AI-Driven Marketing Automation
Budget: ₹1,500 – ₹12,500 INR
I need a small, well-orchestrated team of autonomous AI agents that can take charge of three core areas of my business: running full marketing campaigns, following up every new lead until they answer, and preparing or emailing quotations on the spot.
Here is the flow I have in mind. An agent creates fresh content—blog articles, social posts, and email newsletters—then hands it to another agent that schedules or publishes across the right channels and manages the ad spend, audience segmentation, and A/B testing. As soon as a prospect engages, a follow-up agent picks up the thread, pulling data from my HubSpot CRM, drafting personalised replies, and nudging the prospect on a preset cadence. When a hot lead asks for pricing, the quotation agent fills out our predefined templates, merges the correct pricing tiers, and emails the document automatically, logging every interaction back into the CRM.
You will design, build, and integrate this stack using whichever mix of GPT-4 (or comparable LLMs), LangChain, Zapier/Make, HubSpot and ad-platform APIs you deem most efficient. I just want everything to run smoothly in the background while I focus on strategy.
Deliverables
• A fully deployed agent workflow covering content creation, ad management, lead follow-up, and quotation generation
• Seamless integration with HubSpot CRM, our email service, and major ad platforms
• Clear documentation plus a Loom video walkthrough so my team can monitor or tweak the system without you
Acceptance criteria
• New blog post, social post, and email newsletter produced and queued with one command
• Ad campaigns launch with correct targeting and daily budget caps, then self-optimise on performance data
• Leads receive the first personalised follow-up within five minutes of capture and enter a drip sequence until response
• Quotations auto-populate with 100 % accurate pricing and send within two minutes of request, with CRM log verified
If you have already connected similar agent chains, I’d love to see them in action.
Here is the flow I have in mind. An agent creates fresh content—blog articles, social posts, and email newsletters—then hands it to another agent that schedules or publishes across the right channels and manages the ad spend, audience segmentation, and A/B testing. As soon as a prospect engages, a follow-up agent picks up the thread, pulling data from my HubSpot CRM, drafting personalised replies, and nudging the prospect on a preset cadence. When a hot lead asks for pricing, the quotation agent fills out our predefined templates, merges the correct pricing tiers, and emails the document automatically, logging every interaction back into the CRM.
You will design, build, and integrate this stack using whichever mix of GPT-4 (or comparable LLMs), LangChain, Zapier/Make, HubSpot and ad-platform APIs you deem most efficient. I just want everything to run smoothly in the background while I focus on strategy.
Deliverables
• A fully deployed agent workflow covering content creation, ad management, lead follow-up, and quotation generation
• Seamless integration with HubSpot CRM, our email service, and major ad platforms
• Clear documentation plus a Loom video walkthrough so my team can monitor or tweak the system without you
Acceptance criteria
• New blog post, social post, and email newsletter produced and queued with one command
• Ad campaigns launch with correct targeting and daily budget caps, then self-optimise on performance data
• Leads receive the first personalised follow-up within five minutes of capture and enter a drip sequence until response
• Quotations auto-populate with 100 % accurate pricing and send within two minutes of request, with CRM log verified
If you have already connected similar agent chains, I’d love to see them in action.