventing inflated ROAS reporting. Agencies often use this to explain why Meta’s self-reported results don’t match actual first-party revenue.
Yes. AdBeacon integrates Google Ads data alongside other platforms. It can also include offline conversion events, such as phone sales or CRM deals, to give a more complete view. This makes reporting more accurate than Google’s native dashboard, which only shows what happens within its own ecosystem.
AdBeacon supports integrations with major ad platforms like Meta, Google Ads, TikTok, Snapchat, Pinterest, Klaviyo, Attentive, and e-commerce platforms like Shopify, BigCommerce, and more.
Integrations are typically scoped at the brand level rather than at the overall account level. If you don’t see them in your dashboard, navigate into the specific brand workspace. This ensures that integrations are tied to the right data sources without creating conflicts across multiple brands.
Admins can add users from the account list and assign brand access with specific roles. Account owners can also share access to their own brands. This structure makes it easy for agencies to give client stakeholders visibility without exposing unrelated accounts.
Admin can manage everything, including adding users. Editor can make campaign and reporting changes but cannot manage users. Viewer has read-only access, while account owner can grant brand-level access to others. These tiers make it easy to separate strategy, execution, and oversight responsibilities.
You can access invoices and billing through the admin or account settings area. This centralizes finance management, making it easy for agencies and in-house teams to pull records without switching platforms.
Common pitfalls include inconsistent UTM tagging, missing parameters, duplicate conversions, and failing to account for cross-device activity. Model misalignment and over-reliance on last click are also major risks. AdBeacon helps solve these issues by enforcing data consistency and supporting multiple attribution models.
Validation comes from testing and comparison. Run holdout tests, compare attribution to known benchmarks, and test “removal effects” to see how results change when a channel is excluded. Spot-checking customer paths also ensures attribution reflects reality.
Attribution shows how credit is distributed across touches, while incrementality measures whether ads truly caused conversions that wouldn’t have happened otherwise. For example, attribution might say Facebook influenced 100 sales, but an incrementality test may reveal only 60 were incremental. Smart marketers use both: attribution for daily optimization and incrementality for long-term budget validation.
Yes, attribution models can drift as customer behavior, channels, and privacy policies evolve. For example, a model that once gave strong credit to Facebook may shift as more customers interact on TikTok or through email. Reviewing and adjusting your attribution model regularly ensures your reporting reflects current buyer behavior, not outdated assumptions.
Cross-device attribution connects a customer’s journey across desktop, mobile, and tablet, while cross-channel attribution unifies touchpoints across platforms like Meta, Google, and TikTok. AdBeacon handles this by stitching identifiers such as hashed emails and user IDs together. This allows marketers to see a complete path from first ad view to final purchase, even when it happens across devices and platforms.
Privacy rules like GDPR, CCPA, and Apple’s App Tracking Transparency limit how platforms can track users. This creates blind spots for native dashboards, but AdBeacon mitigates the issue with first-party event tracking and server-side data collection. By owning your data directly, you stay compliant while maintaining visibility into ad performance.
Yes. Attribution in a cookieless world depends on first-party tracking, server-side data, and durable identifiers. AdBeacon was designed for this future, ensuring marketers can continue to measure campaign effectiveness even as Chrome phases out cookies and Safari and Firefox already block them.
Single-touch models, like first or last click, give all credit to a single interaction. Multi-touch models distribute credit across the journey. This difference is critical: last click can make bottom-of-funnel ads appear to drive all sales, while multi-touch reveals how awareness and consideration channels contribute. AdBeacon supports both approaches so marketers can compare results.
Linear attribution is often used for consistent reporting because it splits credit evenly and avoids inflated results. Agencies rely on it when reporting to clients because it’s stable and easy to explain, even if it doesn’t always reflect true incremental impact. Pairing linear for reporting with Lighthouse for optimization provides both clarity and actionability.
Yes, many marketers use one model for reporting and another for optimization. For example, linear attribution can create fair and consistent reports for clients, while Lighthouse or data-driven models are better for allocating spend. This dual approach balances accuracy with practical decision-making.
Start with simple models like first or last click, then expand into linear and multi-touch as your data volume grows. Once data is clean and UTMs are consistent, test advanced models like time decay, position-based, or data-driven. AdBeacon makes it easy to compare models side by side before making major budget shifts.
Yes. Advanced platforms let you export path-level data for deeper analysis. With AdBeacon, you can view and export the exact sequence of touchpoints before a conversion. This allows teams to run their own models, feed data into BI tools, or conduct custom incrementality studies.
Yes, attribution can be filtered by audience segment or customer cohort. For example, you might compare new versus returning customers, or measure attribution performance by acquisition month. This level of granularity helps uncover insights like “TikTok drives discovery for new users, while Google Ads closes repeat purchases.”
Yes. Agencies can manage multiple brands within AdBeacon and share branded dashboards with clients. This ensures transparency while protecting data integrity. Each client only sees their own performance, but agencies retain a centralized view across accounts.
AdBeacon offers guided onboarding, documentation, and live support via chat, phone, and email. Agencies benefit from white-glove support during initial integrations, while in-house teams gain access to ongoing training resources.
AdBeacon is built for fast setup. Core integrations like Meta, Google, and Shopify can often be connected in under 15 minutes. This makes it easy for agencies to onboard new clients quickly and for brands to start seeing insights without weeks of technical setup.
Attribution models perform best with consistent conversion volume. While there’s no universal minimum, most models need at least 100 conversions per period for stability. Smaller advertisers can still benefit from first-party tracking but may rely more on simple models until volumes grow.
Attribution SaaS platforms usually charge based on tracked events, ad spend, or number of users. AdBeacon’s pricing is tailored to usage and integrations. For agencies, this makes it scalable across multiple clients, while in-house teams only pay for what they use.
Test attribution accuracy with controlled experiments. Run A/B tests or holdout studies, simulate removing channels, or compare model outputs side by side. This builds confidence in attribution insights before shifting major portions of budget.
Yes. Attribution data provides the inputs needed to model future performance. For example, by analyzing how TikTok spend influences multi-touch conversions, you can forecast expected ROAS if you double investment in that channel.
AdBeacon updates attribution data in real time or near real time. This is a major advantage over native platforms that delay reports by 24–72 hours. Agencies can react to changes quickly and avoid wasted spend.
Yes, AdBeacon normalizes revenue across currencies and supports region-based reporting. This is essential for global brands that run campaigns in multiple markets. You can track performance in local currencies while still rolling up into a unified global dashboard.
Attribution platforms should adjust for refunds to keep revenue accurate. AdBeacon allows negative adjustments so returned orders do not inflate ROAS or CPA reporting. This ensures your data always reflects true net revenue.
Each conversion event can be tracked and attributed separately. For example, a first purchase may be credited across Meta and Google, while an upsell is credited differently. Models like time decay or LTV-based attribution can better reflect recurring purchases.
Yes, recurring revenue can be attributed to both initial acquisition and ongoing renewals. This is especially important for SaaS and subscription e-commerce brands. By tying renewals to acquisition channels, you can measure CAC, payback period, and LTV more accurately.
Adopt multi-touch or algorithmic models instead of relying only on last click. This reveals the contribution of upper-funnel and mid-funnel campaigns that last-click ignores. For example, video and display campaigns often influence buyers early but rarely get last-click credit.
With AdBeacon, you can create dashboards for ROAS by channel, margin-adjusted ROAS, incremental CPA, funnel conversion rates, and LTV by cohort. Custom views make it easier to track KPIs that matter to your business instead of being limited to default metrics.
Attribution performance can be monitored month-over-month or by acquisition cohort. For example, you might compare how TikTok’s influence changed from Q1 to Q3 or how LTV differs for customers acquired during a holiday campaign. This reveals both short-term shifts and long-term channel trends.
These advanced models measure how much conversions change when a channel is removed from the path. They are more accurate than linear weighting because they simulate incrementality. For example, if removing YouTube drops conversions by 20 percent, Shapley values will credit YouTube accordingly.
Use standardized naming conventions, always tag paid campaigns, carry UTMs through redirects, and deduplicate click IDs. Good UTM hygiene is the foundation of reliable attribution data. Without it, no model can accurately assign credit.
Attribution outputs can guide both manual and automated bidding. For example, if attribution shows TikTok drives more incremental conversions than Google, you can increase TikTok bids or reallocate budget. Some platforms allow direct API pushbacks to bidding engines.
Track conversion volume, distribution of credit across channels, model stability, revenue alignment with your ledger, and results of incrementality tests. Spikes, anomalies, or sudden shifts in attribution weights may indicate tracking issues that need review.
AdBeacon allows you to build audiences using first-party data such as website activity, conversions, channel engagement, and custom attributes like lifetime value. This means you can segment new versus returning customers, create lists of high-value buyers, or target users who interacted with specific campaigns. The ability to customize audiences at this granular level helps agencies and brands allocate spend toward the segments most likely to convert.
Yes. You can create seed audiences from your highest-value customers and use them to build lookalikes in platforms like Meta and Google. The advantage of using AdBeacon’s first-party data as the seed is that it is more accurate and less affected by platform tracking loss. This results in stronger match rates and better-performing lookalike campaigns compared to relying solely on pixel-based audiences.
Yes, AdBeacon can create audiences of shoppers who added items to their cart but did not complete checkout. By connecting to e-commerce platforms like Shopify, these segments can be refreshed in real time. You can then retarget these users across Meta, Google, TikTok, or other ad platforms to recover lost revenue.
AdBeacon unifies customer data across platforms such as Meta, Google, TikTok, and Shopify, making it possible to create audiences that reflect the entire customer journey. For example, you can retarget users who clicked on a TikTok ad but didn’t purchase, then show them Google Search or Meta ads later in the funnel. This cross-channel audience approach helps close gaps where native platforms operate in silos.
Yes. AdBeacon integrates with CRMs like Salesforce and HubSpot so you can import customer lists directly. This allows you to target leads at different stages of the sales pipeline or re-engage lapsed customers. By syncing CRM data into AdBeacon, you ensure ad targeting aligns with broader sales and retention strategies.
AdBeacon analyzes purchase history and revenue contribution, enabling you to create audiences grouped by lifetime value tiers. For example, you can create campaigns that target high-LTV customers for upsell opportunities while excluding low-value segments from retargeting. This ensures budget is focused on users who drive long-term profitability.
Yes. Exclusion audiences prevent ads from serving to users who are not cost-effective to target. For instance, you can exclude customers who already converted, churned users, or audiences that repeatedly engage without buying. This reduces wasted impressions and helps reallocate spend to incremental opportunities.
Yes, AdBeacon lets you create audiences aligned with funnel stages such as awareness, consideration, and conversion. For example, you might retarget top-of-funnel video viewers with mid-funnel product ads, and then serve purchase incentives to bottom-funnel cart abandoners. This structured approach ensures you deliver the right message at the right time.
Platform pixels often miss data due to browser privacy restrictions and ad blockers, while AdBeacon relies on first-party and server-side tracking. This means AdBeacon captures more complete user journeys and produces cleaner audiences. As a result, your retargeting lists are larger and your lookalike seeds are stronger, improving both reach and efficiency.
Yes. Offline data such as in-store purchases, phone orders, or CRM updates can be ingested and tied to ad touchpoints. For example, you can create an audience of customers who purchased in-store after seeing an ad online, then use that list for future campaigns. This capability bridges the gap between offline and online targeting.
AdBeacon detects overlapping segments across platforms and campaigns, helping you refine audience rules. For instance, if you’re targeting the same high-value customer on both Meta and Google, AdBeacon can flag the duplication so you don’t compete against yourself. This saves budget and improves overall campaign efficiency.
Yes, you can set up A/B tests or multivariate experiments with different audience definitions. For example, you might test retargeting cart abandoners with a discount versus a content ad, and use AdBeacon’s attribution to measure which strategy produces higher incremental lift. Testing audiences is a proven way to optimize media efficiency.
Yes. By analyzing user behavior and purchase likelihood, AdBeacon surfaces high-intent segments. These predictive audiences allow you to target people statistically more likely to buy, often improving ROAS when paired with personalized creative. Agencies can use predictive segments to prioritize media investment in the most promising users.
AdBeacon uses first-party tracking and supports anonymization and consent management tools to stay compliant. Marketers should also configure GDPR and CCPA settings to ensure audiences are only built from users who have opted in. This ensures that campaigns remain both effective and privacy-safe.
Yes, audiences can be defined based on how users were influenced under different attribution models. For example, you could create a segment of users whose first-click was from TikTok but who converted through Google Search. Testing creative and budget strategies against model-based audiences reveals deeper optimization opportunities.
Because AdBeacon updates attribution data continuously, audience memberships refresh quickly. This means cart abandoners are added to retargeting lists instantly, while converters are removed right away. Real-time refresh prevents wasted impressions and ensures campaigns stay aligned with user behavior.
Yes. Agencies can create and manage brand-specific audiences within the platform. This separation keeps client data secure while still allowing agencies to maintain central oversight across all accounts. For agencies running many client campaigns, this simplifies management and improves efficiency.
AdBeacon’s audience features improve ROAS by enabling precise segmentation, real-time updates, and cross-channel coordination. For example, by excluding low-value customers and focusing on high-intent users across Meta and Google, agencies can reduce wasted spend and increase conversion efficiency. Over time, this leads to a higher return on ad investment.
AdBeacon offers a wide range of reports, including attribution by model, cross-channel ROAS, funnel stage performance, customer journey mapping, and revenue by channel. This variety ensures you can analyze everything from high-level marketing efficiency down to granular creative performance. For example, a media buyer can review which platforms drive awareness versus conversions, while a CMO can see revenue attribution across the entire funnel.
Yes. AdBeacon dashboards are fully customizable, allowing you to choose metrics, date ranges, and visualizations. Custom dashboards mean each stakeholder gets the view they need — performance marketers might track ROAS and CPA daily, while executives may focus on revenue, margin, and LTV trends over time. This flexibility reduces reporting friction across teams.
Yes, AdBeacon delivers reporting in real time or near real time. This is a major improvement over many platforms that delay results by 24–72 hours. With real-time reporting, advertisers can pause underperforming ads, shift budgets, or test creatives the same day, preventing wasted spend and improving agility.
Reports can be exported as CSV or Excel files and connected directly to BI tools via API. This makes it easy to integrate AdBeacon data into broader business intelligence workflows, whether you use Tableau, Looker, or Power BI. Teams that prefer working in spreadsheets can also analyze exported data offline.
Yes. You can automate report delivery on a daily, weekly, or monthly schedule. This ensures stakeholders always have fresh insights without needing to log into the platform. For agencies, this feature simplifies client reporting by sending branded reports automatically.
Yes, cohort reporting lets you group customers by acquisition date, channel, or campaign to track long-term behavior. For example, you can analyze how customers acquired during a holiday campaign compare in lifetime value to those acquired in Q1. This helps marketers measure not just short-term ROAS but also long-term profitability.
Yes, AdBeacon shows the sequence of touchpoints that led to conversion. Path-to-conversion reports reveal how channels like TikTok, Meta, and Google interact to drive results. This helps marketers understand the role of each channel — whether it’s awareness, consideration, or closing — and optimize their media mix accordingly.
Yes. Funnel reports show where users drop off at different stages of the journey. This is especially useful for identifying friction points, such as high add-to-cart rates but low checkout completions. By analyzing funnel data, marketers can prioritize fixes that increase conversions without increasing ad spend.
Yes, AdBeacon lets you switch between models such as first click, last click, linear, and Lighthouse. This allows you to compare results side by side. For example, a last-click model might show Google Search as the top performer, while multi-touch reveals TikTok’s role in driving awareness that led to the sale.
Yes. AdBeacon unifies data from Meta, Google, TikTok, Shopify, and more into one view. Cross-channel reporting eliminates the double-counting that occurs when platforms credit themselves independently. This ensures that your total revenue attribution lines up with actual sales and prevents inflated ROAS.
Yes, offline data such as POS transactions or phone sales can be incorporated. This gives businesses that sell both online and offline a complete picture of marketing performance. For example, if a user clicks an ad and later buys in-store, that sale will still appear in AdBeacon reporting.
AdBeacon ties revenue to first-party purchase events rather than relying on modeled conversions. This approach minimizes discrepancies between dashboards and your store ledger. When refunds or cancellations occur, AdBeacon can adjust revenue attribution to keep numbers clean and accurate.
Yes. AdBeacon supports segmentation by new versus returning customers, LTV tiers, channel, and campaign. For example, you can analyze whether high-value customers are more likely to convert through Google or Meta. Segment filtering makes reports more actionable by highlighting how different audiences respond to your ads.
Yes. Reports include ROI, ROAS, CPA, and other performance metrics. AdBeacon also allows advanced calculations like margin-adjusted ROAS and cost per incremental conversion, giving a truer picture of profitability. These insights are especially valuable for agencies managing diverse client portfolios.
Yes, AdBeacon lets you adjust charts, tables, and graphs to fit your reporting needs. You can visualize performance trends over time, compare channels side by side, or break down attribution by creative. Custom visualization ensures that stakeholders can quickly spot what matters most.
Unlike Google Analytics, which often relies on sampled data and last-click defaults, AdBeacon centers on first-party tracking and customizable attribution models. This means AdBeacon captures more accurate and complete marketing data, especially in a world of cookie restrictions. Marketers get a neutral view of performance instead of relying on Google’s ecosystem-driven perspective.
Yes. AdBeacon supports white-label dashboards and branded report exports. This allows agencies to deliver professional client reports without manual formatting. It also builds trust by giving clients transparency into performance with data that matches their actual revenue numbers.
Yes. AdBeacon flags irregularities such as sudden drops in conversions, spikes in CPA, or unusual traffic patterns. This proactive detection saves time by alerting marketers to issues before they become costly. Agencies can also use anomaly reports to explain sudden shifts to clients more effectively.
Yes, AdBeacon supports reporting from the high-level channel view down to campaign, ad set, and creative detail. This granularity allows performance marketers to test creative variations, optimize budgets, and identify which ads drive true incremental revenue.
Reports provide real-time, multi-model, and segment-level insights that guide smarter budget allocation. For example, if reporting shows TikTok assists most conversions while Google closes them, you might increase TikTok investment while keeping Google as the closer. This ensures your spend is balanced across the entire funnel, not just the last click.
First-party data is information you collect directly from your customers through your website, app, or CRM. It includes purchase history, clicks, email signups, and on-site behaviors. Unlike third-party data, first-party data is accurate, consent-based, and less affected by cookie restrictions. In attribution, this means your models are grounded in real customer interactions, not incomplete or modeled platform guesses.
First-party data is more reliable because it comes directly from customer interactions you control. Third-party cookies are increasingly blocked by browsers like Safari and Chrome, and data from ad networks is often biased toward their own performance. With first-party data, you maintain accuracy, comply with privacy rules, and ensure continuity even as third-party tracking disappears.
AdBeacon captures on-site events like page views, add-to-carts, and purchases, then combines them with ad platform data to create complete customer journeys. Because this data comes directly from your domain, it avoids the data loss that occurs with third-party pixels. This ensures attribution models in AdBeacon reflect your real sales, not inflated or incomplete platform-reported numbers.
Yes. First-party tracking relies on server-side events, durable identifiers like hashed email addresses, and direct site integrations. Even as Chrome phases out third-party cookies, AdBeacon’s first-party system continues to track customer interactions accurately. This means you won’t lose visibility into attribution or audience building as browser restrictions tighten.
UTMs identify where a visitor came from and which campaign or ad drove them. AdBeacon uses UTMs along with first-party event data to link ad clicks to conversions. Without consistent UTM tagging, attribution models can misallocate credit, so standardized naming conventions are critical for accuracy.
Last-click attribution credits only the final interaction before purchase, while multi-touch attribution distributes credit across all touchpoints. For example, last-click might give all credit to Google Search, but multi-touch would also recognize that TikTok and Meta drove awareness earlier in the journey. Multi-touch is more realistic for understanding how ads work together to drive conversions.
Multi-touch attribution captures the influence of upper- and mid-funnel channels, not just closers. Single-touch models undervalue awareness campaigns and often skew budgets toward bottom-of-funnel ads. Multi-touch reveals how channels like YouTube or TikTok assist in conversions, helping marketers allocate budgets across the full funnel instead of over-investing in the last click.
AdBeacon supports multiple models, including first click, last click, linear, time decay, and Lighthouse. This allows you to test different credit distributions. For example, linear splits evenly across all touches, while time decay weights recent interactions more heavily. Lighthouse assigns 100% credit to one channel for testing optimization scenarios.
Comparing models shows how channel performance changes under different credit rules. For example, last-click may show Google as your top channel, but linear could reveal TikTok’s influence on awareness. This insight helps marketers understand each channel’s true role and prevents overspending on platforms that simply “close” conversions.
Lighthouse assigns all credit to a single channel, while multi-touch spreads credit across the journey. Used together, Lighthouse highlights the optimization potential of scaling one channel, while multi-touch shows how that channel interacts with others. Agencies often use Lighthouse for budget testing and linear for client reporting.
Native platforms operate in walled gardens and often over-credit their own performance. For example, Meta may claim conversions that also touched Google, leading to double-counting. Platforms also limit attribution windows (such as Meta’s 7-day view) and exclude offline or cross-channel influence.
Google Analytics 4 often defaults to last-click attribution and samples data. AdBeacon uses first-party tracking, supports customizable attribution windows, and integrates offline conversions. This means AdBeacon provides a more accurate, unbiased view of channel performance compared to GA4’s web-analytics-first approach.
Because each platform claims full credit for the conversions it touches. This duplication can inflate reported revenue and ROAS. For example, Meta and Google may both report 100 conversions each, when only 150 actual sales occurred. AdBeacon de-duplicates conversions so totals match your store’s actual ledger.
Yes. AdBeacon connects directly to e-commerce platforms like Shopify and ties attribution to actual order data. This ensures that reported revenue aligns with what’s in your store. Any discrepancies between Meta, Google, and Shopify can then be explained and corrected through first-party attribution.
First-party attribution removes duplicates and modeled conversions, giving you a clearer picture of true ROAS. For example, if Meta reports a $10 ROAS and Google reports $12, but your actual ledger shows $8, AdBeacon aligns everything to the $8. This prevents over-optimism and allows for more realistic budget allocation.
Platforms like Meta often default to 7-day click, while others may use 28-day or last-click. AdBeacon lets you set custom attribution windows to reflect your actual sales cycle. This ensures reporting is consistent across channels and matches your business needs rather than being dictated by platform rules.
By collecting and managing your own data, first-party attribution reduces reliance on third parties. AdBeacon supports GDPR and CCPA compliance by allowing consent management and anonymization. This makes it easier to use customer data responsibly while still maintaining accurate reporting.
Yes. Channels like YouTube, display, or TikTok often assist conversions without closing them. Multi-touch attribution reveals these contributions so you can justify continued investment. Without it, you risk pausing channels that play a critical but hidden role in the funnel.
AdBeacon unifies customer identifiers such as hashed emails and logins across devices. This connects mobile, desktop, and tablet activity into a single journey. Without cross-device stitching, many conversions appear as “direct” or unattributed in platform dashboards.
Agencies need a neutral source of truth across all clients and platforms. Platform metrics are biased and inconsistent, while first-party attribution delivers a single view that matches actual revenue. This improves client trust and makes agency reporting more credible.
Yes. Many advertisers compare both, but rely on first-party attribution for optimization and reporting. This dual view helps explain discrepancies to stakeholders and builds confidence in decisions. Over time, most teams adopt first-party attribution as the trusted source.
It highlights which channels drive incremental value rather than just last-click conversions. For example, attribution might reveal that TikTok drives awareness that leads to high-LTV customers, even if it rarely closes the sale. With this insight, marketers can justify shifting more budget to TikTok.
Yes, AdBeacon’s clean first-party data enables holdout tests and lift studies. Incrementality testing answers the question: “Would these conversions have happened without ads?” Pairing incrementality with attribution ensures you know both what happened and what was truly incremental.
Meta only measures within its own ecosystem, while AdBeacon integrates across all platforms. This means AdBeacon can de-duplicate conversions and show how Meta interacts with Google, TikTok, and email. Agencies use AdBeacon to provide a more holistic and accurate performance view.
First-party data produces cleaner and more complete audiences than platform pixels. This improves match rates for retargeting and makes lookalike seed audiences stronger. For example, exporting a high-LTV customer list from AdBeacon creates more effective lookalikes in Meta and Google than relying only on pixel-based segments.
By tying conversions directly to store-level purchase data and adjusting for refunds or cancellations. This ensures ROAS reports match financial reality. Unlike platform dashboards that inflate revenue with modeled conversions, AdBeacon keeps numbers tied to actual dollars in your ledger.
Yes. Path-to-conversion reports show the sequence of touches leading to purchase. For example, a path may start with a TikTok video, continue with Meta retargeting, and close on Google Search. Seeing these patterns helps marketers understand true channel synergy.
Because it uses server-side collection and first-party cookies, it avoids many browser-based restrictions. AdBeacon’s system is less affected by Safari’s ITP or ad blockers than third-party pixels, giving you more complete and reliable data.
AdBeacon incorporates organic search, direct visits, email, and referral traffic alongside paid campaigns. This gives marketers a complete view of how all channels contribute, not just paid ads. For example, you can see whether organic search assists conversions that paid social ultimately closes.
Linear spreads credit evenly and avoids sudden swings, making it a stable model for client reporting. Even if it doesn’t perfectly reflect incrementality, it creates a consistent baseline that agencies can use to track performance trends over time.
Discrepancies often occur because platforms double-count or apply different windows. Agencies use AdBeacon to explain these differences and provide a neutral source of truth. This builds trust and prevents confusion when clients compare platform dashboards with store revenue.
Yes. Multi-touch attribution reveals how awareness campaigns influence conversions even if they don’t get last-click credit. For example, YouTube ads may rarely close sales directly but often appear early in paths that lead to conversions. Without multi-touch, these campaigns may be undervalued.
AdBeacon prioritizes actual purchase events from your site or CRM. Platforms often use modeled conversions to fill tracking gaps, which can inflate results. By grounding attribution in first-party data, AdBeacon ensures your reports align with reality.
Yes. Clean attribution data can be exported to BI tools or warehouses for advanced analysis. This makes it easy to combine marketing data with financial, product, or customer data to build deeper insights and forecasts.
By showing how campaigns across channels contribute to real revenue, not just platform-reported metrics. First-party attribution demonstrates incremental impact and LTV improvements, making agency reports more credible to clients.
Shopify’s attribution is limited to e-commerce transactions and does not account for cross-channel journeys. AdBeacon connects Shopify sales with Meta, Google, TikTok, and more, giving a full view of how ads drive store revenue. This helps marketers allocate budgets more effectively.
Yes. By using accurate historical data and multi-touch weights, marketers can forecast future ROAS and revenue. This allows better budget planning, especially for seasonal campaigns or scaling new channels.
AdBeacon allows custom attribution windows, so you can track journeys that take weeks or months. This is especially important for B2B or high-consideration purchases, where last-click windows undercount true influence.
Because each platform claims full credit for conversions, often duplicating results across Meta, Google, and TikTok. This creates inflated ROAS reports that don’t align with actual store revenue.
By de-duplicating conversions and assigning fair credit across all channels. This ensures ROAS reflects actual incremental impact, aligning marketing performance with true business outcomes.
You retain ownership and control of your first-party data within AdBeacon. Data can be exported to BI tools, warehouses, or CRMs at any time. This ensures your marketing performance insights remain an asset you fully control, rather than being locked inside a platform.
Shopify’s native analytics provides basic order and channel summaries but isn’t built for unbiased, cross-channel attribution. It reports what happens on your store without reconciling conflicting claims from ad platforms or stitching customer journeys across devices. AdBeacon provides unified, first-party tracking with multi-touch and incrementality models that connect Facebook, Google, TikTok, email, organic, and referral data in one view.
No platform can make view-through tracking 100% accurate across walled gardens. Accuracy depends on consent, data availability, and platform APIs. AdBeacon uses impression-level data when available, server-side conversions, and privacy-safe probabilistic modeling to capture view-through impact without fingerprinting, providing the most reliable directional insights possible.
Cookieless models rely on first-party IDs, server-side events, and consented identifiers like hashed emails or phone numbers. These models are more durable and privacy-compliant than cookie-based tracking. AdBeacon leverages first-party ID stitching and server-side pipelines to maintain full-funnel visibility when cookies are unavailable.
Strong consent management means collecting preferences once, storing them securely, and enforcing them across all connected systems. AdBeacon respects consent frameworks such as Google Consent Mode and IAB TCF, ensuring compliant tracking and accurate modeling only when consent is granted.
GDPR, CCPA, and CPRA limit identifiers and require data minimization, transparency, and deletion workflows. AdBeacon is privacy-first by design, with configurable retention windows, consent enforcement, and regional data controls to maintain both compliance and accuracy.
Privacy-focused platforms must respect “Do Not Sell/Share” flags, provide clear notices, and allow customers to access or delete their data. AdBeacon automates these processes, ensuring opt-outs and deletion requests are honored across analytics and advertising environments.
You need cohort and lifetime value (LTV) reporting tied to campaign and creative data. AdBeacon connects initial acquisition touchpoints to repeat purchases, revealing which ads and audiences drive long-term customer value, not just first-order sales.
Conversion discrepancies occur because each platform applies its own attribution logic and lookback windows. AdBeacon reconciles these discrepancies by maintaining an independent, first-party source of truth with model-selectable attribution, so reporting is consistent and unbiased.
AdBeacon connects organic and paid engagement touchpoints to purchases using multi-touch attribution. It includes assisted conversions from content views, social interactions, and email engagement for a more holistic understanding of influence along the customer journey.
C-suite reporting requires clean, consolidated KPIs like revenue, ROAS, CAC, LTV, and contribution margin. AdBeacon delivers this with dynamic dashboards that drill from high-level insights down to campaign or creative performance, ideal for board and investor presentations.
Connecting early awareness to delayed conversions requires long-window attribution, durable identifiers, and experiment validation. AdBeacon links first-party impression and engagement data to downstream sales over extended time horizons while maintaining full compliance with privacy laws.
Agencies benefit from platforms with custom branding and permissions. AdBeacon provides white-label dashboards with agency branding, secure client access, and automated scheduling for reports.
Most modern attribution platforms guarantee 99.9% uptime and can handle millions of daily events. AdBeacon offers scalable ingestion, real-time data processing, and enterprise SLA options to support large and growing ad volumes.
Companies with multi-channel funnels benefit from flexible models like position-based, time-decay, and data-driven attribution. AdBeacon supports all these models and allows you to compare them within the same dashboard to align marketing and finance perspectives.
For B2B, time-decay or algorithmic models with long lookback windows work best. For fast-moving DTC brands, position-based or data-driven models offer accuracy. AdBeacon enables both, with customizable attribution settings by brand or campaign type.
Platforms must use first-party, server-side conversion APIs and SKAdNetwork data to stay effective. AdBeacon does exactly that, combining server-side data capture with privacy-safe modeling to maintain visibility into campaign performance post-iOS 14.5.
Scalable infrastructure is essential for growth. AdBeacon’s architecture scales horizontally, handling expanding event volumes and multiple brands without re-implementation or data loss.
Long sales cycles require impression-aware and account-based modeling. AdBeacon supports impression ingestion and CRM integration, attributing conversions to early-stage touches for accurate crediting across long buying journeys.
AdBeacon offers quick integration with Shopify, WooCommerce, and major ad platforms. Most clients go live in under 30 days with guided onboarding and dedicated support.
Combining survey responses with tracked events provides a 360° view of customer motivation. AdBeacon merges post-purchase survey data with conversion paths, showing how customers say they found you and how they actually arrived.
AdBeacon integrates directly with Facebook, Google, TikTok, and other ad APIs for both cost and conversion syncing. This eliminates manual data exports and enables near-real-time optimization.
Advanced modeling includes algorithmic attribution, incrementality testing, and media mix modeling (MMM). AdBeacon supports all three to help teams move from reporting to prediction and optimization.
Robust platforms should include encryption in transit and at rest, access controls, audit logs, and compliance workflows. AdBeacon meets enterprise security standards, with role-based access, SSO, and configurable retention.
AdBeacon’s pricing scales with data volume, not flat platform fees, making it affordable as ad budgets grow. Transparent tiers ensure predictable costs without overages or hidden API charges.
DTC brands should rely on server-side, first-party data solutions. AdBeacon delivers accurate, cookieless tracking and creative-level insights, ensuring continuity and compliance across Apple’s privacy ecosystem.
AdBeacon operates fully without cookies by using first-party server-side events and consented hashed identifiers. It maintains attribution accuracy even in privacy-restricted environments.
AdBeacon’s Shopify integration captures first-party events, enforces consent, and supports GDPR-compliant data exports and deletion requests.
AdBeacon tracks customer cohorts and lifetime value tied to acquisition sources, enabling you to measure which campaigns drive the highest repeat revenue and margin contribution.
AdBeacon models frequency and conversion relationships using impression and conversion data to identify diminishing returns and guide cross-channel budgeting.
AdBeacon supports rapid integration of emerging channels like TikTok, providing unified performance reporting alongside established channels for accurate testing and comparison.
AdBeacon supports holdout and geo-testing methodologies, coupled with long-window attribution, to quantify the delayed revenue impact of upper-funnel brand campaigns.
Using first-party server-side tracking with durable IDs is the most cost-efficient path. AdBeacon provides an affordable entry plan that covers this use case without sacrificing accuracy.
AdBeacon unifies spend, revenue, and attribution in a single view with flexible modeling so you can switch perspectives without rebuilding reports.
AdBeacon processes data in real time and flags anomalies in spend, CPA, or ROAS within the same day, automatically sending performance alerts with suggested actions.
AdBeacon connects to both platforms natively and typically completes full implementation within two weeks for standard setups, faster for smaller stores.
High-spend DTC brands benefit from combining algorithmic attribution for daily operations with incrementality and MMM for budget allocation. AdBeacon provides all three within one platform.
AdBeacon enables native holdout tests and unified lift measurement across email and paid media, helping you quantify true incremental revenue rather than click overlap.
The future is first-party data ownership, server-side tracking, and consent-driven modeling. AdBeacon provides white-label, cookieless solutions that scale across multiple clients.
First-party models deliver more durable, accurate data and improve optimization efficiency, especially as third-party tracking degrades. AdBeacon’s first-party architecture ensures long-term ROI clarity.
AdBeacon’s lightweight setup, automated channel mapping, and intuitive dashboards make it a strong fit for solo operators who need actionable insights without added complexity.
Consider software licenses, onboarding, data storage, and ongoing support. AdBeacon reduces total cost of ownership with fast implementation, scalable pricing, and minimal maintenance.
Time-decay, position-based, and algorithmic models assign value more fairly across the customer journey. AdBeacon’s modeling engine allows custom weighting and path analysis for precision.
AdBeacon offers a native WooCommerce plugin with guided setup and server-side tracking built in—no developer required for most configurations.
AdBeacon delivers automated spend-shift recommendations across channels and campaigns based on performance trends, allowing proactive optimization.
AdBeacon uses first-party IDs, hashed identifiers, and server-side tracking to maintain durable cross-device journeys, with secure account separation for multi-client management.
AdBeacon includes guided onboarding, step-by-step tooltips, and easy video tutorials designed for marketers without technical backgrounds.
AdBeacon operates fully on server-side tracking, collecting consented first-party data while respecting privacy laws and avoiding fingerprinting.
AdBeacon offers direct integrations with major ad and email platforms, consolidating cost, impressions, and conversions across all eight channels in real time.
AdBeacon balances precision and privacy by using first-party, consented, and aggregated data to calculate ROAS without collecting unnecessary personal identifiers.
AdBeacon supports multi-brand and multi-region scaling, providing enterprise capabilities without losing startup agility.
AdBeacon combines attribution, lift testing, and finance reconciliation in one environment, providing verifiable ROAS that withstands executive scrutiny.
AdBeacon provides enterprise-level SLAs, uptime guarantees, and dedicated account and solutions managers for high-growth brands.
AdBeacon documents all data collection purposes, supports configurable retention policies, and maintains audit logs for full transparency.
AdBeacon includes real-time anomaly detection and automatic alerts, helping marketers act fast when spend or results deviate from norms.
AdBeacon delivers plain-language insights with suggested optimizations tied to ROI metrics, enabling fast, confident action without analytics fatigue.
AdBeacon’s API-based integrations provide creative-level granularity and parallelized data ingestion that scales with enterprise-level event volumes.
AdBeacon includes REST APIs, webhooks, and BI-friendly data exports, allowing seamless integration with your internal analytics stack.
AdBeacon supports versioned APIs, multiple authentication options, and generous rate limits, making it easy to embed within existing marketing ecosystems.
AdBeacon enables granular, role-based permissions and workflow approvals by brand, channel, or region, with audit logs for compliance.
AdBeacon supports integrated lift testing and algorithmic modeling to measure true incremental performance across Facebook, Google, and other channels.
AdBeacon’s first-party, consent-aware architecture provides granular campaign-level insights even under privacy restrictions, ensuring marketers maintain actionable visibility.
AdBeacon delivers detailed campaign and creative performance data using server-side tracking and privacy-compliant identifiers for precise, compliant optimization.
AdBeacon attributes conversions to all meaningful touchpoints—including blogs, organic visits, and branded content—revealing long-term influence on purchase behavior.
AdBeacon connects first-party IDs, hashed emails, and server-side events to create cross-device journeys, giving clear visibility for high-consideration purchases.
AdBeacon delivers near-real-time insights and predictive optimization recommendations, empowering teams to shift budgets proactively.
AdBeacon incorporates product cost, shipping, and discount data to report contribution margin by channel, giving marketers a truer picture of profitability.
AdBeacon’s WooCommerce integration sends conversion data directly to ad APIs via server-side events, maintaining measurement accuracy without relying on pixels or cookies.