Home Mobile A Rare Peek Inside The Tech Stacks Of Two Mobile Marketers

A Rare Peek Inside The Tech Stacks Of Two Mobile Marketers

SHARE:

There’s no point eating up engineering resources to build technology that can be provided out of the box, Lomit Patel, VP of growth at IMVU, said at the Mobile Growth Summit in San Francisco last week.

Although most mobile growth marketers would rather build than buy, nearly every app relies on a constellation of third-party partners to help them monetize, analyze and visualize.

The decision to partner mainly comes down to cost. Going in-house means not having to pay a vendor for a particular service, of course, but engineering man-hours aren’t free, not to mention the time and effort required to maintain the tech.

Even the most sophisticated engineers aren’t necessarily experienced enough to create their own A/B testing or marketing automation tools, Patel said.

IMVU is a web- and app-based social network where users communicate and play games using 3-D animated avatars. When Patel joined the company a little more than a year ago, one of his first tasks was to audit IMVU’s growth stack to see what worked, what needed to improve, what should stay in-house and what should be built.

When IMVU was founded in 2004 on desktop, most of its technology was built in-house. But as the product shifted to mobile, many of those tools became dated or not applicable in the new environment.

“For us to move fast and hit the growth goals we’re aiming for, the focus is more on build vs. buy in mobile,” Patel said.

IMVU uses AppsFlyer for attribution; LeanPlum for automation; Tableau for analytics; App Annie, SensorTower and the lesser-known app store ratings tracker Appbot for app store optimization (ASO); and a boatload of partners for monetization, including MoPub, Fyber, ironSource, Oath and Conversant.

But IMVU is keeping a few of its self-made tools. Its email database is so massive, for example, that it wouldn’t be cost-effective to integrate it with LeanPlum, even though LeanPlum could accommodate it.

“The list is so big that the cost of putting it in and sending from LeanPlum would impact our margins,” Patel said.

Younger companies don’t come with as much baggage, but they have many of the same requirements.

Take Poshmark, a mobile ecommerce fashion marketplace founded in 2011. Its users upload around $4 million worth of merchandise to its platform daily.

The sheer volume of its user base and app ad needs are why it makes sense for Poshmark to invest in engineering and product people to create customized tools, said Esther Hwang, the company’s growth director.

Poshmark’s growth stack is lean and mean: App Annie and StoreMaven for app store optimization; Looker for analytics; and AppsFlyer and Tune on the app-install attribution front. Poshmark also has its own in-house tools for ASO and analytics. Its automation, push and A/B testing solution is completely homegrown.

And there’s no need for a monetization tool because Poshmark doesn’t have ad inventory. It makes its revenue by taking a cut of transactions. Poshmark also raised $87.5 million in funding in November, bringing its total financing to just under $160 million.

But despite the company being well-capitalized, when the growth team wants to build something, Hwang still must work hard to convince the higher-ups in finance, engineering and product that it makes sense from a capital standpoint, both human and cash.

“It depends on what you’re trying to build and how customized it is,” Hwang said. “How much will we be using the tools? How much can we pay someone to do it for us? How does our strategy include us using those tools in the future? Or will it be a black hole of engineering hours?

“It’s about knowing how to pitch this internally and knowing who your key stakeholders are.”

Must Read

Puzzle pieces connected together. Two puzzle pieces with cables coming together on yellow background. Problem solving concept, business solutions and ideas. Vector illustration.

The Boring Infrastructure That Could Make Agentic AI Happen For Ad Tech

AI agents are moving fast, but MadConnect says ad tech’s slow, messy plumbing still needs an overhaul before agentic marketing can really work.

Understanding MCP, The ‘Universal Adapter’ For AI In Advertising

Your TL;DR on MCP, the open standard that lets AI models connect to tools, remember context and run workflows across platforms.

YouTube Americas Leader Tara Walpert Levy Says Measurement Proves Creators Do TV Ads Best

“We are focused on being where the world watches video,” said Tara Walpert Levy, YouTube’s VP, Americas at the Convergent TV conference in NYC on Thursday. “And to us that now is TV.”

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Paramount Skydance Is Trying To Buy WBD. Now What?

Late last week, Netflix walked away from plans to acquire Warner Bros., clearing the way for Paramount Skydance to scoop up the whole company with its hostile takeover bid.

Sallie Has An Ad Business And Meta Is Declining Credit Cards

Sallie, the major issuer of US education loans, is getting into the retail media network business.

Meta Has A New Way To Measure Social Engagement (Because Clicks Don’t Cut It)

Meta will now measure social interactions like likes, shares and comments under a new “engage-through attribution” category, replacing click-through as the default.