Catch the WhatsApp-first Brazil GTM before you spend on ads.

Atlas’s consumer-intelligence agent reveals Brazilian B2B buyers rely heavily on warm referrals and prefer WhatsApp-based sales communication over email. The company redesigns its Brazilian GTM entirely, partner-led sales, WhatsApp integration, before spending on ads.

Run Atlas
AuthorMariete
AgentAtlas
Runtime~ 90 minutes
IndustryGTM
  1. 1

    Describe the task

    Atlas can profile how a market actually buys before you commit a channel budget. Its consumer-intelligence agent studies referral behaviour, preferred communication channels, and trust signals for your specific buyer, then tells you which go-to-market motion will land and which will quietly fail.

    The tighter your prompt, the more actionable the channel map. Tell Atlas what you sell, who the buyer is, and the GTM motion you were planning, and it will validate or challenge that plan with local evidence rather than generic country facts.

    We are entering Brazil with a B2B SaaS product and planned an email-led, ads-first launch. Before we spend: - Map how Brazilian B2B buyers actually discover and evaluate software - Rank the real sales and communication channels they prefer (email vs WhatsApp vs referral) - Assess the weight of warm referrals and partner introductions in the buying decision - Flag any channel where our current plan is likely to underperform End with a clear recommendation: keep the plan, or redesign the GTM, and if redesign, what the motion should be.

  2. 2

    Give Atlas context

    In an Atlas workspace, describe the product and the GTM motion you intend to run. Atlas tests that specific plan against how the market behaves, so the output is a verdict on your plan, not a generic market summary.

    Give Atlas your planned channels and budget assumptions. The more concretely you state what you were about to do (ads-first, email sequences, self-serve), the more precisely Atlas can tell you where that plan meets local reality.

    Required context
    A product description and the buyer you are selling to
    The GTM motion you were planning, here email-led and ads-first
    Optional context
    Your channel budget split, so Atlas can flag where spend is misdirected
    A note on languages and sales-team setup, inside sales vs partner-led
    Any existing local contacts or partners you could activate
    product-brief.mdbrazil-gtm-plan.mdbudget-split.csv
  3. 3

    What Atlas creates

    Atlas returns a channel map for your exact buyer, ranked by how much each channel actually influences the purchase. It contrasts that map against your planned motion and calls out the mismatch, here, an ads-and-email plan aimed at a market that buys on warm referrals over WhatsApp.

    From Atlas: Validated brazil-gtm-plan.md against Brazilian B2B buying behaviour for product-brief.md.

    1GTM pivot before ad spend
    WhatsAppTop preferred sales channel
    ReferralDominant discovery motion
    High-impact channels2 channels
    ChannelBuyer weightFit vs current plan
    Warm partner referralVery high, primary trust signalMissing from current plan
    WhatsApp sales commsHigh, expected for follow-upNot integrated, plan relies on email
    Low-impact channels2 channels
    ChannelBuyer weightNote
    Cold email sequencesLow, often ignored by B2B buyersCore of current plan, likely to underperform
    Paid search adsLow for considered B2B purchaseBudget better redirected to partner enablement

    "Your ads-and-email plan is aimed at a market that buys on referrals and closes over WhatsApp, redirecting that spend to partner-led sales is the higher-return move. Want me to draft a partner-led GTM and a WhatsApp comms flow?"

  4. 4

    Follow-up prompts

    Score the recommended channel mix

    Once the channel map is clear, Atlas can score the recommended go-to-market motion for Brazil, ranking partner-led, referral, and WhatsApp channels by expected fit so you know which mix to build around.

    Score the channel mix for a partner-led Brazil entry: rank referral, partner-introduction, and WhatsApp channels by expected fit for our buyer, and recommend which motion to lead with over cold email.

    Rank channels by expected return

    With the low-impact channels identified, Atlas can score each channel by expected return for your buyer, showing where paid search and cold email underperform partner-led and WhatsApp so the spend decision is evidence-backed.

    Score our Brazil launch channels (paid search, cold email, partner enablement, and WhatsApp) by expected return for our buyer, and tell me which channels the evidence says to prioritise.

    Check a second LATAM market

    Buying behaviour differs across the region. Atlas can run the same channel analysis on another market so you don’t assume Brazil’s pattern holds elsewhere.

    Run the same buyer-channel analysis for Mexico and tell me whether the referral-and-WhatsApp pattern holds or whether the GTM needs to differ from Brazil.

  5. 5

    Tips and troubleshooting

    State the plan you were about to fund

    Atlas gives a sharper verdict when it knows what you intended to do. "We were about to spend on ads and cold email" gets a direct challenge; "how do people buy in Brazil" gets a generic summary.

    Channel maps are buyer-specific

    The same country buys consumer and B2B products through different channels. Keep the buyer profile in the prompt so the map reflects your actual customer, not the national average.

    Run it before the budget is committed

    The value here is a pivot made pre-spend. Run this at the plan stage, not after a campaign underperforms, so the channel correction costs a prompt instead of a quarter of ad budget.

  6. Ready to try it yourself?

    Describe your product and the launch you were planning, and let Atlas confirm the channel will work, or redirect the spend, before the first ad runs.

    Run Atlas