Tim Hirata
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B2B ยท ABM, pricing and enterprise accounts

ABM and enterprise wins: Uber, Uber Eats and KPMG

5-yearUber and Uber Eats contract, won by RFP
My roleUber: led the pitch and onboarding, solo in the room. KPMG: marketing lead, working with the sales team.
TeamUber: solo in the meetings, with a virtual support team. KPMG: me and the Gifts for Good sales team.
Budget and timelineThe Uber sales cycle ran a couple of months, from first meeting to signature.

The problem

Uber: Teqtivity, a SaaS company selling IT asset-management software, needed enterprise accounts. The pitch went to Uber, Uber Eats and Intuit. KPMG: Gifts for Good, a B Corp gifting company, needed a large corporate customer and a way to show it could serve one. KPMG started as a warm lead.

What I did

  • Uber and Uber Eats: learning a deep product. TeQtivity is enterprise asset-management software that tracks every device from the day it is created to the day it leaves, with rules built in (an asset cannot sit with a person and a location at once, and cannot hide in an inactive location). I learned it end to end, then built the pitch decks, video and demos, and presented several times at Uber's headquarters.
  • The live demo, in Uber's language. I built it as eight scenarios from Uber's own day: creating new assets, advanced search, onboarding a new hire and assigning equipment, linking a phone to its phone number, moving an asset between locations, offboarding someone who is leaving, transferring accessories between sites, and a finance variance scan.
  • Mobile-centric features. A phone number is tracked as an asset, a laptop is linked to its hard drive as parent and child, and mobile management can be role-based for a telecom team.
  • Finance and operations. A purchase-indicator formula that shows how many accessories to reorder from weekly demand, lead time and stock on hand (for example, a six-week supply of mice worked out to 15 to order). Six demo reports: variance, assets created, depreciation (20% a year over four years), linked devices, department spending with chargebacks, and damage trends.
  • Enterprise readiness. Integrations with single sign-on, AirWatch and Coupa, a separate cloud instance for each customer, a dev, test and production path, and an implementation estimate of three months at most. I mapped the RFP's eight pillars (control, auditing, flexibility, usability, finance, integration, scalability, security) to proof the buyer could see. We won a 5-year contract, and I led onboarding.
  • KPMG, before the contract. I worked with the sales team on the sales and pitch decks that showed why Gifts for Good was the right corporate gifting company.
  • KPMG, after the contract. I built the whole employee experience: custom landing pages, curated products, the product shot list that filled the store, the UI and UX, social and email campaigns built with KPMG, a post, report and case study on the site, and testimonials from KPMG employees about the gifts and the giving back. Employees chose their own gift for that campaign.
  • Gifts for Good overall. I started the marketing team as Director of Marketing, vetted 12+ agencies and signed one, hired the team, set up GA4 and Performance Max, closed the HubSpot to Shopify sync, launched the Pinterest program, and built 104 bundle pages.

The result

KPMG's 2023 holiday gifts, in impactGifts for Good corporate gifting, counts by type of impact
KPMG's 2023 holiday gifts, in impactGifts for Good corporate gifting, counts by type of impactMealsfor children in need13,713Treesplanted1,951Clean waterpeople, one year984Vitaminsmoms, prenatal810Ridesto cancer treatment756Supplieschildren, school year103
View as a table
ItemValueNote
Meals13,713for children in need
Trees1,951planted
Clean water984people, one year
Vitamins810moms, prenatal
Rides756to cancer treatment
Supplies103children, school year

Source: Public 2023 KPMG impact report. Units differ by bar. Program results, not marketing-sourced.

Return on Google ad spendGifts for Good, ROAS by month
Return on Google ad spendGifts for Good, ROAS by monthFeb 2022about, from the % change2.1Jan 2023about, from the % change3.3Feb 2023from the report5.02
View as a table
ItemValueNote
Feb 20222.1about, from the % change
Jan 20233.3about, from the % change
Feb 20235.02from the report

Source: Agency monthly PPC report, February 2023. Earlier months are derived from its change percentages.

5-year
Uber and Uber Eats contract, won by RFP
5.02
return on Google ad spend in February 2023, up 52% on the prior period and 139% on the prior year: $13,732 in conversion value on $2,734 of ad cost

How this was measured: from the agency's monthly report. Cost per conversion was $25.31 and the conversion rate 3.09%.

What I am not claiming. The Uber RFP was a team effort at the start-up, and the KPMG deal was closed by the Gifts for Good sales team. I led the marketing side of both. Inbound leads were slow at the time, so I do not claim marketing-sourced pipeline. One Performance Max gift-card campaign showed 4,233% ROI, but on only seven conversions, so I do not quote it.

How I got there

At Uber I learned the product and rebuilt the demo in Uber's language. At KPMG I started from the pitch deck, then carried the same story through the store, the campaigns and the case study.

Stack and workflow

HubSpot synced with Shopify, GA4, Klaviyo for email, Google Ads with Performance Max, Pinterest. The Uber pitch stack was not recorded.

What I learned

The biggest lesson, especially from Gifts for Good and KPMG, was to build exactly what the buyer needs, and to build it fast. We made a personalized landing page, service and products around the campaign KPMG wanted for the holidays. How quickly we got it live, and how fast the whole team moved to make it happen, is what let us succeed.

It was the same at Uber: enterprise buyers buy proof that their own workflow works. I learned the software, then rebuilt every demo scenario in the buyer's language, so they saw their team in it, not our feature list.

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