Tars

What is tars

Tars is a conversational landing page and chatbot builder that lets teams design guided chat flows for lead generation, support triage, and customer engagement. The platform focuses on replacing traditional web forms and static FAQ pages with interactive, decision-tree-driven conversations that can be embedded on websites, used as standalone landing pages, or deployed through messaging channels. Tars emphasizes ease of use through a visual flow builder and prebuilt templates targeted to specific use cases such as appointment booking, lead qualification, and support triage.

Tars is positioned for marketing teams, sales operations, and customer service groups who need higher conversion rates from traffic, faster lead qualification, or a low-code way to automate repetitive customer interactions. The tool typically attracts teams with measurable conversion goals (form completions, demo bookings, policy lookups) and organizations that want to run experiment-driven landing page iterations without engineering overhead.

Implementations of Tars commonly sit in front of CRM systems, email marketing platforms, and scheduling tools so that captured leads are routed automatically to sales or nurturing workflows. The product scope covers chat flow design, multi-step conditional logic, form-like field capture, analytics on chat conversion funnels, and integrations for lead routing.

Tars features

Tars provides a set of features focused on building and running conversational landing pages and automated chat flows:

• Visual flow builder: Drag-and-drop flow editor to create conditional question/answer paths, logic branches, and data capture nodes without writing code.
• Prebuilt templates: Industry and use-case templates for lead generation, appointment booking, customer onboarding, and surveys that reduce setup time.
• Multiple deployment options: Embed on websites, use as standalone conversational landing pages, and integrate with messaging channels via webhooks.
• Lead capture and routing: Form-like field capture, validation, and automatic forwarding to CRMs or email workflows.
• A/B testing and conversion analytics: Built-in analytics to compare conversational flows, track conversion funnels, and measure drop-off points.
• Custom branding and UI controls: Options for color, welcome screens, avatars, and custom prompts to match brand tone.
• Multi-language support: Ability to configure chat flows in multiple languages for international audiences.
• Integrations and webhooks: Native integrations with CRMs, analytics tools, and marketing automation platforms plus generic webhook support for custom endpoints.
• Conditional logic and personalization: Rules to show/hide questions, prefill values from URL parameters, and personalize messages using captured data.
• GDPR and privacy controls: Consent capture widgets and controls to manage personal data capture and retention.

These features are grouped to help teams quickly prototype conversational funnels, route leads to sales, and analyze performance without deep technical involvement. The flow builder is the core interface; it supports branching, variable storage, and basic scripting-like capabilities for formatting and conditional display.

What does tars do?

Tars builds interactive chat experiences that replace static forms and frequently asked questions by guiding visitors through a short conversation. Instead of presenting a long form, Tars presents one question at a time, validating user input as it is collected and using decision logic to vary the next question. This approach reduces friction, improves perceived responsiveness, and typically raises completion rates compared with traditional landing forms.

At runtime, a Tars chatbot captures structured responses (names, emails, phone numbers, choices) and routes them to downstream systems through native integrations or HTTP webhooks. Teams can use Tars for appointment scheduling, demo booking, policy lookups, surveys, onboarding flows, and basic troubleshooting triage. The product is optimized for conversion-oriented tasks where simple, predictable dialogue trees suffice.

Tars also tracks the visitor journey inside each chat, reporting metrics such as view-to-start rate, drop-off by step, and completion rate. That data supports iterative optimization—changes to question wording, sequence, or UI can be A/B tested to improve conversions.

Tars pricing

Tars offers these pricing plans:

• Starter: $49/month (billed monthly) — basic builder access, limited chats per month, standard templates
• Business: $199/month (billed monthly) — higher chat volume, A/B testing, basic integrations and analytics
• Premium: $499/month (billed monthly) — advanced routing, priority support, custom branding, and more concurrent chats
• Enterprise: Custom pricing — white-glove onboarding, single sign-on, custom SLAs, and bulk licensing for large teams

Most customers are offered discounted annual billing options; for example, the equivalent annual rates typically reduce the effective monthly cost by one or two months compared with monthly billing. Check the Tars pricing plans for the latest rates, exact feature comparisons, and enterprise options.

Pricing notes and typical inclusions:

• Free Trial: Short-term trial access is commonly available so teams can validate conversion uplift before committing. See the trial details on the provider's site.
• Overage and usage tiers: Higher plans increase the monthly conversation or active chat allowance; overages are charged per additional conversation or seat depending on the contract.
• Add-ons: Extras such as additional integrations, premium templates, or SLA-backed support are usually negotiated for Premium/Enterprise customers.

How much is tars per month

Tars starts at $49/month for the entry-level Starter plan when billed monthly. The Business and Premium tiers scale to $199/month and $499/month respectively for teams that need higher throughput and enterprise features.

Monthly pricing typically corresponds to a set allotment of active conversations or contacts processed each month; teams that exceed those limits commonly upgrade to the next tier or purchase overage credits.

How much is tars per year

Tars costs approximately $588/year for the Starter plan if you choose annual billing at the equivalent of $49/month, with typical discounts applied on longer-term commitments. Business and Premium annual rates are usually billed at a lower effective monthly rate versus month-to-month billing and are subject to negotiated enterprise discounts for multi-seat contracts.

For precise annual pricing, volume discounts, and contract terms, consult the vendor's commercial team or view the detailed options on the Tars pricing plans.

How much is tars in general

Tars pricing ranges from about $49/month for small teams to custom Enterprise pricing for large organizations. Smaller teams and individual marketers can start on the lower tier to validate conversion improvements, while sales organizations and customer service teams use Business or Premium tiers to handle higher chat volumes and to integrate with CRMs.

Total cost of ownership should include implementation time (typically small for simple flows), staff time for flow design and optimization, and any integration or CRM connector costs. Budget planning items to consider:

• Implementation time: internal hours required to map customer journeys and build/outflow templates
• Integration costs: any developer time or middleware subscription to connect Tars with CRM or analytics systems
• Marketing costs: ad spend driving traffic to conversational landing pages and A/B testing variations

What is tars used for

Tars is used primarily for converting website visitors into qualified leads, automating routine customer interactions, and shortening the path to contact for high-intent visitors. Common uses include:

• Lead generation and qualification: Replace multi-field forms with conversational flows that progressively qualify leads and collect only necessary information.
• Appointment and demo booking: Guide prospects through slot selection and routing to calendars, then create bookings in scheduling systems.
• Support triage and FAQs: Automate initial diagnostic questions, surface relevant help content, and escalate to human agents when needed.

Beyond these primary uses, organizations use Tars for surveys, NPS collection, onboarding checklists, and post-purchase follow-ups. The ability to tailor flows per campaign or traffic source makes it useful for marketers running performance campaigns: different audiences can be directed to tailored chat flows designed to resonate with their intent.

Operational benefits include faster lead response times (instant qualification versus waiting for a human), standardized data capture, and instrumented conversion funnels that make optimization iterative and measurable. Teams that integrate Tars with their CRM can also automate lead scoring and follow-up workflows so sales reps receive warm, pre-qualified leads.

Pros and cons of tars

Pros:

• Visual, no-code flow builder reduces reliance on engineering and shortens time to launch conversational landing pages.
• Conversational format typically improves completion rates over long forms and increases conversion for certain use cases.
• Built-in templates and analytics speed iteration and optimization for marketers focused on measurable conversions.

Cons:

• Conversational, decision-tree bots are best suited to predictable, linear dialogues; complex open-domain or context-rich conversations require advanced NLP systems.
• Pricing scales with chat volume; organizations with very high traffic may find costs rise quickly unless flows are highly optimized.
• Integrations beyond the included native connectors may require webhooks or middleware and some engineering effort to maintain reliability at scale.

Operational tradeoffs to consider: Tars is strong when the conversation is structured and goal-directed (bookings, lead capture). If your use case requires nuanced natural language understanding or multi-turn contextual memory on par with advanced conversational AI platforms, you should evaluate more NLP-centric platforms alongside Tars.

Tars free trial

Tars typically offers a short free trial period for prospective customers to explore the builder, test templates, and validate conversion improvements. The trial is designed to let teams build a few flows and run limited visitor traffic to measure completion rate improvements before purchasing a subscription.

During the trial you can usually access the visual flow editor, a subset of templates, and basic analytics so you can compare a conversational landing page against a traditional form. Trials often include support resources, documentation, and sample integrations to help with quick validation.

To start a trial, sign up on the vendor site and follow the onboarding prompts. For up-to-date trial terms and eligibility, visit the Tars pricing plans and trial signup pages.

Is tars free

No, Tars is not fully free for production use. The platform commonly provides a short trial period for evaluation, but production access to higher chat volumes and integrations requires a paid Starter, Business, Premium, or Enterprise subscription. A free tier or limited demo account may be available in promotional programs, but sustained use and heavier traffic are covered by paid plans.

Tars API

Tars exposes integration points to allow chat flows to communicate with external systems and to embed conversational landing pages into existing web properties. Typical API and integration capabilities include:

• Webhook callbacks: Post captured form data to your endpoint in real time for routing into CRMs, marketing automation, or custom databases.
• RESTful endpoints for starting sessions: APIs to create or hydrate chat sessions from external triggers (e.g., prefill user data or restore previous session state).
• Event tracking: Ability to send event data to analytics pipelines or tag specific steps for funnel analysis.
• CRM connectors: Native and third-party integrations for platforms like HubSpot, Salesforce, and Pipedrive to push leads automatically.

For teams that need tighter control, Tars often documents a developer section with request/response formats, authentication details, and sample code. Review the provider's API documentation for parameter lists, rate limits, and examples of integrating chat events into your lead processing pipeline.

Security and compliance considerations around the API typically include HTTPS-only endpoints, optional authentication tokens for webhook validation, and configurable data retention or consent capture for GDPR compliance.

10 Tars alternatives

• Drift — Conversational marketing and sales chat focused on real-time chat, account-based marketing, and routing to sales reps.
• Intercom — Customer messaging platform combining live chat, helpdesk, and bots for support and onboarding across web and mobile.
• ManyChat — Bot builder primarily aimed at marketing automation on Facebook Messenger, Instagram, and web chat with a visual flow designer.
• Landbot — No-code conversational builder optimized for web-based chatbots and conversational landing pages with visual flow design.
• Chatfuel — Messenger-focused chatbot builder for marketing and e-commerce applications with a block-based flow editor.
• Drift (repeated for emphasis on sales-focused flows) — see above for sales-aligned conversational playbooks
• Zendesk Answer Bot — Support-focused automation that surfaces help articles and escalates to agents when needed
• Freshchat — Messaging platform from Freshworks combining bots, live chat, and user context for customer engagement
• HubSpot Conversations — Chat and bot features built into HubSpot CRM for routing and lead capture
• Olark — Simpler live chat solution with basic automation and lead capture

Paid alternatives to tars

• Drift: Drift is aimed at revenue teams and provides live chat, playbooks, and account-based routing to streamline sales conversations. It emphasizes real-time human handoff and intent data for account prioritization.
• Intercom: Intercom combines product messaging, bots, and help desk functions. Its bot flows and Inbox are useful for teams that want combined marketing and support messaging on a single platform.
• Landbot: Landbot provides a web-first visual builder focused on conversational landing pages; it competes directly with Tars on no-code flow creation and conversion optimization.
• ManyChat: ManyChat is a marketing-first bot platform targeting social messaging channels and web chat; it includes automation sequences and broadcast messaging for marketing use cases.
• HubSpot Conversations: Included with HubSpot CRM tiers, this solution integrates chat, bots, and a shared inbox directly with CRM records for seamless lead management.

Open source alternatives to tars

• Rasa: Rasa is an open source conversational AI framework that supports complex, contextual dialog and custom NLU. It requires developer resources to build and host but offers full control.
• Botpress: Botpress is an on-premise open source chatbot platform with a visual flow builder and modular architecture suited to teams that need data residency and customization.
• Microsoft Bot Framework (Bot Framework SDK): SDK and tools for building custom conversational agents that can be deployed across channels; requires engineering investment.
• Rocket.Chat (with bots): Open source messaging platform with bot integrations and the ability to host chatbots in controlled environments.
• Chatwoot (with bot integrations): Open source customer engagement suite where bots can be added for initial triage before handing off to agents.

Frequently asked questions about Tars

What is Tars used for?

Tars is used for lead generation, booking, and customer triage via conversational landing pages. Organizations deploy Tars to replace long forms with guided conversations that reduce friction and increase conversion rates. Marketing, sales, and support teams commonly use it to qualify leads, schedule appointments, and automate simple customer interactions.

Does Tars integrate with CRM systems?

Yes, Tars integrates with popular CRM systems. Common integrations include HubSpot, Salesforce, and Pipedrive through native connectors or webhooks that push captured lead data into CRM records for automated routing and follow-up.

How much does Tars cost per user or per month?

Tars starts at approximately $49/month for the Starter plan on a month-to-month basis, with Business and Premium tiers at higher monthly rates for increased conversation volumes and advanced features. Enterprise pricing is custom based on usage and service-level needs.

Can Tars be used for customer support?

Yes, Tars can be used for first-level support triage. It automates diagnostic questions, surfaces knowledge-base content, and escalates complex queries to human agents while collecting ticket context to speed resolution.

Does Tars offer a free trial?

Yes, Tars commonly offers a short free trial for evaluation. The trial enables teams to build flows, test templates, and measure early conversion metrics before committing to a paid plan.

Is Tars a no-code tool?

Yes, Tars is primarily a no-code platform. It provides a drag-and-drop visual flow builder for building decision-tree conversations without programming, though integrations and advanced automation may require webhook configuration or developer support.

Can Tars handle multiple languages?

Yes, Tars supports multi-language flows. You can design flows in different languages or duplicate a flow to localize content, making it suitable for international campaigns and multilingual audiences.

How secure is Tars for handling customer data?

Tars secures data over HTTPS and offers privacy controls. Production deployments typically include encrypted transport, consent capture options, and configurable retention settings; Enterprise plans can offer additional compliance features and contractual assurances.

Can chat flows be A/B tested in Tars?

Yes, Tars supports A/B testing and conversion analytics for flows. The platform tracks funnel drop-off and completion rates so teams can iterate on question order, wording, and UI to improve conversion metrics.

Does Tars provide an API for developers?

Yes, Tars provides webhooks and API endpoints for integration. The API surface allows you to post captured data to external endpoints, start or hydrate sessions programmatically, and receive event callbacks for chat activity; see the vendor's developer documentation for exact endpoints and authentication details.

tars careers

Tars hires across product, engineering, customer success, and marketing roles focused on conversational design and SaaS operations. Roles frequently listed include product managers, front-end engineers (React/JS), backend engineers (Node or Python), customer success managers, and growth marketers.

Career listings typically describe responsibilities such as building integrations, optimizing onboarding flows, improving conversion features, and helping customers implement conversational campaigns. For current openings and role descriptions, visit the company careers page linked from the vendor site or follow the firm on professional networks.

tars affiliate

Tars often runs partner programs or referral arrangements for agencies and consultants that implement conversational landing pages for clients. Affiliate or partner programs provide commission or referral credits for qualifying customer sign-ups and sometimes include co-marketing resources and technical enablement.

If you are an agency or consultant, check the partner program details on the vendor site or reach out to their partnerships team for terms, qualification thresholds, and promotional materials.

Where to find tars reviews

Independent reviews for Tars appear on software comparison sites, industry blogs, and customer testimonial pages. Look for feature comparisons and user feedback on platforms such as G2, Capterra, and TrustRadius to see user ratings on ease of use, support quality, and ROI.

For case studies and conversion metrics, consult the vendor's customer stories and published benchmarks, then cross-reference with independent review sites to validate claims and read real customer experiences.