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Demand Generation Growth Architecting Sales & Marketing Scientific Forecasting

Path to Faster Revenue Attainment – And Steeper Revenue Ramps

If you want to know how your marketing and demand gen teams performed last quarter, you’re in luck. There’s a slew of marketing and revenue analytics tools geared at measuring historical lead generation and conversion rates and attributing past revenue to lead sources. But if you’re the CEO of a small to medium-sized tech startup, […]

Demand Generation Growth Architecting Precision Segmentation Sales & Marketing Scientific Forecasting

Are you missing your number or is someone over-forecasting?

In a perfect world, your company would hit its revenue projection every time. In a good-enough world, you’d hit it at least most of the time. Unfortunately, the current reality may not reflect either of those scenarios. Small Business Trends reports that in 2018, 46% of sales reps missed their quotas. According to Forbes, the […]

ABM Demand Generation Growth Architecting Marketing Marketing Trends Sales & Marketing Scientific Forecasting

From Reactive Analytics to Proactive Growth: What B2B Martech Needs

Marketing, Sales, and Operations teams today have no shortage of tech solutions at their disposal. Ask any team – even those at startups and SMBs – and they’ll likely tell you their tech stack looks more like a tech skyscraper, built with a litany of tools for demand gen, analytics, and lead attribution. The problems? […]

COVID-19 Growth Architecting Management Marketing Scientific Forecasting

Weathering the COVID-19 storm – How to Quickly Reforecast to not Get Blown Off Course

We’re at the knee of the COVID-19 infection curve in the US with several thousand confirmed; new infections already announced this weekend (the date of this writing is March 15, 2020). Most logistic curve simulations of the virus’ spread suggest a doubling of total infections every 4 to 6 days until containment methods like social […]

Scientific Forecasting

Scientific Forecasting – 4 of 4: Get buy-in

This is the last blog in our 4-blog series on Scientific Forecasting. In the previous blogs we discussed three major topics, i.e. cultural hurdles to forecasting, in-quarter corrective actions, and forecast types by forecasting time horizons. Once mastered, addressing these three areas will result in higher forecasting predictability. What looks easy, is however not so […]