How to Set Up a Martech Stack for Telegram-First Lead Generation in CIS Markets

You've got budget approved for CIS market expansion. Your usual stack — LinkedIn Sales Navigator, Apollo, a cold email sequencer — pulls almost nothing. No bounce, no replies, just silence. That's because the decision-makers you're trying to reach aren't on LinkedIn. They're on Telegram, and your martech stack was never built for that.

There's no single professional network like LinkedIn across Russia and the CIS. Business data lives in scattered places: government registries, Telegram groups, company websites, local directories. If your stack can't stitch those sources together, you're flying blind in a market where Telegram is often the primary business communication channel, not a side channel.

What tools do you actually need for Telegram-first lead gen in CIS markets?

At minimum, you need four layers: a business registry data source, a contact-lookup tool that resolves phone numbers to Telegram usernames, a CRM that treats Telegram as a native channel (not a bolt-on integration), and an outreach automation layer for sequencing. Most teams trying to do this with a LinkedIn-era stack end up needing 3-4 separate tools duct-taped together with Zapier — this guide shows you the leaner version.

The core workflow looks like this: pull companies filtered by industry code and revenue from a registry provider → find the founder and their phone number → convert that phone number into a Telegram username → load it into a CRM built for Telegram outreach → run sequenced, personalized campaigns. Every layer matters — skip one and the chain breaks.

Layer 1: Where do you get verified company and founder data in CIS markets?

Start with a business-registry provider like DataNewton, which lets you filter companies by OKVED industry code and revenue band. This is the equivalent of a firmographic filter in Apollo or ZoomInfo, except it's pulling from actual government registry data rather than scraped LinkedIn profiles — which matters a lot in a market where LinkedIn penetration is thin.

Get an API key from DataNewton's documentation. You'll use this to programmatically pull filtered company lists instead of manually exporting CSVs one search at a time.

Layer 2: How do you turn a company name into a working Telegram contact?

This is the step most stacks are missing entirely, and it's the one that actually makes CIS lead gen work. You need to go from "company X, founder unknown" to "a Telegram username you can message today."

CRMChat includes a contact-lookup bot (@crmchatcontactbot) that finds a company founder's phone number, and a built-in Phone → Telegram converter under Instruments → Phone → Telegram that turns that number into a usable Telegram username. That combination — phone lookup plus phone-to-username conversion — is the bridge most martech stacks don't have, because it was built for markets outside the LinkedIn-first world.

Here's the orchestration pattern that makes this scale instead of being a manual slog per lead:

• Get an API key for DataNewton. From their API documentation — this feeds your company list.

• Get your CRMChat API key. Found under Settings → API Keys in your CRMChat dashboard.

• Connect an AI assistant (Claude or ChatGPT) to both via API. It acts as the orchestrator running the lookup sequence for you.

• Instruct the AI to pull companies from DataNewton filtered by industry and revenue. This is your target list.

• Have it run each company through CRMChat's contact-lookup bot to find the founder's phone number.

• Convert each phone number into a Telegram username using CRMChat's Instruments → Phone → Telegram tool.

• Normalize the output into a clean CSV — username, first name, company — ready to load into your outreach sequence.

This whole workflow is documented in detail with a ready-to-use AI prompt template in our guide on how to qualify SaaS founders as decision makers before Telegram outreach. For payment and banking verticals specifically, pair it with identifying the right decision maker for payment infrastructure deals at a CIS bank and verifying a company's HR budget from public registry data to prioritize which leads are worth the outreach effort first.

Layer 3: Group parsing as a secondary source — when do you use it?

Decision-maker lookup through registry data is the sharpest, most targeted method because you're going straight after verified founders and executives. But it doesn't cover everyone — some prospects won't show up in a registry filter, especially at earlier-stage companies.

That's where parsing public Telegram groups and communities fills the gap. CRMChat can extract active members from industry-specific Telegram communities — SaaS, fintech, e-commerce, and more — giving you a broader pool to supplement your decision-maker list. Treat this as volume-building, not precision-targeting; use it after you've exhausted the direct lookup method, not instead of it. For details on prospect database hygiene once you've parsed a group, see how to build a list of SaaS decision makers from Telegram communities.

Layer 4: How does your CRM need to be structured for Telegram-first outreach?

A regular CRM with a Telegram plugin bolted on will fight you at every step — contact sync lag, message limits you don't control, no native sequencing. You want Telegram to be the primary channel the CRM is built around, not an afterthought integration.

Once your CSV of verified Telegram usernames is ready, load it into a CRM that treats Telegram contacts as first-class CRM leads. Inside CRMChat, you can then build Dynamic Sequences that automate follow-up messaging based on lead stage or custom properties — for example, a lead that moves to "Qualified" and is tagged "Fintech" automatically enters a tailored outreach sequence, while a lead tagged "Industrial" enters a different one. You set this up under Outreach → Sequences → New Sequence → CRM Leads, filtering by one or more custom properties.

If you're running campaigns for multiple clients or business units, keep each one in its own workspace with dedicated Telegram accounts — our guide on setting up separate Telegram accounts for each client campaign covers the isolation setup in detail.

Layer 5: How do you avoid getting your Telegram accounts banned mid-campaign?

Here's the part that trips up teams moving fast: Telegram accounts that suddenly start messaging hundreds of cold contacts per day get flagged and restricted. A brand-new account blasting outreach on day one is the single fastest way to lose access to the channel you just built your whole stack around.

New and recently active accounts need a warm-up period — gradually increasing message volume and natural activity patterns before scaling to full outreach volume. CRMChat includes built-in account warm-up features that automate this process, ramping up activity safely so your accounts stay in good standing while you scale campaigns.

What does a working CIS Telegram lead gen stack deliver?

LeadBridge, a B2B growth agency operating across the US, EU, CIS, MENA, and APAC, built this kind of layered approach into their outreach engine. Across three enterprise B2B campaigns — industrial automation, AI sales infrastructure, and enterprise deal management — they generated 90 qualified SQL leads, with Telegram outreach accounting for 60-80% of all leads across their multi-channel campaigns. One campaign alone produced 14,000 enriched contacts and 60 scheduled meetings ahead of an industry exhibition.

Their finding was specific: many enterprise decision-makers in CIS markets actively use Telegram for business communication, giving direct access without the gatekeepers common in email and phone outreach. You can read the full breakdown in our case studies section.

Checklist: assembling the stack

• Sign up for DataNewton and get an API key for company/founder data filtered by OKVED code and revenue.

• Get your CRMChat API key from Settings → API Keys to connect the contact-lookup bot programmatically.

• Set up an AI orchestrator (Claude or ChatGPT) connected to both APIs using the documented prompt template.

• Run the lookup sequence to produce a CSV of founder names, phone numbers, and Telegram usernames.

• Supplement with group parsing for broader industry coverage beyond registry-listed companies.

• Load contacts into CRMChat and tag them with custom properties for stage and industry.

• Build Dynamic Sequences that auto-trigger based on lead stage or custom property.

• Warm up new Telegram accounts before ramping to full outreach volume.

Check the Help Center for step-by-step setup guides on each piece, and the CRMChat API docs if you're building the AI-orchestrated lookup workflow yourself.