Quick note on naming: Revealbot rebranded as Bïrch in 2024 to reflect its expanded multi-platform positioning, but the product is still widely searched and referenced as Revealbot by performance marketers who’ve used it for years. This guide uses both names interchangeably — Revealbot for search clarity and Bïrch where the current branding applies.
Every performance marketer has experienced the same loop: check the dashboard, see that a campaign’s ROAS has dropped, manually pause the underperforming ad sets, scale the ones that are working, adjust budgets, repeat tomorrow. On a small account with one platform and a few campaigns, this is manageable. On a medium-to-large account spanning Meta, Google, TikTok, and Snapchat with dozens of campaigns and hundreds of ad sets, it’s an operationally impossible task without automation.
Revealbot (Bïrch) solves the paid media automation problem that platform-native automation can’t fully address. Meta’s Automated Rules, Google’s automated bidding, and TikTok’s optimization features are real and useful — but they’re siloed within their own platforms, limited in their logic complexity, and not designed to be customized the way a sophisticated media buyer needs. Revealbot sits above all of these platforms and provides a single interface for building the automation logic that operates across your entire paid media stack.
In 2026, the platform is firmly positioned as a premium automation OS for performance advertisers — particularly DTC brands and agencies managing six- and seven-figure monthly ad budgets across multiple platforms. Its rule-based architecture gives experienced media buyers precisely the control they need to codify their optimization strategies into automated workflows that run 24/7 without manual intervention.
This guide covers everything you need to run a sophisticated paid media operation with Revealbot — from building your first automation rules through advanced creative analytics, multi-platform management, and agency-scale reporting.
1. What Is Revealbot and Why Performance Marketers Rely on It
The fundamental value proposition of Revealbot is straightforward: automate the optimization decisions that your performance marketing strategy already knows how to make, so you can execute them consistently at the speed data requires rather than at the speed your team can manually check dashboards.
Most experienced media buyers have an internal playbook — a set of rules they apply when reviewing campaign performance. If ROAS drops below 2.0 for three consecutive hours, pause the ad set. If a new creative is spending but hasn’t hit 50 impressions, let it run before judging. If ROAS exceeds 3.5 on a Friday, increase the budget by 20% to capture weekend momentum. These are exactly the kinds of decisions Revealbot automates — turning your mental optimization playbook into executable rules that run continuously.
Rule-Based Automation: Precision Over Gut Feel
What differentiates Revealbot’s automation from platform-native automation is the granularity and flexibility of the rule logic. The platform supports over 30 condition types, time-based triggers, custom metrics through Metric Pools, and complex Boolean logic with multiple nested conditions. Rules can trigger on individual ad performance, ad set performance, campaign performance, or account-level aggregates — and actions can include pausing, reactivating, adjusting budgets by fixed amounts or percentages, duplicating high-performing elements, or sending alerts without taking automatic action.
The rule preview feature allows you to test a rule’s logic against your historical data before activating it — showing you every instance in the past 7, 14, or 30 days where the rule would have triggered and what action it would have taken. This is an extremely valuable quality control step that prevents the deployment of rules with unintended consequences.
Multi-Platform Coverage: One Dashboard, Four Channels
Revealbot covers Meta (Facebook and Instagram), Google Ads, TikTok Ads, and Snapchat Ads from a single interface. This multi-platform coverage is what justifies the platform investment for agencies and brands that run significant spend across multiple channels — rather than maintaining separate automation logic in each platform’s native tools, you build your optimization logic once and apply it consistently across all channels.
The cross-platform management also enables unified reporting and analysis. Comparing creative performance across Meta and TikTok in the same report, applying consistent performance metrics to budget decisions across Google and Meta, and monitoring the full account health across all channels simultaneously — these capabilities change how a performance marketing team operates at scale.
Who Revealbot Is Built For
Revealbot is explicitly built for experienced performance marketers who already understand paid media fundamentals and want to automate their existing strategies, not for beginners looking for AI to make decisions on their behalf. The platform rewards users who come in with clear optimization logic — specific ROAS targets, defined budget thresholds, understood CPA ranges — and want to translate that logic into automated rules.
The ideal user profiles are DTC brands managing $20K–$500K+ per month in paid media spend across multiple platforms, performance marketing agencies managing multiple client accounts, and in-house media teams at companies where paid advertising is a primary revenue channel. Below $10K/month in ad spend, the efficiency gains from automation typically don’t justify the platform cost. Above that threshold, the value compounds quickly as automation prevents the budget waste and missed scaling opportunities that manual management can’t fully catch.
2. Building Your First Automation Rule
The rule builder is Revealbot’s core interface, and understanding how to construct effective rules is the primary skill to develop when starting with the platform.
Rule Structure: Condition → Action
Every Revealbot rule follows the same logical structure: IF [condition(s)] THEN [action], applied to [campaign level] on [schedule]. Conditions can be simple (ROAS < 2.0) or complex (ROAS < 2.0 AND Cost Per Purchase > $45 AND Impressions > 500 AND Days Since Launch > 3). Actions include pause, enable, adjust budget, adjust bid, send notification, or duplicate.
The schedule defines how frequently the rule checks conditions — every hour, every 3 hours, every 6 hours, daily, or at a custom interval. The right check frequency depends on the rule type: scaling rules based on daily ROAS typically run once or twice daily, while budget protection rules that prevent overspend should run hourly.
Start with the simplest rules that address your most common manual interventions. If you find yourself regularly pausing ad sets that have spent $50 without a single purchase, that’s your first rule. If you regularly scale budgets when Saturday ROAS exceeds your weekly average, that’s a rule. The fastest path to value is automating the decisions you already make frequently.
Key Metrics: CPM, CPA, ROAS, CTR, and More
Revealbot exposes the full range of platform performance metrics in its condition builder — CPM, CPC, CTR, CPA, ROAS, Reach, Frequency, Amount Spent, Impressions, Conversions, and dozens more. For Meta campaigns, this includes all custom conversion events you’ve configured. For Google, it includes search-specific metrics like Quality Score and impression share.
The Metric Pools feature allows you to define custom composite metrics — for example, a blended ROAS that combines Meta and Google revenue for a campaign running on both platforms — and use those custom metrics in rule conditions. This is particularly powerful for agencies that track campaign performance using blended metrics across channels rather than platform-specific metrics in isolation.
Setting Lookback Windows and Check Frequencies
Lookback windows define the time period over which a metric is evaluated when a rule checks. A rule that evaluates ROAS “over the past 3 days” produces different results than a rule evaluating ROAS “today” or “over the past 7 days.” Shorter lookback windows are more reactive — they catch performance changes quickly but may trigger false alarms on normal day-to-day variability. Longer lookback windows are more stable — they reflect genuine performance trends but respond more slowly.
The right lookback window depends on your account’s typical variance, your campaign objectives, and how quickly you need to respond to performance changes. For campaigns with stable, high-volume performance data, shorter windows work well. For lower-volume campaigns where daily performance is naturally more variable, longer windows prevent over-optimization.
3. Scaling Rules: Increasing Budget on Winners
Budget scaling is where Revealbot pays for itself most directly. The ability to systematically increase spend on ad sets that are hitting performance targets — automatically, when the data supports it, even during hours when no one is watching the dashboard — captures revenue opportunities that manual management consistently misses.
Rule: Scale Budget When ROAS Exceeds Target
The canonical scaling rule: IF ROAS > [target] AND Amount Spent > [minimum threshold] AND Impressions > [minimum threshold] THEN Increase Daily Budget by [X%] with a maximum cap of [maximum budget]. The conditions beyond the ROAS threshold are important. Requiring a minimum spend ensures the rule only scales campaigns with enough data to make the ROAS reading reliable. Setting a maximum budget cap prevents a runaway spend situation where the rule keeps scaling beyond what your economics support.
A typical configuration for a DTC e-commerce brand with a 3.0 ROAS target: IF ROAS (last 3 days) > 3.5 AND Amount Spent (today) > $150 AND Conversions (last 3 days) > 5 THEN Increase Daily Budget by 15% with a maximum daily budget of $2,000.
Logarithmic vs. Fixed Budget Increases
Revealbot supports both fixed amount budget increases (add $50 to the daily budget) and percentage-based increases (add 15% to the daily budget). For most scaling applications, percentage increases are preferable because they scale proportionally with the campaign’s current spend level — a 15% increase on a $200/day campaign is $30, a 15% increase on a $1,000/day campaign is $150, both appropriate to their respective scales.
Some sophisticated operators use a tiered scaling approach: smaller percentage increases (10–15%) for campaigns just above the ROAS target, larger increases (25–30%) for campaigns significantly exceeding it. This logarithmic scaling reflects the economic logic of paid advertising — campaigns that are performing extremely well above target are potentially demand-constrained and can absorb larger budget increases while maintaining efficiency.
Safeguards: Daily and Lifetime Budget Caps
Every scaling rule should include budget caps — both daily maximums and rate-of-change limits — to prevent automated rules from creating situations that exceed your financial controls. The maximum daily budget cap on each scaling rule is the primary protection against runaway spend. Pair this with a maximum daily increase rule (a rule that triggers an alert or pause if any single campaign’s budget increases by more than X% in a 24-hour period) for additional protection.
4. Pausing Rules: Protecting Budget from Underperformers
The defensive application of automation — pausing underperforming ads before they drain budget — is as important as the offensive scaling application and often more immediately impactful when first deploying automation.
Pause on High CPA Without Conversions
The most universally applicable pause rule: IF Amount Spent > [your CPA target × 2] AND Conversions = 0 THEN Pause. This rule prevents any ad set from spending more than twice your target CPA without producing a single conversion. The spend threshold scales with your CPA target automatically — a campaign with a $30 CPA target pauses at $60 spent without a conversion, while a campaign with a $150 CPA target pauses at $300.
This rule should almost always run on a shorter lookback window (today or last 24 hours) and at a higher check frequency (every 2–3 hours) to catch and stop budget waste quickly. The cost of false positives — pausing an ad set that would have eventually converted — is generally lower than the cost of true negatives — letting a non-converting ad set continue spending.
Time-of-Day Performance Rules
Many accounts show significant performance variation by time of day — ROAS might be consistently strong from 8 AM to 10 PM and weak between midnight and 6 AM. Rather than relying on platform dayparting settings (which are less flexible), Revealbot allows you to build time-aware rules that pause campaigns or reduce budgets during low-performance hours and re-enable them during high-performance periods.
A practical configuration: Pause campaigns IF [current time is between midnight and 6 AM] AND ROAS (last 7 days during these hours) < [target]. Enable campaigns IF [current time is 6 AM] AND Rule [pause rule] is active. This creates a dayparting automation that responds to actual performance data in your specific account rather than generic time-of-day settings.
Frequency Cap Automation
Audience fatigue — measured by high ad frequency — is one of the most common reasons for Meta ad performance deterioration. When your audience has seen your ad too many times, CTR drops, costs rise, and ROAS falls. A frequency-based pause or creative rotation rule addresses this before it becomes a budget problem.
A typical frequency rule: IF Frequency > 4.0 (last 7 days) AND ROAS (last 3 days) < [declining threshold] THEN Pause Ad AND Send Slack Notification. The notification triggers a creative review — it’s not enough to pause; you need to know to upload fresh creative and reactivate the ad set.
5. Revealbot for Google Ads Automation
While Revealbot is most commonly associated with Meta advertising, its Google Ads integration provides meaningful automation capabilities for search and display campaigns.
Automated Bid Adjustments
Revealbot’s Google Ads automation supports bid adjustment rules based on CPA, ROAS, conversion rate, quality score, and other performance metrics. These rules complement (rather than replace) Google’s Smart Bidding — Revealbot rules can make strategic adjustments that Smart Bidding’s black-box optimization doesn’t expose, like temporarily reducing bids on a campaign while a landing page is updated or increasing bids on high-converting keyword groups during specific promotions.
The rule logic for Google Ads follows the same IF-THEN structure as Meta rules but uses Google-specific metrics: Quality Score, Click Share, Impression Share, and the full range of conversion metrics from your Google Ads account. For search campaigns where manual or enhanced CPC bidding is used, bid adjustment rules can codify the optimization decisions that would otherwise require manual review.
Keyword Performance Rules
At the keyword level, Revealbot automation enables systematic management of large keyword portfolios — pausing keywords with low Quality Scores and high CPCs, reactivating seasonally relevant keywords on a schedule, and adjusting bids on keywords that are converting above or below target. For accounts with hundreds or thousands of active keywords, these rules eliminate the manual oversight burden while maintaining the optimization discipline.
Campaign Budget Automation
Google Ads campaign budget rules work similarly to Meta budget rules: scale daily budgets on campaigns hitting ROAS or CPA targets, reduce budgets on campaigns approaching spend limits, and trigger notifications when campaigns show unusual spend patterns. The cross-platform nature of Revealbot means you can apply similar budget management logic to both Google and Meta campaigns from the same interface.
6. Revealbot for TikTok Ads
TikTok has become a major paid media channel for DTC brands and consumer-facing businesses, and Revealbot’s TikTok integration provides the same rule-based automation capabilities available for Meta and Google.
TikTok-Specific Metric Rules
TikTok’s performance metrics differ from Meta’s in some important ways — the platform’s video-first format means view rate, video completion rate, and profile visit rate are more meaningful signals than on Meta. Revealbot’s TikTok integration exposes these platform-specific metrics in the rule builder, allowing you to create TikTok-appropriate automation logic rather than applying Meta rules that don’t translate.
A TikTok-specific scaling rule might include video completion rate as a condition alongside ROAS — creative that both converts and engages (high completion rate) is more sustainable as a long-term campaign than creative that converts but isn’t being watched through (low completion rate, suggesting frequency fatigue is approaching).
Creative Rotation Automation
TikTok creative fatigue happens faster than on most other platforms due to the platform’s content consumption patterns. Users scroll through content at high speed, which means a creative that performs well in its first week typically shows significant performance decay in weeks two and three. Revealbot rules can automate the creative rotation response — pausing creatives when frequency or engagement metrics signal fatigue and triggering notifications to upload new creative.
Platform Differences and Calibration
The most common mistake when extending Meta automation rules to TikTok is applying the same metrics and thresholds without calibrating for platform differences. TikTok CPMs are different from Meta CPMs. TikTok conversion windows are different. TikTok audience behavior is different. Your first TikTok rules in Revealbot should have conservative thresholds and longer data lookback windows than your established Meta rules, and you should treat the first 60–90 days as calibration rather than deploying optimized automation immediately.
7. Creative Analytics: The Top Creatives Report
One of Revealbot’s most practically useful features beyond rule automation is its creative analytics — specifically the Top Creatives report, which aggregates performance data across creatives regardless of which campaign or ad set they appear in.
Top Creatives Dashboard: Visual Ad Performance
The Top Creatives dashboard shows all creative assets in your account — images, videos, and carousels — ranked by any metric you choose: ROAS, CPA, CTR, click volume, or spend. The visual layout shows the actual creative alongside its performance data, making it fast to identify both winners (high ROAS, sustainable CPA) and losers (high spend, poor performance) without needing to navigate through the campaign structure.
For creative strategy, this report answers the question that performance data from within individual campaigns can’t easily answer: which specific creative assets are actually driving performance across your entire account? An ad creative that appears in ten different ad sets and campaigns might be performing differently in each, but the Top Creatives report shows its aggregate performance — the clearest signal of genuine creative quality.
Identifying Winning Creative by Revenue Attribution
The most valuable creative analytics view for e-commerce brands is sorting the Top Creatives report by revenue (conversion value) rather than ROAS. ROAS is a ratio that can be high even on low-spend creatives; sorting by revenue identifies which specific creatives have actually driven the most absolute revenue. These are the creatives to scale — increase their appearance in high-budget campaigns, duplicate them into new ad sets, and use them as benchmarks for briefing new creative production.
Creative Fatigue Detection
Revealbot’s creative performance data over time enables creative fatigue detection. A creative that shows declining ROAS over a 30-day period, combined with increasing frequency and decreasing CTR, is showing the classic fatigue pattern. Setting up rules that flag creative performance decline — not pause (you might want to review before pausing) but send a notification — creates an early warning system for the creative refresh cycle.
8. Reporting and Client Dashboards
For agencies and in-house teams that produce regular paid media performance reports, Revealbot’s reporting features significantly reduce the manual effort required to compile and format performance data.
Custom Performance Dashboards
Revealbot’s report builder allows you to create custom dashboards that pull live performance data from all connected ad accounts. Dashboards can be organized by platform, campaign objective, brand, or any custom grouping that makes sense for your reporting structure. The live data connection means reports are always current without requiring manual data exports and spreadsheet work.
For agencies managing multiple client accounts, a dashboard per client that shows consolidated spend, ROAS, CPA, and other key metrics across all platforms is the starting point. More sophisticated configurations add trend charts showing performance over time, creative performance rankings, and automation activity logs showing which rules triggered and what actions they took.
Automated Report Scheduling
Revealbot’s scheduled report feature sends performance reports to designated recipients on a regular cadence — daily, weekly, monthly, or at custom intervals. The report includes data formatted per your dashboard configuration and can be delivered via email to clients, leadership, or cross-functional stakeholders who need performance visibility without direct platform access.
For agencies, automated report delivery is a significant operational efficiency — eliminating the Monday morning report compilation that consumes hours of analyst time every week. Once the report format is configured, the delivery is fully automated, and the analyst’s time is available for analysis and strategy rather than data compilation and formatting.
Client Reporting for Agencies
Agency-specific reporting features in Revealbot include multi-account report consolidation (showing performance across multiple client accounts in a single report), white-label report formatting (removing Revealbot branding for client-facing reports), and granular permission settings that allow clients to view reports without accessing the full automation configuration.
The combination of automated reporting and client view access means that sophisticated agencies can provide clients with real-time visibility into campaign performance without requiring the client to understand the underlying automation logic — a professional, scalable approach to client communication that builds trust through transparency.
9. Revealbot vs. AdEspresso and Smartly.io
Understanding where Revealbot fits in the competitive paid media automation landscape helps clarify when it’s the right tool and when an alternative might be more appropriate.
Rule Granularity and Control: Revealbot Leads
Revealbot’s core competitive advantage is the granularity and flexibility of its rule logic. Users consistently describe it as offering “surgical precision” over automation — the ability to build exactly the rules they want with exactly the conditions they need. AdEspresso is easier to use for beginners but offers significantly less rule complexity. Smartly.io provides enterprise-scale creative automation that Revealbot doesn’t replicate.
The practical comparison: if you have an established optimization playbook and want to codify it precisely in automation, Revealbot is the strongest tool available. If you want AI to make optimization decisions for you rather than executing your own decisions automatically, an AI-native platform like Madgicx or Albert may be more appropriate. If you need dynamic creative optimization at scale for an enterprise brand, Smartly.io’s capabilities go beyond what Revealbot offers.
Ease of Use: The Learning Curve Trade-Off
The consistent criticism of Revealbot across reviews is the learning curve — the interface is powerful but not beginner-friendly, and getting maximum value from the platform requires meaningful investment in understanding the rule builder and campaign management logic. The platform has improved significantly since its early days, and the onboarding process is better documented, but it remains a tool for experienced media buyers rather than beginners.
Revealbot’s value proposition essentially requires that you bring your own optimization expertise. The platform automates and scales your knowledge — it doesn’t supply knowledge you don’t have. This is why it’s most valuable to experienced performance marketers who have developed optimization strategies through manual management and now want to scale those strategies without scaling their team linearly.
Pricing at Different Spend Levels
Revealbot (Bïrch) prices based on your monthly ad spend across all connected accounts, with all features available at every price tier. This spend-based pricing model has important implications. At low spend levels ($10K–$30K/month), the platform cost represents a meaningful percentage of spend and requires discipline to justify. At higher spend levels ($100K+/month), the automation savings in analyst time and the performance improvements from 24/7 rule execution make the cost clearly justified.
Starting at $99/month for up to $10K in monthly ad spend, with pricing scaling through spend tiers from there. All features are available regardless of tier — you’re paying for the volume of spend managed, not for feature access. Annual billing provides the equivalent of two months free (12 months for the price of 10).
10. Advanced Features: Metric Pools, Bulk Actions, and Lookalike Automation
Beyond the core rule builder, several advanced features in Revealbot are worth understanding for sophisticated operations.
Metric Pools: Custom Composite KPIs
Metric Pools allow you to define custom metrics by combining existing platform metrics mathematically. This is most commonly used to create blended metrics across platforms — a “Total ROAS” metric that combines Meta revenue and Google revenue divided by total spend across both platforms. But Metric Pools also enable more sophisticated custom KPIs like “Profit per Sale” (Revenue minus COGS minus Ad Spend) or “Qualified Lead Rate” (Qualified Leads divided by Total Leads) for lead generation campaigns.
Once defined, these custom metrics are available as conditions in any rule — which means your automation logic can optimize for the business outcomes that actually matter to you rather than being constrained to platform-reported metrics that don’t fully reflect your economics.
Bulk Editing and Campaign Management
Revealbot’s bulk action capabilities allow you to make changes across hundreds of campaigns, ad sets, or ads simultaneously from a single interface. Bulk budget adjustments, bulk bid changes, bulk pause/enable actions, and bulk creative uploads all save significant time for performance marketers managing large account structures.
The bulk upload feature is particularly valuable for agencies launching new campaigns for clients — rather than creating campaigns one by one in the native platform interfaces, you can upload a structured campaign file in Revealbot that creates the complete campaign structure in a fraction of the time.
Lookalike Audience Generation from Top Performers
Revealbot can identify your top-performing ad sets by any metric (ROAS, CPA, Conversion Rate) and automatically generate lookalike audiences based on the converters from those campaigns. This connects creative and audience performance intelligence to audience prospecting — using the data about who actually converted on your best campaigns to generate new audiences for future campaigns.
11. Pricing and ROI Calculation
Revealbot’s ad spend-based pricing model is worth thinking through carefully before signing up, particularly for accounts near pricing tier thresholds.
Ad Spend-Based Pricing Tiers
Pricing is based on total monthly ad spend across all connected accounts. All features are available at every tier. The tiers are structured so that the cost represents a consistent percentage of managed spend, which means the ROI calculation scales predictably as your ad spend grows.
At $99/month for up to $10K in managed spend, you’re paying 1% of managed spend for automation. At higher tiers covering $50K, $100K, or $500K+ in monthly spend, the percentage tends to decrease, making the platform more cost-effective at scale. Annual billing reduces the effective monthly rate by approximately 17%.
Calculating ROI Against Manual Management
The ROI calculation for Revealbot involves two components: analyst time savings (hours per week of manual optimization work that automation replaces, multiplied by your hourly cost) and performance improvement (the ROAS or CPA improvement from 24/7 rule execution compared to manual review cycles).
For a team spending 5 hours per week on manual paid media optimization at a $75/hour cost rate, automation saves $375/week or approximately $1,500/month. Against a $200/month platform cost (typical for a $20K–$30K/month spend account), the time savings alone more than justify the investment. Add the performance improvement from catching and pausing underperformers faster and scaling winners more aggressively, and the ROI case is typically strong.
Agency Plan ROI Calculation
For agencies, the ROI calculation includes the value of offering automation capabilities as a service differentiator. An agency that can demonstrate systematic automation of optimization — rules that prevent budget waste, scale winners, and run continuously between analyst check-ins — commands higher retainer fees and builds stronger client retention than one relying entirely on manual management. The agency plan economics typically favor Revealbot strongly.
12. Limitations and Honest Assessment
Revealbot’s limitations are real and worth understanding before investing in the platform.
The most consistently cited limitation is the platform’s reliance on your own expertise. If you don’t have a clear optimization strategy going in, Revealbot gives you a powerful tool for automating nothing in particular. Teams that get poor results from the platform are almost always teams that deployed automation without clear performance targets, defined thresholds, and well-reasoned rule logic. The platform is a force multiplier for expertise, not a substitute for it.
The learning curve for the rule builder is genuine. Initial setup of a comprehensive rule library for a complex account can take several days of focused work, and debugging rules that aren’t triggering as expected requires comfort with the platform’s logic structure. The platform has improved onboarding documentation and offers a rule library of pre-built templates, but you should budget meaningful configuration time before expecting the automation to run effectively.
The pricing model creates discontinuities at tier thresholds. If your monthly ad spend regularly falls in the range between two pricing tiers, your monthly cost fluctuates — which can create budget unpredictability. Understanding your typical spend range and choosing a tier that accommodates normal variance is important.
Finally, the platform doesn’t make creative decisions, competitive research decisions, or audience strategy decisions — it executes the operational actions within campaigns based on rules you configure. Marketers who want AI to take strategic ownership of their paid media program need a different type of tool. Revealbot is the right choice when you want to automate strategic decisions you’ve already made.
The Future of Automated Paid Media Management
The direction of paid media automation is toward greater intelligence integration — rules that don’t just execute static logic but incorporate external signals, creative performance learning, and predictive models that anticipate performance changes before they show up in the metrics.
Revealbot’s 2026 strategy, under the Bïrch brand, centers on fully composable campaign logic — combining automation rules with AI inputs, team alerts, and channel orchestration in a system that handles the operational execution while the media buyer focuses on strategy. The Metric Pools feature is an early version of this composability, and the roadmap suggests deeper integration with first-party data sources and cross-platform attribution as the next evolution.
For performance marketers today, Revealbot remains the strongest rule-based automation platform for multi-channel paid media management. If your account is large enough to justify the investment, your team has the performance marketing expertise to configure meaningful automation logic, and you want precise control over your optimization rather than handing it to a black-box AI, Revealbot is the platform that delivers.
Try Revealbot (Bïrch) free for 14 days — no credit card required. Visit bir.ch.
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