Spiky.ai

Last updated: January 2026

What Is Spiky.ai?

Sales calls hold invaluable data about what works and what doesn't, but most of that intelligence dies when calls end. Spiky.ai is a conversation intelligence platform that analyzes sales meetings, extracting insights about talk patterns, engagement signals, and coaching opportunities that help teams close more deals through better conversations.

The platform records and transcribes meetings, then applies AI to understand dynamics human observers miss: who dominated conversation, when prospects engaged or withdrew, which topics generated interest, and how reps' behavior compares to top performers.

For sales leaders seeking data-driven coaching and revenue teams wanting to replicate what works, Spiky.ai transforms meeting recordings into actionable intelligence.

Key Features Explained

Meeting Recording and Transcription

Automatic recording and transcription of video meetings across Zoom, Teams, and Google Meet. Accurate transcripts become the foundation for analysis.

Talk Time Analysis

Track talk-to-listen ratios. Best practices suggest reps should listen more than talk. Spiky.ai quantifies patterns and highlights opportunities for balance improvement.

Engagement Detection

AI detects engagement signals: question frequency, positive responses, objection patterns. Understand which topics generated interest and which fell flat.

Coaching Insights

Automated identification of coaching moments. Flag calls where reps missed opportunities or handled objections poorly. Focused coaching on specific improvement areas.

Deal Intelligence

Aggregate insights across meetings in deal cycles. Track how conversations evolved from first call to close (or loss). Understand deal dynamics over time.

Team Comparison

Compare conversation patterns between top performers and others. Identify behaviors that correlate with success. Data-driven playbook development.

CRM Integration

Sync insights with Salesforce, HubSpot, and major CRMs. Meeting intelligence connects to deal records. Complete picture of deal health.

Pricing (2026)

Spiky.ai offers tiered pricing based on users and features:

Starter — Per-user pricing for small teams. Core recording, transcription, and basic analytics.

Professional — Enhanced analytics, coaching features, and CRM integration.

Enterprise — Custom pricing for large teams with advanced requirements and dedicated support.

Specific pricing available upon request. Free trial to evaluate capabilities.

Who Uses Spiky.ai?

Sales Managers

Sales managers leverage Spiky.ai to coach teams with specific, data-backed feedback without sitting in on every meeting. The platform surfaces coachable moments automatically, allowing managers to focus their limited time on high-impact interventions. Weekly coaching sessions become more productive when based on actual call data rather than subjective recollections.

Sales Enablement Teams

Enablement professionals build training programs based on actual successful patterns from top performers. Rather than theoretical best practices, they can show new hires exactly what winning calls look like. Progress tracking over time demonstrates training ROI and identifies where additional support is needed.

Revenue Operations

RevOps teams connect conversation quality metrics to pipeline health indicators. Deal risk becomes visible earlier when call sentiment deteriorates. This data improves forecasting accuracy and enables process improvements backed by evidence rather than hunches.

Account Executives

Individual contributors use Spiky.ai for self-coaching through call review. Understanding personal patterns helps identify improvement areas before manager feedback. Top performers analyze their own wins to consciously replicate successful approaches.

Customer Success Teams

While primarily sales-focused, customer success managers find value in analyzing renewal conversations and quarterly business reviews. Understanding customer sentiment during these critical touchpoints helps reduce churn and identify expansion opportunities.

Pros and Cons

What We Like

Automated analysis saves hours: Manual call review is impractical at scale. Spiky.ai surfaces the most important moments without requiring managers to listen to entire recordings.

Quantified insights beyond subjective impressions: Data replaces opinions in coaching conversations. Reps can't argue with metrics showing their talk-to-listen ratio is 70/30 when it should be 40/60.

Coaching focus accelerates improvement: The platform doesn't just analyze—it identifies specific coaching opportunities that drive skill development.

CRM integration creates complete context: Meeting intelligence connected to deal records provides a holistic view of opportunity health.

Team benchmarking identifies success patterns: Understanding what top performers do differently enables systematic replication across the team.

What Could Be Better

Requires consistent recording adoption: Value depends on capturing all relevant calls. Teams with inconsistent usage see fragmented insights.

AI analysis isn't always perfectly accurate: Sentiment detection and topic identification occasionally miss nuance or misinterpret context.

Value depends on coaching follow-through: The platform provides insights, but improvement only happens when managers act on them consistently.

Pricing can be significant for larger teams: Per-seat pricing adds up quickly for enterprise deployments.

Some features require learning curve: Getting full value requires understanding how to interpret analytics and build effective coaching workflows.

Spiky.ai vs. Alternatives

vs. Gong: Gong is the market leader with more features; Spiky.ai may offer better value for smaller teams.

vs. Chorus: Similar capabilities. Compare specific features and pricing for your team size.

vs. Manual call review: The real alternative. Spiky.ai scales review that managers can't manually achieve.

Tips for Success

Record Every Customer Conversation

Value compounds with comprehensive data. Establish recording as the default for all external calls, not just important meetings. The patterns that emerge from aggregate analysis require volume to be meaningful.

Build Coaching Rhythms Around Data

Analysis without action is wasted investment. Schedule weekly one-on-ones where call insights drive the agenda. Create a feedback loop between data and development conversations.

Study Top Performer Patterns

Use comparison features to identify what your best reps do differently. Document these patterns as a playbook that new hires can follow. Data-driven best practices beat theoretical frameworks.

Track Improvement Over Time

Individual call scores matter less than trends. Look at how metrics evolve over weeks and months. Celebrate improvement trajectories, not just absolute numbers.

Involve Reps in Their Own Analysis

Self-coaching accelerates development. Encourage reps to review their own calls before manager feedback. Ownership of improvement starts with awareness of current patterns.

Getting Started

Implementing Spiky.ai successfully requires thoughtful rollout. Start with a pilot group of 5-10 reps who are open to feedback and technology adoption. This creates early wins and internal champions.

Integration setup typically takes one to two weeks, including calendar connection, CRM sync, and team configuration. Most organizations start seeing valuable insights within the first month of consistent usage.

Success metrics to track during rollout include recording adoption rate, coaching session frequency, and leading indicators like talk-to-listen ratio improvements. Mature implementations connect these to lagging indicators like win rate and average deal size.

Training your team on the platform takes minimal time—the interface is intuitive. The bigger investment is building coaching culture around the data, which requires manager commitment and organizational support.

FAQ

Is recording sales calls legal?

Recording laws vary by jurisdiction. Most require at least one-party consent, while some states and countries require all-party consent. Spiky.ai provides consent mechanisms including meeting notifications and disclosure language. Compliance responsibility rests with users who must understand applicable regulations in their territories.

How accurate is the transcription?

Transcription accuracy is generally excellent for clear audio with standard accents. Quality can degrade with poor audio quality, heavy accents, or specialized industry terminology. Most teams find accuracy sufficient for coaching purposes even when not word-perfect.

Can prospects see the analysis?

No. All analysis happens internally and is only visible to your team. Prospects experience a normal meeting with standard recording disclosure. They never see engagement scores, coaching flags, or any of the intelligence Spiky.ai generates.

Does Spiky.ai work for customer success calls?

Yes. While the platform is primarily designed for sales conversations, the same analytics apply to any customer-facing meetings. Customer success teams use it for quarterly business reviews, renewal conversations, and escalation calls where understanding sentiment matters.

How long does implementation take?

Most teams complete technical setup within one to two weeks, including calendar integration, CRM connection, and user provisioning. Realizing full value takes longer as coaching habits develop and data accumulates—expect three to six months for mature adoption.

What video platforms are supported?

Spiky.ai integrates with major video conferencing platforms including Zoom, Microsoft Teams, and Google Meet. The bot joins meetings automatically based on calendar events, requiring no manual intervention from reps.

Can I try before committing?

Yes. Spiky.ai offers a free trial period to evaluate the platform with your actual calls. This allows teams to assess transcription quality, analytics relevance, and coaching workflow fit before purchasing.

Final Verdict

Spiky.ai brings data to sales conversations that were previously analyzed through subjective impression. For teams serious about coaching and process improvement, conversation intelligence provides insights that transform how sales teams develop.

The platform excels when organizations commit to coaching culture—data alone doesn't improve performance, but data-informed coaching accelerates development significantly. Teams that build consistent workflows around Spiky.ai insights see measurable improvements in rep performance and deal outcomes.

Rating: 4.2/5