Enable sales opportunities with advanced AI-driven lead scoring. With MOTIONWAV, sales teams gain the intelligence they need to prioritize high-intent prospects, eliminate guesswork, and focus their efforts on leads most likely to close.
Start prioritizing smarterEvery minute your sales team spends on low-quality leads is a minute they're not closing high-value deals. MOTIONWAV transforms how you identify, prioritize, and engage with prospects by combining behavioral intelligence, firmographic analysis, and predictive analytics into a unified scoring system that reveals exactly which leads deserve your attention right now.
MOTIONWAV monitors and analyzes every touchpoint in your buyer's journey, from the first anonymous website visit to the final demo request. Our platform tracks website behavior patterns including page views, time on site, repeat visits, and specific page interactions like pricing page views and feature comparisons. We capture email engagement metrics including opens, clicks, link interactions, and response patterns to understand communication preferences and interest levels.
The system records content consumption across all formats: whitepaper downloads, case study views, blog post engagement, video watch time, and webinar attendance. Social media interactions, including profile views, content shares, comments, and direct messages, provide additional context about prospect interest and influence within their organization. Form submissions, trial sign-ups, and demo requests receive the highest behavioral scores as they indicate strong purchase intent.
Every action is timestamped and weighted based on its correlation with successful conversions in your specific sales environment. The platform identifies behavioral patterns that distinguish serious buyers from casual browsers, such as multiple pricing page visits within a short timeframe, downloads of technical documentation, or engagement with customer success stories. This comprehensive behavioral tracking ensures no signal of buying intent goes unnoticed.
Not all leads are created equal, and MOTIONWAV helps you instantly identify which prospects match your ideal customer profile. Our firmographic analysis engine evaluates company size, examining employee count ranges from startups to enterprises, and maps them against your historical success patterns. We assess annual revenue bands to ensure prospects have the budget capacity for your solution, and analyze growth trajectories to identify companies in expansion phases.
Industry classification goes beyond simple NAICS codes. We understand industry-specific buying behaviors, budget cycles, and decision-making processes. Technology stack analysis reveals which tools and platforms prospects currently use, identifying competitive displacement opportunities and integration compatibility. Geographic location data considers market maturity, regional preferences, regulatory environments, and time zone alignment for sales coverage.
The platform evaluates company stage and funding status, recognizing that a Series B startup has different needs and buying patterns than a public enterprise. We analyze organizational structure to understand decision-making complexity, identifying whether you're dealing with a lean startup with rapid decision cycles or a large enterprise with formal procurement processes. Business model analysis distinguishes between B2B, B2C, marketplace, and SaaS companies, each with unique evaluation criteria and sales approaches.
Every firmographic dimension is scored against your ideal customer profile, which MOTIONWAV continuously refines based on your actual closed deals. The system identifies which company characteristics most strongly correlate with successful sales, and automatically updates scoring weights to reflect changing market conditions and your evolving product positioning.
MOTIONWAV's predictive analytics engine transforms your historical sales data into a powerful forecasting tool. By analyzing thousands of data points from your past opportunities—both won and lost—the platform identifies the subtle patterns and combinations of signals that distinguish deals that close from those that don't. Our machine learning models train on your specific business context, learning which behaviors, firmographic characteristics, and engagement patterns most strongly correlate with successful conversions.
The system doesn't just look at individual signals in isolation. It understands the complex interplay between different factors: how a pricing page visit from an enterprise prospect carries different weight than the same action from a small business lead, or how multiple stakeholders from the same account engaging with your content indicates committee-based buying behavior typical of large purchases.
Conversion probability scores update in real-time as new information becomes available. When a lead takes a high-intent action like requesting a demo, the model immediately recalculates their likelihood to convert based on how similar leads with similar profiles and behaviors have performed historically. This dynamic scoring ensures your sales team always has the most current intelligence about which opportunities deserve immediate attention.
The platform explains its predictions with full transparency. Rather than presenting a black-box score, MOTIONWAV shows you exactly which factors contributed to each lead's rating, how much weight each factor carried, and how the current score compares to historical patterns. This interpretability builds trust in the model and helps sales teams understand why certain leads are prioritized over others.
As your business evolves—launching new products, entering new markets, or shifting positioning—the model continuously learns and adapts. It automatically detects when historical patterns no longer predict current outcomes and recalibrates its weights accordingly. Regular model performance monitoring ensures your lead scores remain accurate and actionable, with automatic alerts when recalibration is recommended.
MOTIONWAV doesn't just score leads—it tells you exactly what to do with them. Our intelligent segmentation engine automatically categorizes every prospect into actionable tiers, each with specific recommended strategies designed to maximize conversion rates while optimizing sales team efficiency.
High-intent prospects showing strong buying signals and excellent firmographic fit. These leads have demonstrated multiple high-value behaviors such as repeated pricing page visits, demo requests, or ROI calculator usage, combined with ideal customer profile characteristics. They represent your highest probability opportunities and require immediate sales engagement.
Engaged prospects showing moderate interest and partial fit. These leads have demonstrated some positive behaviors like content downloads, email engagement, or initial website exploration, and match several ideal customer profile criteria but haven't yet shown strong buying intent. They need nurturing to build relationship and move them toward purchase readiness.
Early-stage prospects with minimal engagement or poor firmographic fit. These leads may have just entered your system through list uploads, trade show badge scans, or single low-intent interactions. They require education and relationship building before they're ready for sales conversations, or may need disqualification if they're truly not a fit.
Leads automatically move between tiers as their scores change. A warm lead who requests a demo instantly promotes to hot status, while a hot lead with 30 days of inactivity demotes to warm, ensuring resources are always allocated to current opportunities.
When multiple contacts from the same company are in your system, MOTIONWAV aggregates their individual scores and behaviors into a unified account score, helping you identify when an organization as a whole shows buying intent even if no single contact has high individual engagement.
Lead scores automatically decay over time without new engagement, reflecting the reality that interest wanes without ongoing interaction. A lead with a 90 score from three months ago may now be more accurately rated at 65, preventing sales from wasting time on stale opportunities.
Create additional segmentation criteria beyond standard scoring. Define segments for specific campaigns, product lines, or regions. Establish custom rules like "Enterprise SaaS companies in California with recent funding" to support targeted sales initiatives.
Track conversion rates, average deal size, and sales cycle length for each segment. Understand which tiers produce the most revenue and where your sales process is most efficient. Use these insights to optimize scoring thresholds and segment definitions.
Segment changes automatically trigger appropriate actions: hot leads create sales tasks and send alert notifications, warm leads enroll in nurture sequences, cold leads update with educational content tags. Sales and marketing automation happens without manual intervention.
Every lead in MOTIONWAV comes with a complete intelligence profile that gives your sales team the context they need to have informed, relevant conversations. The platform aggregates data from multiple sources into a single unified view.
Complete contact details including email addresses, phone numbers, job titles, and organizational hierarchy position. Company information spans industry classification, employee count, revenue range, headquarters location, technology stack, and growth indicators. The system automatically enriches sparse records with data from third-party sources, ensuring you always have the most complete picture available.
Chronological view of every interaction the prospect has had with your brand. See website visits with specific page views and time spent, email opens and clicks with engagement patterns, content downloads with topics of interest, form submissions, webinar attendance, social media interactions, and more. Each event is timestamped and linked to the score impact it created.
Transparent view into how the lead's score was calculated. See the demographic fit score based on firmographic match, behavioral engagement score based on actions taken, and combined priority score. Understand exactly which factors contributed positively or negatively, and how the current score compares to historical patterns and peer leads.
The platform identifies previous customers with similar profiles, showing you comparable companies you've successfully closed. See what products they purchased, how long the sales cycle took, what objections were overcome, and which content proved most persuasive. This historical context helps sales reps pattern-match their approach to proven successful strategies.
If multiple contacts from the same organization exist in your database, see the full account view with all stakeholders, their individual engagement levels, and team dynamics. Identify champions, influencers, and decision-makers. Track whether you have coverage across different departments and seniority levels.
Understand what tools and platforms the prospect's company currently uses. Identify competitive solutions they may need to replace, complementary products that indicate fit, and technical requirements for integration. This technology intelligence helps position your solution appropriately and anticipate implementation needs.
Beyond the current score, see predictive indicators about future behavior. The platform estimates likelihood to convert in different timeframes (next 30 days, 90 days, etc.), identifies risk factors that might prevent conversion, and suggests optimal timing for outreach based on engagement patterns and industry buying cycles.
All notes and activities from your CRM sync bidirectionally with MOTIONWAV. Sales reps can see call notes, meeting summaries, and opportunity details alongside behavioral intelligence. Updates made in either system automatically reflect in the other, ensuring no duplicate data entry and complete information consistency.
Time kills deals. MOTIONWAV ensures your sales team engages with high-intent prospects at exactly the right moment through intelligent, real-time alerting that notifies reps the instant critical actions occur.
Immediate notifications when leads take behaviors that indicate strong buying interest: pricing page visits (especially multiple views in short timeframes), demo request submissions, free trial sign-ups, ROI calculator usage, competitor comparison page views, case study downloads, and technical documentation access. These alerts include full context about the lead's profile and history so reps can personalize their outreach.
Automated alerts when leads cross critical scoring thresholds, such as moving from warm to hot status (typically 80+ score), reaching qualification criteria you've defined, or achieving account-level scores that warrant team-based selling approaches. Configure different thresholds for different lead sources, products, or market segments.
Advanced alerts based on behavioral patterns rather than single actions. Get notified when a lead shows "binge" behavior (consuming multiple pieces of content in one session), when multiple stakeholders from the same account engage simultaneously, when a previously cold lead reactivates after dormancy, or when engagement velocity suddenly accelerates indicating imminent purchase decision.
Alerts when leads visit competitor comparison pages, search for competitive keywords, or engage with battle card content. Early awareness of competitive evaluation lets sales reps proactively address objections and differentiate your solution before the prospect forms rigid opinions.
Notifications when hot leads show declining engagement, when scores begin decaying due to inactivity, or when leads exhibit behaviors correlated with churn or disqualification. These early warnings let sales rescue deals before they're lost and redirect effort away from opportunities unlikely to close.
Alerts when aggregate account activity suggests organizational buying intent: multiple contacts researching your solution, cross-departmental engagement indicating company-wide initiative, C-level involvement signaling budget authority, or sudden spike in account-level engagement suggesting active vendor evaluation process.
Receive alerts through your preferred channels: in-app notifications within MOTIONWAV, email digests (real-time, hourly, or daily rollups), mobile push notifications, Slack messages to sales channels, SMS for critical high-value alerts, or CRM task creation. Configure different delivery methods for different alert types and urgency levels.
Not all alerts are equally important. MOTIONWAV prioritizes notifications based on lead score, potential deal value, sales rep capacity, and alert type. High-value opportunities from enterprise prospects get immediate escalation, while lower-priority notifications batch together to prevent alert fatigue and ensure critical signals don't get lost in noise.
Every business is unique, and MOTIONWAV recognizes that one-size-fits-all scoring doesn't work. Create multiple custom scoring models tailored to different products, market segments, or sales strategies.
If you sell multiple products with different ideal customer profiles and buying behaviors, create dedicated scoring models for each. Your enterprise platform may prioritize company size and technical complexity, while your SMB product emphasizes rapid deployment and ease of use. Leads automatically receive scores from the appropriate model based on which products they've shown interest in.
Different regions exhibit different buying behaviors and firmographic patterns. Create models specific to North America, EMEA, APAC, or other territories that account for regional differences in company size distributions, industry compositions, and engagement preferences. What constitutes an enterprise company in one market may be mid-market in another.
Healthcare, financial services, technology, manufacturing, and retail sectors each have unique buying processes and decision criteria. Build industry-specific models that weight factors according to sector norms: regulatory compliance importance in healthcare, security emphasis in finance, innovation focus in technology. The platform can automatically apply the correct model based on prospect industry classification.
Transactional self-service sales follow different patterns than consultative enterprise sales. Create models that reflect your sales process: high-velocity inside sales models that prioritize immediate conversion signals, strategic account models that weight relationship breadth and executive engagement, partner-led models that emphasize referral source and partner involvement.
Adjust the importance of any scoring factor to match your business reality. If you've found that webinar attendance strongly predicts conversion, increase its weight. If company size matters less than growth rate, adjust accordingly. Define positive scoring (actions that increase score), negative scoring (disqualifying signals), and neutral factors that provide context without affecting score.
While you can manually configure scoring weights, MOTIONWAV's ML engine can also automatically optimize them based on your conversion data. The platform analyzes which factors most strongly correlate with closed deals in each model, and suggests or auto-implements weight adjustments to improve predictive accuracy over time.
Test different scoring approaches against each other to determine which most accurately predicts conversion. Run parallel models on similar lead populations and compare their performance on deal velocity, conversion rate, and revenue impact. Data-driven model selection removes guesswork from lead prioritization strategy.
Scoring criteria may differ based on where prospects are in the buyer's journey. Early-stage awareness may emphasize content engagement and education, mid-stage consideration focuses on product comparison and evaluation behaviors, late-stage decision emphasizes pricing and demo interactions. Progressive scoring models evolve as leads advance through your funnel.
Understand not just individual lead scores, but the broader patterns and performance metrics that indicate whether your lead prioritization strategy is working. MOTIONWAV provides comprehensive analytics across leads, campaigns, and sales performance.
Visualize how your entire lead database distributes across score ranges. See what percentage falls into hot, warm, and cold categories. Track how distribution changes over time as marketing campaigns generate new leads and nurturing moves prospects through stages. Identify if you have enough high-quality leads to meet pipeline goals or if lead generation needs adjustment.
Measure actual conversion rates for different score ranges to validate your model's predictive accuracy. If leads scoring 90-100 convert at 50% while 80-89 converts at 20%, you know your scoring effectively differentiates quality. If conversion rates are flat across scores, your model needs recalibration. Track how these rates change over time to detect model drift.
Analyze how lead scores correlate with sales cycle length. High-scoring leads typically close faster, but quantifying the difference helps forecast revenue timing. Compare average days-to-close for hot vs. warm vs. cold leads. Identify whether score-based prioritization actually accelerates deals or if other factors dominate velocity.
Track revenue generated from different score bands to understand which tiers produce the most value. While hot leads convert at higher rates, volume dynamics might mean warm leads generate more total revenue. Break down average deal size by score range to identify whether high-scoring leads represent larger opportunities or just higher probability.
Compare lead quality across different acquisition sources. See average scores for leads from paid search vs. content marketing vs. events vs. partnerships. Identify which channels generate the highest-quality leads to optimize marketing spend. Track campaign-specific performance to understand which messaging and offers attract best-fit prospects.
Measure how effectively individual sales reps work score-prioritized leads. Track conversion rates by rep and score band to identify who excels at closing hot leads vs. nurturing warm prospects. See response time from alert to first contact, and correlate speed-to-lead with conversion outcomes. Use these insights for coaching and process optimization.
Continuous assessment of scoring model accuracy. Compare predicted outcomes (scores) against actual results (conversions) to calculate precision, recall, and AUC metrics. Automated alerts when model performance degrades below thresholds, indicating need for recalibration. Track which factors have become more or less predictive over time.
Use lead scoring data to forecast pipeline health. Calculate weighted pipeline value by multiplying opportunity amounts by score-based conversion probability. Project likely revenue in future periods based on current lead score distribution and historical conversion patterns. Identify pipeline gaps before they impact revenue.
Monitor overall engagement trends across your lead database. Track total behavioral signals over time, average engagement score movements, and participation rates in different activity types. Declining engagement may indicate content fatigue, product-market misalignment, or competitive pressure requiring strategic response.
Create custom reports combining any metrics, dimensions, and filters relevant to your business. Build executive dashboards showing high-level KPIs, operational reports for daily sales activity, and analytical deep-dives for strategy planning. Schedule automated report delivery to stakeholders who need regular updates without accessing the platform.
Lead scoring isn't just for new prospects. MOTIONWAV applies the same behavioral intelligence and predictive analytics to existing customers, identifying accounts at risk of churn before they cancel so your team can intervene proactively.
Track product usage metrics that correlate with retention: login frequency, feature adoption, user seat utilization, data volume processed, API call volumes, and integration activity. Declining usage often precedes churn by weeks or months, providing early warning to customer success teams. The platform establishes baseline usage patterns for each account and alerts when behavior falls below healthy thresholds.
Monitor customer engagement with your brand beyond product usage: support ticket volume and sentiment, community participation, educational content consumption, release note views, and response rates to customer communications. Disengagement in these areas indicates relationship deterioration even if product usage remains stable.
As renewal dates approach, MOTIONWAV calculates probability of churn based on comprehensive account health indicators. Accounts with declining usage, unresolved support issues, executive turnover, or negative sentiment receive high churn risk scores. Customer success teams get prioritized renewal lists focusing effort on at-risk accounts while allowing healthy renewals to process with minimal intervention.
Track customer health scores over time to identify trajectories. A slowly declining score suggests growing dissatisfaction or lack of value realization, while sudden drops indicate specific incidents requiring immediate attention. Compare current health to cohorts, renewal cycles, and historical patterns to contextualize risk levels.
Churn scoring works in reverse for expansion. Identify highly engaged customers showing signs of growth: increasing usage approaching plan limits, exploring premium features, adding new users, or engaging with expansion-related content. These positive signals indicate upsell and cross-sell readiness, helping account managers time expansion conversations optimally.
Incorporate sentiment from support tickets, NPS surveys, customer calls, and social media mentions into churn scoring. Natural language processing detects frustration, dissatisfaction, or competitive consideration in customer communications, surfacing emotional indicators that quantitative usage metrics might miss.
When churn risk scores cross critical thresholds, automatically trigger retention workflows: assign customer success tasks, schedule check-in calls, offer training sessions, provide executive sponsorship, or initiate win-back campaigns. Different risk levels trigger different intervention intensities, optimizing team capacity allocation.
Continuously validate churn predictions against actual retention outcomes. Measure how accurately high-risk scores predicted cancellations and how many saved customers were correctly identified as recoverable. Use these accuracy metrics to refine churn models and improve intervention effectiveness over time.
Knowing who not to pursue is as valuable as identifying hot prospects. MOTIONWAV's negative scoring automatically identifies and deprioritizes leads unlikely to convert, protecting sales team productivity and database quality.
Identify and exclude competitor employees, investors, or partners who are researching your positioning rather than evaluating your solution. Email domain analysis, job title patterns, and company name matching automatically flags competitive intelligence gathering. These contacts receive negative scores preventing sales outreach while still allowing market research visibility.
Educational users seeking free resources for academic purposes rarely convert to paying customers. Detect .edu email domains, student job titles, and academic institution affiliations. Automatically segment these contacts for educational program tracks rather than sales pipelines, or remove entirely if academic use isn't supported.
Gmail, Yahoo, Outlook.com, and other personal email addresses typically indicate low-quality leads for B2B products. Apply negative scoring to personal domains except when explicitly appropriate (prosumer products, sole proprietors, freelancers). Customize which domains disqualify based on your target market characteristics.
Detect signals indicating lack of buying power: junior job titles without decision authority, companies below minimum viable size, organizations in industries outside your target market, or geographic regions where you don't sell. Early disqualification prevents wasting cycles on leads structurally unable to purchase.
Certain behaviors indicate low intent or poor fit: unsubscribing from emails, visiting career pages instead of product pages, bounced emails indicating bad data, or completing forms with obviously fake information. These negative signals reduce scores and prevent inappropriate sales outreach.
Automatically exclude contacts from industries or geographies where regulatory restrictions prevent sale, or where compliance requirements make service unprofitable. GDPR, CCPA, and other privacy regulations may require excluding certain regions or data handling practices.
Identify duplicate records, obviously fake contact information (test@test.com, 555 phone numbers), incomplete profiles missing critical fields, and other data quality issues. Flag these records for cleanup rather than sales outreach, maintaining CRM hygiene and preventing embarrassing contact attempts.
Respect unsubscribe requests, explicit opt-outs, and regulatory do-not-contact lists. Automatically apply maximum negative scores to these contacts ensuring they never receive sales outreach regardless of behavioral signals. Maintain comprehensive audit trails for compliance documentation.
Negative scoring isn't always permanent. A student may graduate and join a target company, a junior employee may be promoted to decision-maker, or a previously too-small company may grow into your ideal customer profile. Automated re-evaluation periodically reassesses negatively scored leads for changed circumstances warranting reconsideration.
MOTIONWAV adapts to your specific go-to-market strategy, whether you're running high-velocity inside sales, building strategic enterprise accounts, or scaling product-led growth. Our platform delivers the right intelligence for your sales motion.
For teams making hundreds of outreach attempts daily, every call must count. MOTIONWAV prioritizes your call queue with leads most likely to convert right now, maximizing connect rates and conversion efficiency.
Complex enterprise sales involve multiple stakeholders, long evaluation cycles, and committee-based decisions. MOTIONWAV provides account-level intelligence showing organizational buying signals across entire companies.
When users self-serve trials and freemium products, behavioral signals become your primary buying intent indicators. MOTIONWAV identifies which trial users should receive sales attention versus automated nurture.
Partner-sourced leads require different qualification criteria and engagement strategies. MOTIONWAV helps you prioritize partner referrals and identify which partnerships generate highest-quality opportunities.
Marketing teams need to understand which campaigns generate quality leads, not just volume. MOTIONWAV provides campaign-level quality metrics to optimize budget allocation and messaging strategies.
Existing customers represent significant revenue opportunity through upsells, cross-sells, and renewals. MOTIONWAV applies scoring intelligence to customer accounts, identifying expansion opportunities and retention risks.
MOTIONWAV works with the tools you already use, enriching your CRM, triggering marketing automation, and connecting to your data sources. No need to rip and replace—we enhance your current systems with intelligence they lack.
Bidirectional sync keeps lead scores, behavioral data, and activity history perfectly aligned between MOTIONWAV and your CRM. Sales reps work in familiar tools while benefiting from advanced scoring intelligence.
Native Salesforce app available on AppExchange. Automatically sync lead and contact scores, create custom fields for behavioral metrics, trigger workflow rules based on score changes, display score breakdown and activity timeline in record layouts, and generate reports combining CRM and scoring data. Support for custom objects, person accounts, and complex Salesforce configurations.
Deep integration with HubSpot CRM and Marketing Hub. Sync scores as contact properties, create smart lists based on score thresholds, trigger workflows from score changes, enrich contact timelines with behavioral activities, and combine HubSpot email tracking with MOTIONWAV multi-channel engagement. Works with free and paid HubSpot tiers.
Enhance Pipedrive with predictive scoring. Add custom fields for lead scores, create filters for hot/warm/cold segments, automate activity creation from high-intent signals, and enrich deal records with conversion probability. Visual score indicators in list views and detail pages help reps prioritize quickly.
Enterprise-grade integration with Dynamics 365 Sales. Support for complex organizational hierarchies, account-level scoring for enterprise customers, integration with Dynamics marketing automation, and embedding of MOTIONWAV dashboards in Dynamics interface. Compatible with both cloud and on-premise Dynamics deployments.
Connect MOTIONWAV scoring to Zoho CRM workflows. Sync scores to custom fields, create assignment rules based on lead quality, trigger sales sequences from score thresholds, and enrich CRM records with behavioral intelligence. Integration supports Zoho's unique blueprint and scoring rule features.
Power your marketing automation with behavioral intelligence and predictive scoring. Trigger campaigns based on score changes, segment audiences by quality, and measure campaign impact on lead scores.
Enterprise marketing automation with sophisticated scoring synchronization. Push MOTIONWAV scores to Marketo custom fields, trigger smart campaigns from score threshold changes, combine Marketo behavioral data with external signals, create dynamic segmentation based on combined scoring models, and measure program impact on lead quality. Supports revenue cycle modeling and success path analyzer integration.
Salesforce native marketing automation enhanced with MOTIONWAV intelligence. Sync scores to prospect records, create dynamic lists based on scoring criteria, trigger engagement studio programs from score changes, override or supplement Pardot's native scoring with ML-driven predictions, and combine page visit tracking with comprehensive behavioral analysis.
SMB-focused marketing automation with powerful MOTIONWAV enhancement. Update contact scores in real-time, trigger automation workflows based on hot lead status, create segments for targeted email campaigns, track email engagement impact on overall lead scores, and personalize email content based on behavioral intelligence. Compatible with ActiveCampaign's CRM and sales features.
Oracle Eloqua integration for complex enterprise marketing. Connect MOTIONWAV scoring to Eloqua canvas workflows, use scores in program builder logic, enhance lead nurturing with predictive intelligence, integrate account-level scoring with Eloqua's account-based marketing features, and measure campaign quality metrics alongside volume metrics.
Prioritize outreach sequences and cadences based on lead quality. Ensure your sales engagement efforts focus on prospects most likely to respond and convert.
Intelligent sequencing powered by MOTIONWAV scores. Automatically enroll hot leads in high-touch sequences, route warm leads to nurture cadences, prioritize prospect lists by conversion probability, pause sequences when scores drop below thresholds, and measure sequence performance by lead quality segment. Create conditional logic based on scoring criteria.
Cadence optimization with predictive intelligence. Import scored leads into prioritized cadences, create different cadence tracks for different score bands, trigger person-to-person emails for high-value opportunities, automatically remove low-scoring prospects from expensive multi-touch sequences, and analyze which messaging works best for different quality segments.
Salesforce-native sales engagement enhanced with scoring. Display MOTIONWAV scores in Groove's Salesforce sidebar, prioritize Groove flow enrollment by lead quality, trigger follow-up tasks when scores cross thresholds, and measure flow performance by initial lead score to optimize sequence strategy.
Enhance lead intelligence with third-party firmographic data, technographic insights, and contact information. Better data produces more accurate scoring.
Automatic lead enrichment with Clearbit's comprehensive data. Enhance incomplete records with company size, industry, technology stack, employee count, and funding information. Use enriched firmographic data to improve demographic fit scoring. Real-time enrichment for new leads and batch enrichment for existing database.
B2B contact and company intelligence integration. Enrich lead records with accurate contact information, identify additional stakeholders at target accounts, append technographic data for technology stack analysis, validate and update existing contact data, and enhance account-based selling with comprehensive organization charts.
Intent data and account intelligence enhancement. Incorporate 6sense's buying stage predictions into MOTIONWAV scoring, combine keyword intent signals with behavioral engagement data, enhance account-level scoring with 6sense's account identification, and create unified view of explicit and implicit buying signals.
Export scoring data to your analytics platforms for custom reporting, executive dashboards, and data science analysis. Combine lead intelligence with broader business metrics.
Build custom visualizations and executive dashboards combining MOTIONWAV data with business metrics. Web data connector provides live access to scoring data, behavioral metrics, conversion analytics, and model performance. Create territory-level, product-level, and time-series analyses of lead quality trends.
Integrate MOTIONWAV data into Looker's modeling layer for sophisticated analytics. Build LookML models combining scoring with revenue, pipeline, and operational data. Create custom explores for sales and marketing teams, and embed MOTIONWAV dashboards in existing Looker instances.
Microsoft Power BI connector for enterprise reporting. Import MOTIONWAV datasets for custom report building, combine with Dynamics and other Microsoft data sources, create scheduled refreshes for up-to-date dashboards, and share insights across organization with Power BI's collaboration features.
Connect website behavioral data from Google Analytics with MOTIONWAV scoring. Import page visit data, session information, and conversion events. Combine anonymous website behavior with identified lead activities for complete engagement picture. Measure how website experience impacts lead quality and conversion.
Receive scoring alerts and notifications in the collaboration tools your team already uses. Enable sales teams to act on intelligence without switching applications.
Real-time lead alerts delivered to relevant Slack channels. Post notifications when hot leads emerge, share daily digest of high-priority opportunities, create dedicated channels for different score segments or territories, enable slash commands for lead lookup from Slack, and facilitate team collaboration on high-value accounts with automated updates.
Enterprise collaboration enhanced with lead intelligence. Post score alerts to Teams channels, create adaptive cards with lead details and quick actions, integrate with Teams workflows and bots, enable @mention notifications for assigned leads, and embed MOTIONWAV dashboards in Teams tabs for easy access.
For custom integrations and unique workflows, MOTIONWAV provides comprehensive REST APIs and real-time webhooks. Build exactly the integration you need.
Comprehensive API endpoints for querying lead scores, retrieving behavioral history, updating lead attributes, creating custom scoring models, and accessing analytics data. Full API documentation with code examples in Python, JavaScript, Ruby, and PHP. OAuth 2.0 authentication and granular permission scopes for security.
Real-time event notifications sent to your endpoints when leads cross score thresholds, take high-intent actions, change segments, or trigger custom rules. Configure multiple webhook endpoints for different event types, retry logic for reliability, and payload customization to include only relevant data.
Export complete lead databases with scores and behavioral history for data warehouse integration, backup purposes, or migration. Scheduled exports to S3, SFTP, or other storage locations. CSV, JSON, and Parquet formats supported for compatibility with various data processing tools.
Send custom behavioral events from your product, mobile app, or other systems to MOTIONWAV via API. Track application-specific actions, integrate offline interactions like trade show booth visits, or incorporate signals from legacy systems. Custom events integrate into scoring models with configurable weights.
MOTIONWAV transforms scattered data into actionable intelligence through a systematic process that learns and improves continuously.
MOTIONWAV ingests data from all your existing systems—CRM, marketing automation, website analytics, product usage, email engagement, and more. Our pre-built integrations make connection simple, often requiring just a few clicks to authorize access. The platform automatically begins collecting behavioral signals and firmographic information, enriching sparse records with third-party data where needed.
Historical data import ensures the platform learns from your past successes and failures. We analyze closed-won and closed-lost opportunities to understand patterns, bringing years of sales intelligence to bear immediately. Data synchronization runs continuously, keeping MOTIONWAV's intelligence current as prospects engage with your brand.
With data flowing in, MOTIONWAV's machine learning engine analyzes your historical conversion patterns to identify what distinguishes successful deals from unsuccessful ones. The platform examines hundreds of potential signals—from obvious indicators like demo requests to subtle patterns like time-of-day engagement preferences—to discover which factors actually predict conversion in your specific business context.
This analysis produces a custom scoring model tuned to your reality, not generic best practices. If your enterprise customers typically take 45 days to convert while SMB deals close in 10, the model accounts for these dynamics. If webinar attendance strongly predicts sales in your industry but whitepaper downloads don't, the weights reflect that reality. The initial model calibration typically completes within 24-48 hours of data connection.
With the model trained, MOTIONWAV begins scoring every lead in your database and automatically updating scores as new behaviors occur. When a prospect visits your pricing page, opens an email, or downloads content, their score recalculates instantly based on the latest intelligence. This real-time updating ensures sales always work with current information rather than stale assessments.
Automatic segmentation sorts leads into actionable tiers—hot, warm, and cold—with recommended next actions for each category. High-intent prospects trigger immediate sales alerts, warm leads enter nurture programs, and cold contacts receive educational content. The platform handles this routing automatically based on rules you configure, eliminating manual triage and ensuring consistent lead handling.
MOTIONWAV doesn't stop learning after initial setup. The platform continuously monitors its own performance, comparing predicted outcomes against actual conversions. When the model predicts a lead will convert and they do, confidence increases. When predictions miss, the system analyzes why and adjusts.
Regular model recalibration ensures accuracy despite changing market conditions, product evolution, and shifting buyer behaviors. As you launch new products, enter new markets, or adjust positioning, MOTIONWAV adapts its scoring to reflect new realities. Automated performance monitoring alerts you when recalibration is recommended, and one-click retraining incorporates the latest data. This continuous improvement cycle means your lead prioritization becomes more accurate over time rather than degrading like static rule-based systems.
MOTIONWAV customers report significant improvements across key sales and marketing metrics within the first quarter of implementation. Data-driven prioritization transforms team efficiency and revenue outcomes.
By focusing effort on high-probability opportunities, sales teams convert leads to customers at more than triple their previous rate.
Engaging prospects at peak buying intent accelerates deals, compressing time-to-close and improving forecast accuracy.
Eliminating time spent on low-quality leads allows reps to focus on revenue-generating activities that actually close.
Understanding which campaigns generate quality leads enables smarter budget allocation and channel optimization.
Join revenue teams at leading companies who have eliminated guesswork from their sales process. MOTIONWAV's intelligent lead prioritization platform helps you identify, engage, and convert your highest-value opportunities.
Connect your data sources and start scoring leads within 48 hours. Pre-built integrations make setup simple.
Our customer success team guides you through setup, model optimization, and ongoing refinement.
Machine learning models that get smarter over time, adapting to your evolving business needs.
Phone: (513) 571-3674
Location: Los Angeles, CA