What does google ads management actually cost for Kanpur? +
ATIL charges a flat monthly retainer plus a small performance share tied to revenue (not ad spend). For brands in Kanpur, retainers typically start at ₹40,000/month for accounts under ₹5 lakh monthly spend, scaling to enterprise-tier for ₹50 lakh+ monthly spend. We publish the model on our pricing page — no opaque "percentage of ad spend" that incentivises waste.
How is ATIL different from a typical Google agency for Kanpur? +
Three differences. (1) Software handles 2,400+ daily bid adjustments — humans don't watch dashboards. (2) Weekly business reviews show revenue movement in plain English, not impressions. (3) We're built by engineers and run by marketers — the same team that ships your ads also ships the dashboards you read them on. For brands in Kanpur, this means faster iteration cycles and no agency layer between you and the work.
Can you show real Google results from brands in Kanpur? +
Yes — Carloginn (Bangalore, car accessories D2C) delivered ₹5.77 Cr revenue on Meta at 4.78× ROAS over 12 months. Casatrance (Bangalore, real estate) generated 12,554 inquiries at ₹147 blended CPI. Both accounts are live and the data is verifiable in our case studies. We can show similar results for brands in Kanpur.
How fast can ATIL get a new Google account live for Kanpur? +
Standard onboarding is 7 working days from contract signing: day 1-2 access provisioning + audit, day 3-4 campaign structure rebuild, day 5-6 creative pipeline, day 7 go-live with weekly review cadence locked. For brands in Kanpur, expedited 72-hour onboarding is available for accounts launching seasonal campaigns (Diwali, Republic Day Sale, etc.).
Does ATIL also run other channels alongside Google Ads for Kanpur? +
Yes. Our five services — Meta Ads, WhatsApp Advertising, Social Media, Website Development, E-commerce Marketing — are designed to work together. Most brands in Kanpur run at least two channels in parallel. We optimise blended outcomes across them, not channel-level vanity metrics.
We're in leather in Kanpur — what changes about Google? +
Returns and size-variation data decide profitability here, not click volume. A parent-child catalogue that fragments its own data teaches the algorithm nothing, and a 30% return rate quietly erases a 4x ROAS. Shopping feeds with weak attributes lose the auction before bidding matters. How we run it: Feed-first work — size, colour, material, GTIN completeness — then Performance Max asset groups split by margin tier. The number we hold ourselves to is feed coverage %, then ROAS by asset group.
We're in industrial in Kanpur — what changes about Google? +
Long sales cycles, technical buyers, and a purchase that ends in a quotation rather than a checkout. Optimising to form-fills without lead grading buys volume that sales cannot use. High-intent technical search is where this category actually converts. How we run it: Exact-match spec and part-number coverage, with negative lists that strip DIY and consumer intent. The number we hold ourselves to is cost per sales-qualified enquiry.