Automate lead capture and support with chatbots & agents
ManyChat is a conversational marketing platform that builds and deploys chatbots for Facebook, Instagram, SMS, and web; it suits marketers and SMBs who need omnichannel automated lead capture and customer support, and its pricing ranges from a functional free plan to paid Pro tiers with per-contact billing, making it accessible for growth-stage businesses.
ManyChat is a chatbots & agents platform that helps businesses build automated messaging flows across Facebook Messenger, Instagram, SMS, and web chat. It focuses on conversational marketing and automating lead capture, nurture, and order notifications using a visual Flow Builder and audience segmentation. ManyChat’s key differentiator is its native commerce and broadcast tooling for marketers rather than developer-first bot frameworks, serving agencies, e-commerce stores, and marketing teams. Pricing includes a free tier with limits and a Pro plan billed per contact, plus higher-volume/agency Enterprise options for larger teams.
ManyChat is a conversational marketing and chatbot builder originally launched to serve businesses that want to convert social messaging into leads and sales. Founded to simplify chatbot creation for non-developers, ManyChat positions itself as a marketing-first automation layer that spans Facebook Messenger, Instagram Direct, SMS, and web chat widgets. Its core value proposition is enabling marketers to design automated customer journeys without code, tie them directly to commerce flows, and manage audience segments for targeted broadcasts and drip campaigns.
ManyChat’s feature set centers on a visual Flow Builder for drag-and-drop conversation design, Broadcasts for scheduled and targeted messaging, and Audience segmentation that stores per-contact custom fields and tags. The Flow Builder supports conditional logic, actions (like add tag, subscribe to sequence, or call external HTTP requests), and native widgets for images, quick replies, and galleries. ManyChat also offers integrations for commerce actions: built-in Shopify integration enables product galleries, carts, and checkout links inside messages; SMS and email add additional channels for multichannel sequences; and a Growth Tools library provides embeddable widgets, landing pages, and Messenger ref URLs for acquisition.
ManyChat offers a Free plan that provides core Flow Builder access, basic audience storage, and broadcasting to a limited number of contacts; this plan is useful for testing but includes ManyChat branding on some features. The Pro plan is billed monthly and prices scale by the number of active contacts — ManyChat publishes a per-contact tiered pricing model (Pro pricing varies depending on contact count and is shown in the app); Pro unlocks unlimited broadcasts, sequence automation, A/B testing, and advanced growth tools. Enterprise (Custom) pricing is available for agencies and large brands and adds SSO, service-level agreements, dedicated onboarding, and higher messenger/SMS throughput. ManyChat also charges for add-ons like high-volume SMS credits depending on region.
Marketers, e-commerce managers, and agencies commonly use ManyChat for automated lead capture and post-purchase messaging workflows. Example users include an E-commerce Marketing Manager using ManyChat to recover abandoned carts via Messenger/SMS sequences that increase checkout conversions by measurable percentages, and a Social Media Manager using it to route and automate Instagram DMs into qualified leads for sales teams. ManyChat competes with tools like Chatfuel and Klaviyo’s conversational offerings; compared to developer-focused frameworks, ManyChat emphasizes marketer-centric commerce integrations and broadcast controls.
Three capabilities that set ManyChat apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free | Free | Basic Flow Builder, limited active contacts, ManyChat branding on features | Testing flows and very small audiences |
| Pro | Starts at $15/month (billed per contact) | Monthly fee scales by number of active contacts; unlocks broadcasts/sequences | Growing businesses needing multichannel automation |
| Enterprise | Custom | Custom contact thresholds, SSO, SLA, dedicated onboarding | Agencies and large enterprises with high volume needs |
Copy these into ManyChat as-is. Each targets a different high-value workflow.
You are a ManyChat conversation writer for an e-commerce store. Produce a 3-message abandoned-cart flow optimized for Facebook Messenger or Instagram DMs. Constraints: each message must be 60–120 characters, include one clear CTA button title (max 3 words), a recommended delay in minutes between messages, and a short remark to use as a message tag. Output format: JSON array of 3 objects with keys: message_text, delay_minutes, button_text, tag. Example object: {"message_text":"...","delay_minutes":30,"button_text":"Complete Order","tag":"abandoned_cart_reminder"}. Do not include any extra explanation outside the JSON array.
You are a ManyChat DM flow designer for Instagram DMs. Create a 5-step lead qualification sequence with quick replies and one open-field collection for phone or email. Constraints: every message ≤200 characters, include quick reply options where appropriate, capture either phone or email with a single input node, and include a fallback reply if user skips. Output format: JSON array of step objects with keys: step_number, message_text, quick_replies (array or null), collect_field ("phone"|"email"|null), fallback_text. Example: {"step_number":1,"message_text":"...","quick_replies":["Yes","No"],"collect_field":null,"fallback_text":"..."}. Return only JSON.
You are ManyChat flow architect for a product support team. Produce a decision-tree style FAQ flow with up to 10 nodes: triggers, conditions (user intents or keywords), bot messages, quick-reply buttons, and escalation rule to live chat after 2 failed turns. Constraints: include variable placeholders ({{first_name}}, {{order_id}}) where relevant, ensure every node has a unique node_id, and include a final fallback node. Output format: JSON object with nodes array; each node: {"node_id","trigger","conditions":[...],"message_text","quick_replies":[...],"next_node_id"}. Provide concise messages. No extra commentary.
You are ManyChat transactional content specialist. Generate 3 transactional templates: Order Confirmation, Shipping Update, Delivery Confirmation. For each template provide both Messenger and SMS variants, include personalization tokens ({{first_name}}, {{order_number}}), recommended send timing, and suggested tags for segmentation. Constraints: Messenger version can be up to 300 characters, SMS must be ≤160 characters. Output format: JSON array of 3 objects: {"type":"Order Confirmation","channel_variants":{"messenger":"...","sms":"..."},"send_timing":"immediate|X minutes|X hours","tags":[...]} . Return only JSON.
You are ManyChat growth strategist. Design a 6-message nurture campaign for new leads, with segmentation rules, re-engagement triggers, and KPIs to track. Constraints: include two audience segments (High Intent, Browsers) with different message variants, timing cadence (days/hours), follow-up rules for non-responders, unsubscribe handling, and a re-segmentation rule after message 3. Output format: JSON object with keys: segments (definitions), sequence (array of messages per segment with timing and CTA), triggers (re-engage/escalate), kpis (list with calculation formula). Few-shot examples: show one sample message object: {"message":"...","timing":"48h","cta":"View Offer"}. Return only JSON.
You are a ManyChat growth analyst. Produce a full A/B test plan for a broadcast to increase checkout clicks: two content variants (A/B), target segment, sample size calculation for 95% confidence and minimum detectable effect 5%, split allocation, KPI definitions (open rate, CTR, conversion rate), rollout steps in ManyChat, and post-test statistical analysis method. Constraints: include formulas and a short example calculation for 10,000 contacts. Output format: JSON object with keys: variants (texts), targeting, sample_size_calc (with formula and example), rollout_steps (ordered list), analysis_method. Return only JSON.
Choose ManyChat over Chatfuel if you prioritize native Shopify commerce flows and per-contact broadcast segmentation for marketing teams.
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