MAP Communications Pricing Overview
MAP Communications Pricing Key Insights
Last updated on Apr 09, 2026
MAP Communications offers 3 pricing editions, starting from $49 to $339. MAP Communications pricing tiers are designed to support different usage levels and team sizes. Compare the MAP Communications pricing table below to figure out the best fit for your needs. Some plans may require you to contact MAP Communications for custom pricing.
Pay as You Go — $49 / Per Month
125 Minutes — $179 / Per Month
250 Minutes — $339 / Per Month
*Pricing information is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations must be conducted with the seller.
Top-Rated Alternatives
MAP Communications Alternatives Pricing
The following is a quick overview of editions offered by other Virtual Receptionist Services Providers
| Product | Price | Features |
|---|---|---|
![]() Virtual Receptionist Starter - 30 Calls |
Starting at $300.00Per Month |
Friendly, professional agents answer your calls. $11.50/call price after 30-call monthly minimum.
|
![]() Phone Answering |
Starting at $165.00Per Month |
|
![]() Starter |
$24.95Per Month |
Starter: $24.95/mo for 30 calls | $1.50 per additional call | 24/7 answering, call forwarding, dedicated business number, call summaries, call recordings & transcriptions, multilingual receptionist, spam blocking, appointment scheduling, Zapier & Google Calendar integration, custom integrations, memory, and send texts.
|
Various alternatives pricing & plans
Pricing information for the above various MAP Communications alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.
Categories on G2
Explore More
What are the most reliable sensitive data discovery systems for minimizing false positives and negatives, according to verified users?Which load balancing software handles session persistence and failover for mission-critical web applications?Which low-code ML platforms are actually worth using for a startup that wants to build predictive models without hiring a full data science team?




