When evaluating sales engagement platforms, focusing only on the superficial sticker price overlooks important factors comprising the true total cost of ownership over time. While brochures promote nominal rates, deeper examination uncovers hidden expenses like additional functionality requirements and inflexible scaling.
Let’s conduct an apples-to-apples cost comparison analyzing FlashRev versus Salesloft across attributes like standalone capabilities, ongoing charges, and long-term adaptability to changing needs. Illuminating entire financial models dispels hype surrounding any singular metric, like Salesloft cost alone.
Startup & Implementation
Salesloft requires bolt-on modules for attributes like custom fields and workflow automation included standard with FlashRev, inflating launch budgets unnecessarily.
Ongoing Subscription Fees
Salesloft charges inflated percentages for active user additions, hindering scale. FlashRev’s tiered plans maintain affordability, adapting effortlessly to fluctuating teams without penalty.
Feature Parity & Gaps
FlashRev provides sales acceleration functionality intrinsically while Salesloft relies on expensive add-ons, increasingly the true Salesloft cost as organizations outgrow basic packages.
Success Services & Consulting
Salesloft offers limited self-service support while FlashRev champions clients through ongoing customized playbook development and strategy consultations justifying its premium.
3rd Party Integration Costs
Salesloft requires firms to separately license core CRM systems it lacks native connectivity to, adding layered expenses beyond intrinsic FlashRev functionality.
Future-Proof Scaling
Salesloft’s prohibitive growth tiers introduce budgeting obstacles, whereas FlashRev flexibly grows budgets in lockstep with expanding needs without ballooning true costs.
By examining the complete financial picture nurturing sustainable success over temporary discounts alone, FlashRev emerges as the partner maximizing value through a lower total cost of ownership empowering continuous optimization and evolution.