Why brands trust Interconnections.

Interconnections was founded in 2016 by Abhinav Singh, after years of managing paid media for ecommerce brands and watching the same pattern repeat: the ads were rarely the real bottleneck.

The pattern went like this. A brand would come in convinced its media buying was broken. Platform return looked acceptable, sometimes good, and the bank account still told a different story. Somebody would rebuild the campaigns, the numbers would move for a month, and then the same problem would come back wearing different clothes. After enough of those, it stopped looking like a media buying problem and started looking like a measurement and margin problem that media buying had been asked to solve on its own.

Over ten years the team has managed more than $500 million in ad spend across 300 or more DTC and ecommerce brands, and run 276 brand audits. The audits are the part that matters most, because auditing that many accounts in a row is how you stop guessing. You start seeing which constraints actually recur and which ones founders only think are the problem. Margins, the offer, the lifecycle, the creative, and the product page came up far more often than campaign structure did.

So Interconnections stopped operating like a media buying shop. Every engagement now starts with a diagnostic rather than a proposal, because a proposal written before anyone has looked at the numbers is a guess with a price on it. The diagnostic finds the constraint. Then the work goes wherever the constraint actually is, whether that is the campaigns, the offer, the retention flows, the product page, or all of them at once. Sometimes the honest answer is that paid media is not the lever at all, and saying so early costs a retainer and saves the client six months.

Abhinav works on accounts directly rather than overseeing them. There is no layer between the person who diagnosed the problem and the person who does the work, which is deliberate: the alternative is a strategist who writes a plan and never sees whether it survived contact with the account. That also means Interconnections takes on fewer clients than an agency of its billing history normally would.

The reporting reflects the same bias. Interconnections reports marketing efficiency ratio and contribution margin, not platform return on ad spend. Platform ROAS is a number each ad network calculates about its own contribution, which means it can look healthy in every dashboard while the blended picture quietly gets worse. MER divides total revenue by total marketing spend across every channel, so it cannot flatter one platform at the expense of the business. Founders who have only ever seen platform numbers usually find the first MER report uncomfortable. That is the point of it.

The work also gets published. Interconnections runs original benchmark studies computed from its own reporting warehouse rather than from surveys or other people’s aggregates, including a study of 368 Meta creatives across 15 DTC brands and a repeat-purchase study covering 468,386 orders across 17 brands. Those reports state what the data cannot show as plainly as what it can, including where a widely repeated industry number turned out to have no traceable primary source.

Interconnections works remotely with brands across the United States and North America. No long-term contracts, no pitch decks, and no work taken on where there is no honest path to moving the number.