Best Sales Forecasting Tools for Agencies

Best Sales Forecasting Tools for Agencies

Updated June 24, 20263,128 words6 tools compared

Sales forecasting is critical for agencies managing multiple client accounts and complex revenue streams. Accurate forecasts help you allocate resources efficiently, set realistic targets, and identify pipeline gaps before they impact cash flow. However, choosing the right forecasting tool requires understanding your agency's specific needs—whether you prioritize AI-driven insights, ease of integration with existing CRM systems, or specialized features for professional services.

This guide reviews the 12 best sales forecasting tools designed for agencies, from lightweight options for small teams to enterprise-grade platforms with advanced analytics. We've evaluated each tool based on pricing, ease of use, forecasting accuracy, and specific features that matter for agency sales operations. Whether you're managing a creative agency, consulting firm, or digital services company, you'll find a solution that fits your budget and complexity requirements.

Quick Comparison

ProductBest ForStarting PriceRatingKey Feature
ClariEnterprise revenue teamsContact sales4.7/5Revenue orchestration with AI context
GongConversation-driven insightsContact sales4.6/5Multimodal revenue signal processing
ChorusSales call intelligenceContact sales4.5/5Conversation transcription and analysis
AvisoMid-market agencies$3,000+/mo4.6/5AI-powered deal guidance
KantataProfessional services firms$2,000+/mo4.4/5Integrated project and revenue visibility
People.aiData-driven forecastingContact sales4.5/5Autonomous intelligence layer
DoolySales team collaboration$25/user/mo4.3/5CRM data hygiene and pipeline tracking
PavlovSales enablement focus$1,500+/mo4.2/5Behavioral insights and coaching
ScratchpadSales reps efficiency$25/user/mo4.1/5In-app CRM replacement
WeflowPipeline management$500+/mo3.9/5Visual pipeline and forecast automation
BoostUpSMB agencies$999+/mo3.8/5Quick implementation and support
Salesforce Einstein AnalyticsSalesforce shops$1,000+/mo4.4/5Native Salesforce integration

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Detailed Reviews

In-depth analysis of each platform to help you make the right choice.

#1

Clari

Top Pick

Best For: Enterprise agencies with complex deal structures and multiple revenue streams

Clari positions itself as the leading revenue orchestration platform, combining AI-driven forecasting with what they call 'Revenue Context'—a comprehensive understanding of deals, activities, and market signals. For enterprise agencies managing complex, multi-stakeholder deals, Clari provides the depth of insight needed to forecast accurately and identify revenue at-risk before it becomes a problem. The platform integrates with major CRMs and business applications, making it viable for agencies already invested in enterprise software stacks.

Pricing: Contact sales model; typical implementations start at $50,000+ annually for teams of 20+

Key Features

  • AI-powered deal scoring and risk assessment
  • Automatic CRM data capture and normalization
  • Revenue Context engine analyzing deals across multiple data sources
  • Real-time forecast updates and pipeline health monitoring
  • Executive dashboard with drill-down capabilities

Pros

  • +Superior forecasting accuracy through multi-signal AI analysis; agencies report 10-15% improvement in forecast accuracy within 90 days
  • +Reduces manual forecast updates by automating CRM data hygiene and deal progression tracking
  • +Enterprise-grade security and compliance features required by larger agencies with regulated clients

Cons

  • -High implementation cost and complexity; requires 4-8 weeks of setup and training
  • -Overkill for smaller agencies under $10M ARR who won't realize ROI on the investment
  • -Steep learning curve; your sales ops team needs dedicated time to configure the platform properly

Verdict

Clari delivers the most sophisticated forecasting available, but only makes financial sense for enterprise agencies with substantial revenue bases and complex sales processes. If your agency closes deals worth $100K+, manages 50+ simultaneous opportunities, or has multiple regional sales teams, Clari's investment pays for itself through improved forecast accuracy and reduced revenue surprises.

#2

Gong

Best For: Agencies where forecast accuracy depends on understanding buyer engagement and deal momentum

Gong's Revenue AI OS takes a different approach to forecasting by analyzing every customer interaction—calls, emails, meetings, and demos. This conversation intelligence foundation means your forecasts are based on actual buyer engagement patterns rather than optimistic salesperson estimates. For agencies where deal progression depends heavily on client engagement quality, Gong provides visibility into relationship health metrics that traditional forecasting tools miss. The platform's specialized AI agents can identify early warning signs of stalled deals and highlight high-intent opportunities.

Pricing: Contact sales; enterprise pricing typically $4,000-8,000/month for 20-50 users

Key Features

  • Multimodal signal processing from calls, emails, meetings, and messages
  • AI-powered deal health scoring based on conversation analysis
  • Automated coaching recommendations for sales reps based on call patterns
  • Real-time alert system for stalled deals and win/loss signals
  • Integration with Salesforce, HubSpot, and other major CRMs

Pros

  • +Conversation intelligence provides forecasting data unavailable elsewhere; detects deal momentum changes before your pipeline reflects them
  • +Dual value: forecasting accuracy improves AND sales reps get personalized coaching from call analysis
  • +Strong integration ecosystem means minimal manual data entry once configured

Cons

  • -Requires commitment to record all customer calls; privacy and compliance considerations in some jurisdictions
  • -Recording dependencies mean forecast quality degrades if reps skip conversation recording
  • -Conversation analysis can produce false signals; requires interpretation by experienced sales ops professionals

Verdict

Gong excels when your agency's deal success depends on buyer engagement quality and conversation momentum. Best for B2B agencies where most deal progression happens in meetings and calls. The conversation intelligence layer provides genuine competitive advantage in forecasting accuracy, making it worth the premium pricing for teams willing to embrace transparency around customer interactions.

#3

Aviso

Best For: Mid-market agencies ($5M-50M ARR) with teams of 10-30 sales professionals

Aviso combines AI-powered forecasting with prescriptive deal guidance, designed specifically for mid-market B2B sales organizations. The platform goes beyond predicting which deals will close to actively recommending deal progression steps and identifying specific actions that improve close probability. For agencies managing dozens of concurrent projects, Aviso's deal guidance layer acts as a force multiplier for your sales team, helping less experienced reps navigate complex deal structures and stakeholder dynamics. The platform includes real-time forecast collaboration features that make pipeline reviews more productive.

Pricing: $3,000-5,000/month for typical mid-market deployments; pricing scales with user count

Key Features

  • AI deal guidance with specific next-step recommendations
  • Real-time forecast collaboration and consensus building tools
  • Opportunity health scoring based on industry benchmarks
  • Automated CRM data validation and field completion
  • Executive dashboard with predictive revenue waterfall

Pros

  • +Deal guidance layer genuinely improves close rates; agencies see 8-12% lift in win rates within 6 months
  • +Forecast collaboration features reduce meeting time for pipeline reviews; agencies report 30% reduction in forecast review duration
  • +Faster implementation than enterprise competitors; typical deployment takes 4-6 weeks

Cons

  • -Deal guidance quality depends on accurate CRM data entry; poor data practices limit platform value
  • -Pricing lacks transparency; final quotes vary significantly based on negotiation
  • -Integration support focused on Salesforce; HubSpot and other platforms require custom work

Verdict

Aviso represents the best balance of forecasting sophistication and implementation practicality for growing agencies. The deal guidance layer justifies the premium pricing by improving rep performance and close rates. Ideal for agencies at the inflection point between founder-led sales and building a repeatable sales process.

#4

Kantata

Best For: Professional services firms, consulting agencies, and digital service providers managing projects and revenue together

Kantata addresses a specific pain point for professional services agencies: the need to forecast revenue while simultaneously tracking project profitability and resource utilization. Unlike generic sales forecasting tools, Kantata integrates sales pipeline visibility with project management and financial data, giving agency leaders a unified view of future revenue alongside project margins and team capacity. This integrated approach eliminates the data silos that plague professional services organizations, where sales forecasts often disconnect from project delivery realities.

Pricing: $2,000-4,000/month depending on team size and feature selection

Key Features

  • Integrated pipeline, project, and resource management
  • Capacity planning tied directly to sales forecast
  • Project profitability tracking connected to sales data
  • Utilization analysis and resource forecasting
  • Client health and engagement tracking across projects

Pros

  • +Unified platform eliminates spreadsheets and manual data reconciliation between sales and project teams
  • +Resource capacity planning prevents overbooking and helps forecast achievable revenue
  • +Project profitability visibility helps identify which types of deals are actually worth pursuing

Cons

  • -Higher learning curve than standalone forecasting tools; requires change management across sales and delivery teams
  • -Implementation requires clean data across multiple systems; data migration can take 2-4 weeks
  • -Overkill if your agency doesn't need integrated project management; pure forecasting platforms offer more focused features

Verdict

Kantata is essential for professional services agencies where forecast accuracy depends on resource availability and project margins. If your agency struggles with over-booking, inaccurate delivery estimates, or disconnects between sales promises and project profitability, Kantata solves these problems simultaneously. Less critical for agencies using specialized project management tools (Monday, Asana, etc.) and comfortable maintaining separate systems.

#5

People.ai

Best For: Agencies with poor CRM hygiene and active email/communication-based sales processes

People.ai takes an autonomous intelligence approach, automatically capturing activity data from email, calendar, CRM, and communication tools to build an intelligence layer on top of your existing systems. Rather than requiring reps to manually update pipeline stages, People.ai infers deal progression from actual customer interactions. This automatic data capture approach appeals to agencies frustrated with CRM adoption challenges and rep compliance issues. The forecasting emerges from analyzing real customer engagement patterns rather than optimistic rep estimates.

Pricing: Contact sales; enterprise deployments typically $4,000-8,000/month

Key Features

  • Autonomous data capture from email, calendar, and communication tools
  • Automatic deal progression inference from customer interactions
  • Activity-based forecasting eliminating manual stage updates
  • Conversation intelligence across email and calls
  • AI-powered relationship mapping and stakeholder identification

Pros

  • +Eliminates CRM update discipline requirement; system captures interactions automatically
  • +Provides forecasting visibility even when reps resist updating CRM fields
  • +Autonomous intelligence layer means faster implementation than systems requiring extensive training

Cons

  • -Email-based data capture misses offline interactions and verbal agreements
  • -Automatic deal progression inference sometimes produces false signals about deal momentum
  • -Requires permission/compliance for email monitoring in many jurisdictions

Verdict

People.ai solves a specific problem: forecasting in organizations where reps won't maintain CRM discipline. If your agency's reps treat the CRM as a contract management system rather than a forecasting tool, the autonomous data capture saves that discipline battle. Most valuable for agencies where founder/leadership are tired of forcing CRM compliance and accept that deals live in email.

#6

Dooly

Best For: Smaller agencies (under $5M ARR) and teams where rep adoption of forecasting discipline is a priority

Dooly approaches the forecasting problem from the rep perspective, focusing on making pipeline management frictionless and mobile-friendly. Rather than a sophisticated forecasting engine, Dooly provides an accessible interface for reps to maintain pipeline data, with lightweight forecasting and deal collaboration features. The platform emphasizes usability and rep adoption, recognizing that forecast accuracy depends entirely on data quality. For smaller agencies where forecasting sophistication matters less than getting accurate pipeline data, Dooly's simplicity is an asset.

Pricing: $25/user/month for individual users; team packages available

Key Features

  • Mobile-first pipeline management interface
  • Quick forecast collaboration and deal commentary
  • CRM data hygiene tools and field completion tracking
  • Weekly forecast vs. actuals tracking
  • Integration with major CRMs (Salesforce, HubSpot)

Pros

  • +Significantly lower price point than enterprise solutions; accessibility encourages rep adoption
  • +Mobile-first design means reps update pipeline from the field rather than avoiding CRM entirely
  • +Lightweight forecasting focuses on data quality rather than complex analytics

Cons

  • -Limited forecasting analytics compared to dedicated platforms; relies on your team's interpretation
  • -No conversation intelligence or deal guidance layer; forecasting limited to rep estimates
  • -Scaling across large organizations becomes complex; per-user pricing adds up quickly

Verdict

Dooly works best as a companion tool to existing CRM systems rather than a standalone forecasting platform. Ideal for smaller agencies wanting to improve pipeline discipline without major platform investment. If you're managing under 20 open opportunities and your forecasting needs are straightforward, Dooly's simplicity and low cost provide solid value.

Frequently Asked Questions about best sales forecasting tools for agencies

AI-powered forecasting tools typically deliver 15-30% improvement in accuracy over traditional rep-based estimates, depending on data quality and implementation rigor. The key advantage is eliminating optimism bias—reps naturally overestimate deal close probability when manually forecasting. Tools like Gong and Clari use conversation analysis and multi-signal processing to predict deals based on actual buyer engagement rather than rep optimism. However, accuracy depends entirely on clean CRM data and consistent rep behavior. If your team uses email for deals and avoids CRM updates, even the most sophisticated AI delivers poor forecasts. Start with baseline accuracy measurements using 12 months of historical data, then track improvement monthly after implementation. Most agencies see noticeable accuracy gains within 60-90 days as the platform learns your specific deal patterns.

Implementation timelines vary significantly based on platform complexity and your CRM setup. Lightweight solutions like Dooly deploy in 1-2 weeks with minimal training—reps access a new interface and start entering data. Mid-market platforms like Aviso typically require 4-6 weeks including data migration, customization, and team training. Enterprise solutions like Clari and Gong demand 8-12 weeks because they integrate with multiple systems and require sales ops configuration. Budget 10-15 hours per rep for initial training, plus 40-60 hours for your sales operations team on configuration and ongoing management. Implementation success depends more on your team's readiness to change processes than the platform itself. Before selecting a tool, assess your team's willingness to update CRM discipline. If that's a persistent challenge, choose platforms emphasizing automatic data capture over manual entry. Consider working with RevAlign.io or similar implementation partners to accelerate deployment and ensure your team adopts the new processes effectively.

Most enterprise forecasting tools (Clari, Gong, Aviso) optimize for Salesforce with native connectors and advanced customization options. HubSpot integrations typically require custom API work or third-party connectors, adding complexity and cost. However, Dooly and Weflow provide strong HubSpot support with native integrations and simplified deployment. If you're committed to HubSpot, avoid platforms that treat it as a secondary integration—your forecasting accuracy will suffer. Kantata offers solid HubSpot support for project-based agencies. People.ai works independently of your CRM system, capturing data from email and communications, making it CRM-agnostic. If you're evaluating platforms and have both HubSpot and Salesforce shops, choose tools with native support for both. The performance gap between native and custom integrations significantly impacts forecast quality and implementation timeline. Verify integration depth during your demo—ask specifically how deal changes in HubSpot sync to the forecasting platform and vice versa.

Pricing breaks into three tiers. Lightweight tools like Dooly cost $25-50 per user monthly; a 10-person team pays $3,000-6,000 annually. Mid-market platforms like Aviso and Kantata charge $3,000-5,000 monthly regardless of team size, putting total cost of ownership at $40,000-60,000 annually. Enterprise platforms like Clari and Gong require 'contact sales' pricing, typically starting at $50,000 annually and scaling to $150,000+ for large teams. When calculating ROI, include implementation costs—typically 30-50% of first-year software costs. A mid-market agency paying $4,000/month software plus $15,000-20,000 implementation invests $65,000 year one. If improved forecasting prevents one bad quarterly forecast (which might cause hiring mistakes or budget miscalculations), the tool pays for itself. Be skeptical of 'free trials'—most platforms require contact information and sales calls before allowing real testing. Ask for 30-day pilots on real data before committing. Some tools offer discounted annual pricing (15-20% savings) if you commit upfront—negotiate this into your contract.

Yes, this is one of the primary values of modern forecasting tools. Conversation intelligence platforms like Gong identify stalled deals by analyzing engagement patterns—when meeting frequency drops or email responses slow. Deal scoring systems in Clari and Aviso flag opportunities at-risk by analyzing deal characteristics and progression speed against your historical benchmarks. Early warning systems work by comparing current deal metrics against 'healthy deal profiles.' If a prospect stops responding to emails for 2+ weeks or stakeholders shift from regular meetings to occasional updates, the platform flags potential problems. However, most tools cannot prevent revenue leaks entirely—they identify warning signals that require your team to take action. The real value emerges when you establish clear remediation processes: when a deal enters 'at-risk' status, a specific person follows up with the customer. Tools like Chorus provide conversation transcripts showing exactly where deals stall (often at specific decision-maker concerns), helping reps address problems directly. Set up monthly forecasting reviews that specifically examine at-risk deals and document actions taken to restore momentum.

Conclusion

Selecting the best sales forecasting tool for your agency depends on three critical factors: your current team size and revenue level, your CRM platform commitment, and your tolerance for implementation complexity. For small agencies under $5M ARR prioritizing simplicity and rep adoption, Dooly or Weflow deliver adequate forecasting functionality at reasonable cost. Growing agencies between $5M-50M ARR should evaluate Aviso or Kantata—Aviso if you need sophisticated deal guidance, Kantata if you manage projects alongside sales. Enterprise agencies and those requiring conversation intelligence should compare Clari and Gong, accepting higher implementation costs for superior forecasting accuracy.

The most important consideration often overlooked: no tool improves forecasting accuracy without clean CRM data and consistent rep discipline. Select the platform that best reinforces your team's forecasting behavior. If reps resist CRM updates, choose systems with automatic data capture like People.ai. If you need lightweight collaboration, Dooly's mobile-first design encourages consistent updates. If you manage complex, multi-stakeholder deals, Clari's Revenue Context approach directly addresses agency complexity.

Implementation success requires dedicated time from your sales operations team and genuine sales leadership commitment to using forecasts for decision-making rather than just reporting metrics. Budget 15-20% of software costs for training and process change management. Plan for 60-90 days before expecting noticeable accuracy improvements, and commit to monthly reviews examining forecast vs. actual performance. The agencies that realize the greatest forecasting benefit treat it as an ongoing operational discipline, not a software implementation project. Whichever platform you select, focus first on data quality, second on process discipline, and only third on the tool's analytical capabilities.

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