Frequently asked questions

Prime Signal is an AI-powered autonomous ad management platform. It monitors your ad accounts 24/7 across Facebook, Google, TikTok, LinkedIn, and programmatic platforms. When an ad gets disabled, a budget overruns, or performance drops, Prime Signal diagnoses the issue, generates a fix, and acts on it. You set the autonomy level from alerts-only to fully autonomous.

Facebook Ads, Google Ads, TikTok Ads, LinkedIn Ads, and programmatic DSPs. You connect via OAuth in under two minutes. No API keys, no developer, no code. Prime Signal syncs your full account history, maps every campaign and ad set, and starts monitoring immediately. New platform integrations are added regularly.

Most accounts are fully connected and monitored within minutes. OAuth connect your ad platforms, set your operating mode (Monitor, Advise, Guard, or Autopilot), and Prime Signal takes over. It learns your baselines, your audience behavior, and your seasonality within the first few days and gets sharper from there.

Media buyers, marketing agencies, ecommerce brands, and anyone running paid advertising who needs their campaigns watched around the clock. Solo operators use it to replace a media buyer. Agencies use it to manage 50+ client accounts with a fraction of the headcount. Enterprise teams use it for cross-platform intelligence and governance.

Intent data identifies people who are actively researching or showing buying signals for products and services like yours. Instead of targeting broad demographics and hoping, you reach people who are already in-market. The result is higher conversion rates, lower cost per acquisition, and less wasted ad spend.

Deterministic resolution means every step in the identity chain is a verified, 1:1 match. A browser event ties to a specific hashed email, which ties to a verified offline record with name, address, and contact info. You can trace the full path from signal to identity. Probabilistic resolution guesses who someone is based on statistical patterns. An IP address maps to a zip code, a model picks the most likely person from that area, and confidence erodes at every step. There is no verified link, no way to trace the match, and no way to close the feedback loop. Our infrastructure uses deterministic resolution. That is why we can verify whether a signal actually led to a conversion and continuously improve accuracy, something probabilistic providers structurally cannot do.

Three layers of verification run continuously. First, the entire consumer database is refreshed through national change of address records every 30 days, an investment of over $250,000 per month. Second, 10 million+ emails are verified daily through multi-layer validation (online, offline skip-trace, and public data sources), maintaining 95%+ database accuracy. Third, a closed feedback loop validates every intent signal against actual downstream conversions. If a signal does not lead to real buying behavior, the model downgrades it. Providers who skip continuous verification decay to 40-50% accuracy within six months.

Most intent platforms follow a one-way pipeline: capture a signal, score it, sell it. There is no verification of whether the score was right. Our model closes that loop. Intent signals are validated against real conversions, engagement, and buying events. After enough confirmed outcomes, the model begins fingerprint matching against proven converters. Every classification strengthens the graph. Every outcome improves precision. The result is 3x higher conversion lift compared to standard intent data.

When someone visits your site from a coffee shop, airport, or coworking space, IP-based tools match every person on that network (50 to 100 people) to a single visit event. That inflates match rates on paper while delivering near-zero precision in practice. Our infrastructure uses geo frame resolution: each IP is cross-referenced against the most recently verified household coordinates, and geographically implausible matches are discarded. The result is a true usable match rate of 60%+, compared to single digits for IP-dependent providers after you strip out the inflation.

Every identity is scored across 28 features in 6 groups: recency and velocity, intent domain signals, email engagement, web behavior, centroid similarity, and cross-feed composites. Signals are graded A through D. Grade A requires corroboration from 3+ independent sources and high active-research behavior. Grade D signals (generic news consumption, low search referral, no cross-feed corroboration) are filtered out before the audience is ever delivered to you. You never pay for noise.

14 million domains are monitored for intent signals, compared to roughly 750,000 for the largest competitors in the space. That is 20x more coverage. Over 250 billion URLs are processed weekly, with 100 billion+ weekly intent signals and 400 million+ email engagement signals per day. The scale matters because it means signals come from specialist, high-density sources rather than the same handful of generic news and publishing sites that dominate smaller networks.

Prime Signal watches every campaign, ad set, and creative across all connected platforms around the clock. It detects disabled ads, policy violations, budget overruns, performance drops, creative fatigue, and audience saturation within minutes. When an issue is detected, Prime Signal either alerts you, recommends a fix, or acts autonomously depending on your operating mode.

Four modes, configurable per client or per account. MONITOR sends alerts only. ADVISE sends alerts with AI-generated recommendations. GUARD automatically fixes safe issues (pausing bleeders, flagging policy violations) while escalating risky changes. AUTOPILOT handles everything autonomously with full audit trail. You can change modes anytime.

When an ad is flagged or disabled, Prime Signal classifies the violation type, explains exactly what triggered it, generates a compliant alternative, and resubmits. It tracks appeal success rates per platform and per violation type so the fixes get better over time. Policy Guard can also pre-screen ads before submission to catch violations before they cost you downtime.

Prime Signal learns what performs for your business, your audience segments, and your seasonal patterns. Budget continuously shifts toward winning campaigns and away from underperformers. If a campaign starts bleeding spend with declining returns, Prime Signal pauses it and reallocates. Your ROAS improves even when you are not watching.

Ad performance decays over time as audiences see the same creatives repeatedly. Prime Signal tracks CTR trends, frequency saturation, and engagement decay per creative. When a creative starts losing effectiveness, Prime Signal flags it for rotation with specific performance data before it wastes budget.

Yes. One dashboard unifies metrics from Facebook, Google, TikTok, LinkedIn, and programmatic platforms. Cross-platform performance comparison, unified spend tracking, and AI-powered insights that work across all your accounts. No more jumping between platform dashboards.

Prime Signal runs 6 proprietary TensorFlow neural networks trained on advertising data: ad anomaly detection, creative fatigue prediction, policy violation classification, budget optimization, audience saturation modeling, and funnel health analysis. These models run alongside large language models that handle diagnosis, recommendation generation, and natural language reporting. The ML models handle pattern recognition at speed; the LLMs handle reasoning and explanation.

When you connect your accounts, Prime Signal syncs your full campaign history and begins building baselines specific to your business. It learns your normal CPA ranges, your seasonal patterns, your audience behavior, and your platform-specific quirks. The AI gets sharper with every campaign it monitors and every outcome it observes. There is no generic model applied equally to everyone.

Yes. The ReWire workflow engine lets you build visual automations with a drag-and-drop editor. Pre-built templates cover common scenarios like budget reallocation, creative rotation, performance alerting, and audience refresh. You can also build custom workflows with AI analysis nodes, conditional logic, parallel execution, and human approval gates. Prime Signal recommends workflows based on your account activity.

No. Your campaign data is never shared with AI providers for model training. LLM calls use zero-retention APIs. Your proprietary performance data, audiences, and creative strategies stay yours. The platform learns patterns specific to your accounts, but that learning stays within your organization.

Every AI action includes a full reasoning chain, the data it analyzed, the action it took, and the outcome. Approval gates let you require human sign-off before any high-impact change. If an action causes a regression, automatic safeguards trigger. Every decision is logged in an immutable audit trail you can review, search, and export.

Prime Signal acts as an always-available strategist for your ad operations. It analyzes your campaigns holistically and surfaces insights you would miss looking at individual platforms: which audiences are saturating, which creatives are approaching fatigue, where your budget allocation is suboptimal, and what your competitors are doing differently. It provides actionable recommendations, not just dashboards.

Prime Signal monitors competitor websites, ad copy, landing pages, and pricing changes. It detects when competitors launch new campaigns, change their positioning, or adjust pricing. You get alerts and strategic recommendations so you can react before being outmaneuvered.

Yes. Automated weekly performance reports and monthly summaries are generated for every account. If you manage clients, each client gets their own portal with real-time ad health, spend tracking, and ROI metrics. Reports are ready to share with no manual assembly required.

Prime Signal monitors every step of your conversion funnel: landing pages, checkout flows, form submissions, and redirect chains. When a page goes down, a form breaks, or a redirect stops working, you know within minutes. It also tracks conversion drop-off patterns and recommends where to focus optimization efforts.

Audiences are built from deterministic identity data across 308 million+ verified US consumer profiles with 65+ data points per person. You can build retargeting audiences from pixel data, lookalike audiences from your best customers, custom segments from intent signals, and suppression lists to avoid wasting spend on existing customers. All audiences are graded for signal quality before delivery.

80%+ match rates on Meta, Google, and LinkedIn through UID2 hashed email activation. This is significantly higher than cookie-dependent or IP-based approaches because deterministic identity resolution produces clean, verified records that platforms can actually match against their own user databases.

Programmatic advertising is the automated buying and selling of digital ad space in real time. Instead of negotiating placements manually with individual websites, programmatic uses software to bid on ad inventory across millions of sites, apps, and connected TV platforms in milliseconds. When someone loads a webpage, an auction happens in the background. Your ad competes against others, and the winner's ad appears instantly. The advantage is precision: you define who you want to reach (by behavior, intent signals, demographics, geography) and the system finds them wherever they are online, across display, video, native, and CTV formats.

Prime Signal connects to programmatic demand-side platforms (DSPs) and applies the same deterministic identity data and intent signals that power your social campaigns. You build audiences from verified identity records, Prime Signal targets them across programmatic inventory, and the closed feedback loop validates which placements actually convert. AI handles budget allocation, bid optimization, and creative rotation across channels.

The underlying identity database is refreshed continuously. NCOA verification runs every 30 days on the full database. Email verification processes 10 million+ records daily. Intent signals are rescored on a three-layer cadence: daily signal rescoring, weekly grade recalculation, and monthly full model retrain. Your audiences always reflect current behavior, not stale snapshots.

Flat monthly pricing with no per-platform or per-campaign fees. Starter ($500/month) covers monitoring and alerts for up to 10 ad accounts. Professional ($1,500/month) unlocks full autonomous management including Autopilot mode for up to 50 accounts. Agency ($3,500/month) adds unlimited accounts, white-label portal, API access, and a dedicated success manager. Enterprise pricing is custom for large agencies managing $1M+ in monthly ad spend.

All plans include 24/7 ad monitoring, instant alerts, AI-powered diagnosis, budget overspend protection, and performance reporting at no extra charge. Usage-based charges apply only for AI actions beyond your included allotment, SMS notifications, voice escalation, and report generation.

We offer a $750 proof-of-concept engagement where we connect Prime Signal to your actual ad accounts so you can see it work on your real campaigns. Contact us at hello@primesignalsoftware.com or book a demo from the website to get started.

For most agencies, Prime Signal replaces a media buyer ($65K+/year), a multi-tool monitoring stack ($10K+/year), and manual reporting time. One Professional plan manages what previously required multiple hires and subscriptions. Agencies running 100+ client accounts report managing their entire book with a team of 3 instead of 15.