Instagram reached 3 billion monthly active users in September 2025, according to Meta CEO Mark Zuckerberg.1 The platform generated $37.2 billion in social commerce revenue in 2024, and 44% of active users shop weekly using Shopping Tags and the Shop tab.2
U.S. social commerce sales are projected to surpass $100 billion in 2026, up from $87 billion in 2025. Instagram accounts for a significant portion of this growth; over one-third of U.S. Instagram users are expected to make purchases on the platform in 2026.3
- Comments monitoring: Automatically track and respond to user comments.
- Reels monitoring: Trigger automations when users comment on or tag you in Reels.
- Payment buttons: Universal payment gateways like PayPal or Stripe (not Shopify-specific integrations).
- Upselling and cross-selling: Suggest complementary or alternative products to boost average order value.
- Meta partnership: Meta-certified vendors follow Meta’s QA standards, get priority API access, leverage Meta’s technical support, and comply with data protection frameworks.
What can Instagram chatbots do?
Chatbots automate 70-85% of routine queries. Response times drop from hours to seconds.
Figure 3: Instagram chatbots can automate DM replies.4
24/7 availability covers global time zones without night shift staff.
In-chat browsing keeps users in-app, preventing them from leaving the app for website navigation.
Human handoff for complex issues requiring judgment.
Figure 4: Instagram chatbots can respond according to emoji reactions.5
Allow users to place and pay for their orders through DMs.
Figure 5: Instagram chatbots can let users place and pay for their orders without leaving the app.
Automated actions:
- Emoji reactions on Stories: automated reply
- Product questions in comments: instant answer
- Cart abandonment: reminder with a discount
- Order status checks: tracking info
- Size/fit questions: database lookup
How to create Instagram chatbots?
Building your own chatbot is complex and expensive. Most businesses use chatbot vendors instead.
Using a chatbot provider
- Create an Instagram business account or switch your personal account to a business account.
- Link it with a Facebook fan page. If you don’t have one, you must create one. (Facebook’s involvement is because Instagram uses Facebook Messenger’s API)
- Link your chatbot platform to your Instagram account
- Customize the chatbot for your use case.
- Track your chatbot and assess its performance to improve further. Important Performance Indicators (KPIs) to consider when monitoring chatbot performance are:
- Average response time
- Query resolution rate
- Conversion rate from chat interactions
- Customer satisfaction scores (CSAT)
Each chatbot provider has a different GUI. So, read/watch documentation/tutorials. But typically, a low-code configuration looks as follows:
- Suppose you want to integrate Stripe’s payment gateway into Direct Messages, enabling customers to place and pay for their orders in the chat.
- Go to “Integrations” on your developer’s dashboard. Search “Stripe.” Connect it to your account.
- Add the product’s info, image, and price to its card.
- Your chatbot now allows users to finalize purchases on Instagram DM.
Measuring the success of your Instagram chatbot
Quantitative metrics
- Response accuracy: The percentage of queries resolved without the need for human support.
- Engagement rate: The number of users interacting for every 1,000 followers.
- Conversion rate: The ratio of conversions that result in a sale or a lead.
Qualitative feedback
Gather user satisfaction insights through brief surveys integrated into chats, guiding ongoing improvements.
What are the benefits/use cases of Instagram chatbots?
1. Enhanced product showcasing
Instagram chatbots can dynamically showcase products, via carousel features or links to Posts, Reels, Videos, and Stories
2. Story interactions
Stories are one of the most used features of Instagram:
- +500M Instagrammers use Stories daily6
- 70% of Instagrammers watch Stories daily
- 49% of Gen Z use Stories to find products/services
- 1 in 3 Instagrammers are more interested in a story-showcased product7
Using a chatbot in an Instagram marketing campaign can interact with users to increase conversion rates by:
- Responding to product inquiries
- Giving discount codes
- Setting reminders (if the Story is promoting an event)
- Soliciting feedback (if the Story is highlighting a product)
- Facilitating chatting with users during story interactions, which can enhance customer engagement and support targeted ad campaigns
3. End-to-end shopping
Instagram has native shopping features, like Shopping Tags and Checkout. Instagram chatbots can guide the user through the buying process in the app, resulting in lower exit rates.
4. Providing product information
After seeing a product on Instagram, 79%8 of users try to find more information about it. Some in-app methods of finding information are:
- Reading other users’ comments
- Posting a comment
- Direct Messaging the brand
- Looking at images
Chatbots can monitor these engagement points and automatically answer product questions in comments and DMs. This lets users find information instantly in the app, instead of on search engines.
5. Hyper-targeted messaging
Using Instagram’s analytics and insights, chatbots can compile user data on behavior and past brand interactions to deliver focused messages, including exclusive deals and personalized recommendations.
6. Influencer collaboration
6.1. The scope of influencer marketing on Instagram
- On average, ~30% of users make an “influenced-by-influencers” purchase9
- 53% of Gen Z had made an “influenced-by-influencers” purchase10
- 51% of users’ purchases were influenced by social media advertising11
- By 2025, Instagram’s influencer marketing size will be $22.2B12
6.2. Using chatbots for influencer collaborations
Companies can use an Instagram chatbot to benefit from Influencer marketing by:
- Sending a personalized message to users who tag the product in their Posts or Stories.
- Collecting analytics of an influencer’s post, like engagement, click-through, and conversion rates, to measure the ROI of the collaboration campaign.
- When successful posts/Stories are identified, delve into specifics like:
- Filters used in the Stories or images
- Timing of the posts or Stories
- Duration of Stories
- Presence or absence of closed captions
- When successful posts/Stories are identified, delve into specifics like:
- Answering queries instantly and consistently. This is most important, especially when collaborating with a popular influencer driving high traffic to your account.
- Distributing automated follow-up messages, discount codes, or special offers to users redirected from an influencer’s Call-to-Action (CTA) stickers and affiliate links.
7. Quick DM replies
Rule-based Instagram chatbots can quickly resolve common queries on DMs. Advanced AI algorithms can provide personalized answers to more complex customer service or sales questions.
For example, a user gives their body measurements and asks what size would fit them. The chatbot accesses its database and replies, “In the past, customers with similar body measurements bought X or Y size.”
8. Shopping cart abandonment recovery
An Instagram chatbot can send an automated reminder or discount code to incentivize users who’ve abandoned their cart.
What are some tips for optimizing an Instagram chatbot?
Program the chatbot to integrate with the following Instagram features:
1. Instagram stories
Use Stories to promote the chatbot and its functionalities. Direct people to engage with the chatbot through swipe-up links to CTA link stickers
2. Instagram Insights
Use Instagram’s native analytics tools to monitor how users interact with the chatbot via DMs and adjust your strategies accordingly.
3. IGTV, Reels, and Lives
For more engaging product exhibitions, let the chatbot direct users to IGTV and Reels.
If you have planned Live sessions, have the chatbot send reminders to users to join ahead of time.
4. Quick and Saved Replies
Use the Quick and Saved Replies feature in your chatbot’s script to allow users to select from pre-set responses for basic, repetitive queries.
5. Hashtags
Use the chatbot to manage hashtag promotions. It can tell users to share photos/Stories of a product with its specific hashtag. Or if someone wants to explore a t-shirt’s styling options, for example, it can give its hashtag from previous campaigns, so they can search.
6. Comments
Use the chatbot to reply to/like comments to enhance engagement, answer questions, and increase exposure in followers’ feeds.
7. Shopping feature
Use Instagram’s shopping feature and the chatbot’s payment gateway integration to enable users to place and pay for orders in the chat.
8. Post tags and Story mentions
When your product or brand is tagged on Posts or mentioned in Stories, program the chatbot to respond/engage appropriately.
9. Carousel and collection posts
Program the chatbot to handle Instagram’s carousel and collection post formats when sharing multiple images or product listings.
10. Spam-free guidelines
Follow Instagram’s guidelines13 to ensure your bot doesn’t spam. You can program the bot to only answer/send a certain number of comments/DMs each hour, or not use the exact wording for all its answers.
11. Images, files, & emojis
Given Instagram’s young user base, program the chatbot to converse via a combination of images, files, emojis, and GIFs.14
Instagram Chatbot vs Bot
Chatbot: Automates conversations within platform policy. Human-like responses.
Bot: Auto-likes, auto-follows, auto-comments, mass-DMs. Many violate policy, get suspended.
When It Works
Use a chatbot when:
- 50+ DMs daily
- Repetitive questions (size, shipping, returns)
- Need 24/7 without night staff
- Visual products (fashion, beauty, home, food)
Skip when:
- Complex consultation needed (B2B software, custom services)
- Every conversation unique
- Under 20 DMs daily
- Products require expert knowledge
80/20 rule: Chatbots handle 80% routine, humans take 20% requiring expertise/empathy.
ROI threshold: If spending 10+ hours/week on Instagram DMs, the chatbot pays off. Under 5 hours/week, probably not worth setup.
Platform choice:
- Starting: Manychat ($15/month)
- Mid-size: SendPulse or Tidio (feature/cost balance)
- Enterprise: Freshchat or Intercom (advanced features)
FAQs
Further reading
Reference Links
Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.
Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.
He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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