Summary
Drift retires on 31 January 2027 after Salesloft acquired it, with data deleted on 1 May 2027, leaving its customers scrambling for a replacement.
Before your Drift data disappears, you must export key assets like conversation logs and routing rules; Drift’s logs require using their API for a full export.
Evaluate alternatives against a 7-point checklist, including AI that truly resolves issues, live agent handover, and reliable CRM sync.
Wonderchat answers the repeat questions your help center already covers and keeps the conversation context when it hands over to a person. That suits a small B2B team with a help center and docs, where the agent answers only from those pages and says when it can’t find the answer.
Drift is shutting down. Salesloft acquired it in early 2024, and the standalone product retires on 31 January 2027, leaving its customers without their sales chatbot.
If you were one of them, you know the frustrations that were already building before the shutdown: noisy default triggers that fired on your blog the same way they fired on your pricing page. Black-box lead scoring that got ignored because you couldn’t see the raw signals behind it, pages hit, source, past chats. And the dealbreaker most people don’t talk about: a rep who has to dig for context after the chat has already lost the deal.
Now, with the clock ticking on your Drift data access, you need to move fast, but not recklessly. This guide isn’t another list of chat tools with screenshots. It’s a three-act framework built specifically for displaced Drift users who need to migrate without losing what they built:
Secure Your Assets, What to export from Drift before your data disappears
Define Your Needs, A 7-point feature parity checklist for evaluating replacements
Make Your Choice, A comparison of the top drift chatbot alternatives
Let’s get into it.
Act 1: The Pre-Migration Checklist, Secure Your Drift Assets Before They Disappear
Before you evaluate a single alternative, protect the data you’ve accumulated. Your Drift account may still contain institutional knowledge that took months to build, but access won’t last forever. Here’s what to prioritize:
The Three Assets You Must Export
1. Conversation Logs: This is your most valuable asset. Conversation history feeds AI training, satisfies compliance requirements, and gives returning customers the context they deserve. Don’t lose it.
2. Routing Rules: Your routing logic, the rules that get a high-intent lead to the right rep quickly, represents real RevOps time. Document every condition, threshold, and assignment rule before you close your account.
3. Meeting Flows & Playbooks: Any scheduling automation, booking sequences, or engagement playbooks should be documented in detail. You’ll need to rebuild these in your new tool, and having the original logic on hand cuts that time significantly.
How to Actually Export Conversation Logs From Drift
Here’s where most guides stop. They tell you what to export, not how. The hard truth: Drift does not offer a bulk export button for conversation data. The process requires their API. Here’s how to do it:
Step 1: Gather Conversation IDs
You have two options:
Option A (Preferred, Real-Time): Use the
Conversation_Pushwebhook. This fires every time a conversation closes and hands you the conversation ID immediately. It’s Drift’s recommended approach for capturing data at scale.Option B (Historical): Use the Conversation List endpoint to retrieve IDs for past conversations. Functional, but slower and less reliable for large archives.
Step 2: Pull the Full Conversation Data
With your IDs in hand, hit these endpoints for each conversation:
Conversations endpoint, metadata, participants, tags
Transcript endpoint, full chat transcript
Messages endpoint, individual messages if you need granular control
Attachments endpoint, any files shared during the conversation
Step 3: Translate Backend IDs
The API returns numerical IDs for playbooks and users, not human-readable names. Run those IDs through the Playbook and User APIs to get labels your team can actually work with.
It’s a technical lift, but it’s the only reliable way to get a complete audit trail out of Drift. If your team doesn’t have engineering resources, prioritize your most recent 90 days of conversation data first, that’s where the highest-value context lives. Act now, Salesloft has not committed to keeping Drift’s API endpoints available indefinitely.
Act 2: The Feature Parity Audit, A 7-Point Checklist for Your Next Chatbot
Once your data is safe, the evaluation begins. Most buyers make the mistake of shopping for features they’ve heard of rather than capabilities they actually relied on. Here are the seven things Drift users depended on most, and what to look for in a replacement.
✅ 1. AI Chat That Actually Resolves (Not Just Responds)
Drift’s AI was always secondary, and routing was the product.” But that’s changing. Your next tool should have AI that’s been trained on your actual knowledge base: technical docs, product catalogs, policy manuals. The standard to aim for: a majority of inbound queries resolved without a person, rather than users sent to a static FAQ page.
What to look for in a drift chatbot alternative: Can it ingest complex, multi-format documentation? Does it cite sources in its answers? Does it get smarter as your content changes?
Wonderchat handles large libraries of technical documentation and delivers precise, source-attributed answers, guiding users to the right resource or next action. Wonderchat resolves about 75% of evaluated conversations without a person, and Jortt, a Dutch accounting platform, resolves about 92% of roughly 30,000 monthly inquiries without a person.
✅ 2. Live Agent Handover, With Full Context
What actually made Drift useful was speed to human.” Someone on your pricing page got a conversation straight away instead of filling in a form and waiting two days for an SDR to maybe email.
That speed matters. But for any complex website, whether for sales, support, or product discovery, speed without context is just a faster way to get lost. The clean handoff is one of many critical routes. It ensures that when a user needs a person, the transcript and the conversation land in the right person’s hands automatically.
What to look for: Native live chat built into the platform (not a separate product), escalation when the AI can’t answer, and smart routing to the right department, not random assignment.
Wonderchat hands over to a person with the whole conversation, and live chat (a teammate takes over in real time) is built into the same product on every plan, with no middleware. Teammates take over in the same interface with the whole conversation in front of them.
✅ 3. CRM Sync That Doesn’t Create Data Silos
A chatbot disconnected from your CRM is just a fancy contact form. You need the full picture, transcript, pages visited, UTM parameters, lead score, landing in HubSpot, Salesforce, or Zendesk automatically. Without it, your rep is digging for context post-chat. And as established above: if they’re digging, you’ve already lost the deal.
What to look for: Native integrations with your specific CRM stack, not just a Zapier workaround. Confirm the data that flows through: does it include conversation history, not just email address?
Wonderchat syncs contacts with HubSpot, hands over into Zendesk or Freshdesk if you keep them, and connects to other tools through Zapier. On Scale, Wonderchat also connects to Eloqua and Marketo for automated routing of captured leads.
✅ 4. Meeting Booking Without Leaving the Conversation
Forcing a visitor to leave the chat to book a calendar slot adds friction and creates drop-off. Your next tool should let users book demos, calls, or consultations without a context switch.
What to look for: Native Calendly integration or equivalent, triggered at the right moment in the conversation flow, not just bolted on at the end.
Wonderchat shares your Calendly booking link inside the conversation, so a visitor can pick a time without starting over.
✅ 5. Intelligent Routing That Doesn’t Need a Full-Time RevOps Person
Drift’s routing is powerful, and the rules take real RevOps time to build and maintain.” Your new tool should make routing powerful without making it painful.
What to look for: Conditional logic based on actual conversation content (not just form fields), department-based routing, and triggers you can audit without a developer.
Wonderchat routes captured leads to the right person or CRM, and hands conversations over to a person with the whole transcript.
✅ 6. Analytics That Reveal Knowledge Gaps (Not Just Vanity Metrics)
Click-through rates and chat-open counts tell you what happened. What you actually need to know is why your AI failed, and what content to fix. The best analytics function like a content quality sensor: they surface gaps in your knowledge base, highlight the questions your AI couldn’t answer, and show you exactly where customers are dropping off.
What to look for: Question-level analytics and knowledge gap reports. Bonus if it feeds directly into your content team’s workflow.
Wonderchat’s review inbox is built around this use case: it collects the questions your content couldn’t answer. Keytrade Bank uses it as a “content quality sensor”, the AI’s failures become a direct signal for which policies and help docs need updating.
✅ 7. Multi-Channel Support, Train Once, Deploy Everywhere
Your customers aren’t just on your website. They’re on WhatsApp, Slack, Instagram, and LinkedIn. Your chatbot infrastructure should match that reality, without requiring you to rebuild your knowledge base for each channel.
What to look for: Channels as deployment endpoints, not separate products. The same AI, the same knowledge, reachable wherever your customers are.
Wonderchat covers website chat, WhatsApp, SMS, voice, Slack, Discord, Microsoft Teams, email and more, with Slack and WhatsApp from Starter and Microsoft Teams and voice from Basic. Channels are deployment endpoints, not separate products you pay for individually.
Act 3: The Comparison, the Top Drift Chatbot Alternatives
Using the 7-point checklist above, here’s how the most commonly shortlisted drift chatbot alternatives compare.
How They Compare in Practice
Wonderchat, Best for Answers From Your Own Content
Wonderchat suits teams whose website, docs and help center already hold the answers, a problem tools like Drift only address for a single use case (sales). It answers only from your own content. It answers the question, points to the page the answer came from, and offers a person when no page covers it. It combines AI answers with human handover in a single product.
It suits teams that wanted Drift’s results without Drift’s complexity. Wonderchat resolves about 75% of evaluated conversations without a person, and when a lead needs a person, the handover carries the whole conversation. Wonderchat’s review inbox turns questions it couldn’t answer into content improvement signals. Paid plans are there when you need more AI replies, with a free plan that refills 50 AI replies every month, and Enterprise is custom.
Fin (formerly Intercom), Best for Teams in Its Ecosystem
Fin, formerly Intercom, is a direct Drift competitor in positioning, and its CRM sync is strong. But its AI agent is priced separately per resolution, which adds cost. Live agent handover is strong but layered on top of what is fundamentally a ticketing product. If your team already lives in Fin’s ecosystem and your primary need is CRM fidelity, it’s a reasonable choice. If you’re starting fresh, the cost-benefit calculation is harder to justify.
HubSpot Chat, Best for HubSpot-Native Teams
If your entire GTM stack runs on HubSpot, the chat tool is a logical extension, and the CRM sync is unmatched because it is the CRM. But its AI capabilities are narrower than a dedicated agent’s, and meeting booking works best within the HubSpot calendar ecosystem. For teams who aren’t already bought into HubSpot, this tool creates more lock-in than it solves.
Tidio, Best for E-Commerce on a Budget
Tidio punches above its weight for Shopify-focused e-commerce teams. It handles basic AI, has decent live chat, and the pricing is accessible. But complex routing logic and advanced analytics are limited. If your needs are relatively simple (product questions, order status, basic escalation), Tidio is a cost-effective starting point. If you have complex documentation or need reliable lead routing, you’ll outgrow it quickly.
Chatbase, Best for Simple FAQ Use Cases
Chatbase is popular in the AI-chatbot builder space and handles AI well. But it is focused on AI answers, and live agent handover, meeting booking, and lead routing are not its strength. It risks frustrating high-intent leads who need to speak with a human, leading to conversation abandonment at exactly the wrong moment. Best suited for simple FAQ use cases where no human escalation is expected.
From Replacement to Upgrade
Switching from Drift isn’t just a tooling decision, it’s a chance to fix the fundamental problems that were always there: intrusive triggers, opaque routing, and context that disappears the moment a conversation ends.
The right replacement doesn’t just replicate what Drift did for sales; it answers questions from your own content across your whole website. It answers from your own content, shows the source, and hands the visitor to a person or your booking link when the question is a sales conversation.
Wonderchat does this in one product, with no middleware and no per-seat cost on any plan. The free plan refills 50 AI replies every month, and paid plans are there when you need more. (Broker’s Bible hit positive ROI in three months. Jortt’s AI resolves 92% of 30,000 monthly inquiries.)
Deploy your Wonderchat replacement the same day →
Frequently Asked Questions
What is the best alternative to Drift?
Wonderchat suits teams that want answers from their own content, leads routed to the right person, and a handover with the whole conversation; Fin and HubSpot Chat suit teams already inside their ecosystems. It combines AI answers with live agent handover in a single product. Wonderchat answers from your own content and passes leads and conversations to the right person, covering sales and support questions in one product.
Why do I need to switch from Drift?
Drift retires on 31 January 2027 after Salesloft acquired it, and its data is deleted on 1 May 2027. Even before the shutdown, Drift’s routing rules and chat triggers took real effort to set up and maintain. With the retirement date set, switching now has a deadline. The priority is finding a replacement that solves those original pain points while preserving your conversation data and workflow logic.
How do I migrate my data out of Drift?
To migrate your data, you must export your key assets, including conversation logs, routing rules, and playbooks. Drift does not offer a one-click bulk export for conversation data, so you will need to use their API. This involves gathering conversation IDs via webhooks or API endpoints, pulling the full transcript and metadata for each conversation, and then translating numerical IDs for users and playbooks into human-readable names.
What key features should I look for in a Drift alternative?
When evaluating a Drift alternative, you should look for seven key capabilities. These include: AI that can resolve user queries without a person (not just respond), a live agent handover process with full context, reliable CRM sync, in-conversation meeting booking, intelligent routing that isn’t overly complex, analytics that reveal knowledge gaps, and multi-channel support to deploy your chatbot everywhere from a single knowledge base.
How does Wonderchat compare to Fin, formerly Intercom?
Wonderchat is a single product with AI answers and live chat on every plan. Fin, formerly Intercom, has the deeper ecosystem and strong CRM integration, but its AI agent is priced separately per resolution, so the bill is harder to predict. For teams that want published plan prices and an agent that shows its source, Wonderchat is the better fit; if your team already lives in Fin’s ecosystem, Fin is the better choice.
Can an AI chatbot handle both sales and support?
Yes, Wonderchat has an AI Customer Service Agent and an AI Sales Agent, so one setup can answer both sales and support questions. By training on your entire knowledge base (including product docs, marketing materials, and support articles), it can act as a single intelligent entry point for all visitors. It resolves a majority of support inquiries without a person, while asking the qualifying questions you set and routing high-intent sales leads to the right person with full context.
